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Luc Van Gool

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affiliation: ETH Zurich, Computer Vision Lab, Switzerland
affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS), Belgium

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2024
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Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool:
Global and Compact Video Context Embedding for Video Semantic Segmentation. IEEE Access 12: 135589-135600 (2024)
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Deng-Ping Fan, Nick Barnes, Ming-Ming Cheng, Luc Van Gool:
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21(4): 615-616 (2024)
[j198]
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Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Rethinking Global Context in Crowd Counting. Mach. Intell. Res. 21(4): 640-651 (2024)
[j197]
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Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21(4): 670-683 (2024)
[j196]
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. Int. J. Comput. Vis. 132(4): 1310-1335 (2024)
[j195]
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. 132(9): 3806-3822 (2024)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 220-235 (2024)
[j193]
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Wenguan Wang, Guolei Sun, Luc Van Gool:
Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1635-1649 (2024)
[j192]
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Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (2024)
[j191]
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Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024)
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Guolei Sun, Yun Liu, Henghui Ding, Min Wu, Luc Van Gool:
Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6919-6934 (2024)
[j189]
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Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Toward High-Quality HDR Deghosting With Conditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4011-4026 (2024)
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024)
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  - conf/cvpr/Cheng0GK24
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Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CVPR 2024: 2274-2284
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Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CVPR 2024: 2447-2456
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR 2024: 2824-2834
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Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CVPR 2024: 3544-3553
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Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CVPR 2024: 3996-4006
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Continuous Pose for Monocular Cameras in Neural Implicit Representation. CVPR 2024: 5291-5301
[c892]
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CVPR Workshops 2024: 6035-6044
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Saman Motamed, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CVPR Workshops 2024: 7406-7415
[c890]
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CVPR 2024: 9848-9858
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CVPR 2024: 10106-10116
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Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR 2024: 18286-18296
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CVPR 2024: 19156-19166
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Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CVPR 2024: 20363-20373
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Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool:
Real-World Mobile Image Denoising Dataset with Efficient Baselines. CVPR 2024: 22368-22377
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CVPR 2024: 25912-25921
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Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR 2024: 26191-26201
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74
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Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. ECCV (39) 2024: 91-109
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Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
PALM: Predicting Actions through Language Models. ECCV (82) 2024: 140-158
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Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. ECCV (39) 2024: 257-275
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Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) 2024: 329-346
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024
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Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu:
Lightweight Image Super-Resolution via Flexible Meta Pruning. ICML 2024
[c874]
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Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool:
Image Fusion via Vision-Language Model. ICML 2024
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David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. SIGGRAPH (Conference Paper Track) 2024: 130
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Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool:
MS-EVS: Multispectral event-based vision for deep learning based face detection. WACV 2024: 605-614
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. WACV 2024: 4065-4074
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822
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Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. WACV 2024: 6853-6863
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Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool:
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion. WACV 2024: 6977-6987
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Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV 2024: 7321-7330
[i518]
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Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. CoRR abs/2401.02418 (2024)
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Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari:
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR abs/2401.05335 (2024)
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Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024)
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Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty. CoRR abs/2401.12761 (2024)
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Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CoRR abs/2401.15261 (2024)
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Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool:
Image Fusion via Vision-Language Model. CoRR abs/2402.02235 (2024)
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Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024)
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Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang:
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector. CoRR abs/2402.03094 (2024)
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Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CoRR abs/2402.09944 (2024)
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Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2403.00592 (2024)
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Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal:
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. CoRR abs/2403.06904 (2024)
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR abs/2403.16161 (2024)
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CoRR abs/2403.18913 (2024)
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Ganlin Zhang, Erik Sandström, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald:
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM. CoRR abs/2403.19549 (2024)
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Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CoRR abs/2404.01243 (2024)
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Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang:
I-Design: Personalized LLM Interior Designer. CoRR abs/2404.02838 (2024)
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Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR abs/2404.03159 (2024)
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CoRR abs/2404.03658 (2024)
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Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamín Béjar, Luc Van Gool:
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation. CoRR abs/2404.03799 (2024)
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Juan Wen, Yawei Li, Chao Zhang, Weiyan Hou, Radu Timofte, Luc Van Gool:
Empowering Image Recovery_ A Multi-Attention Approach. CoRR abs/2404.04617 (2024)
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Saman Motamed, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CoRR abs/2404.05519 (2024)
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Zhipeng Zhang, Zhimin Wei, Guolei Sun, Peng Wang, Luc Van Gool:
Self-Explainable Affordance Learning with Embodied Caption. CoRR abs/2404.05603 (2024)
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David Borts, Erich Liang, Tim Brödermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. CoRR abs/2405.04662 (2024)
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Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari:
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CoRR abs/2405.16544 (2024)
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Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Towards a Generalist and Blind RGB-X Tracker. CoRR abs/2405.17773 (2024)
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Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024)
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CoRR abs/2406.04221 (2024)
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Zhejun Zhang, Christos Sakaridis, Luc Van Gool:
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding. CoRR abs/2406.10898 (2024)
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Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. CoRR abs/2406.17438 (2024)
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Daiwei Zhang, Gengyan Li, Jiajie Li, Mickaël Bressieux, Otmar Hilliges, Marc Pollefeys, Luc Van Gool, Xi Wang:
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting. CoRR abs/2406.19811 (2024)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024)
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Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning. CoRR abs/2407.05862 (2024)
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Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool:
Any Image Restoration with Efficient Automatic Degradation Adaptation. CoRR abs/2407.13372 (2024)
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Kamil Adamczewski, Yawei Li, Luc Van Gool:
Shapley Pruning for Neural Network Compression. CoRR abs/2407.15875 (2024)
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Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran:
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR abs/2407.18695 (2024)
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Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool, Christos Sakaridis:
Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception. CoRR abs/2407.20336 (2024)
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Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool:
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR abs/2408.06286 (2024)
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Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström, Ajad Chhatkuli, Luc Van Gool:
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction. CoRR abs/2408.08766 (2024)
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Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiaohao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang:
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. CoRR abs/2408.09110 (2024)
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  - journals/corr/abs-2408-10906
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Qi Ma, Yue Li, Bin Ren, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Danda Pani Paudel:
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. CoRR abs/2408.10906 (2024)
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Shamik Basu, Christos Sakaridis, Luc Van Gool:
Physically Feasible Semantic Segmentation. CoRR abs/2408.14672 (2024)
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Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR abs/2408.16478 (2024)
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Nedyalko Prisadnikov, Wouter Van Gansbeke, Danda Pani Paudel, Luc Van Gool:
A Simple and Generalist Approach for Panoptic Segmentation. CoRR abs/2408.16504 (2024)
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Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits. CoRR abs/2409.01690 (2024)
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Naser Kazemi, Nedko Savov, Danda Pani Paudel, Luc Van Gool:
Learning Generative Interactive Environments By Trained Agent Exploration. CoRR abs/2409.06445 (2024)
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Asen Nachkov, Danda Pani Paudel, Luc Van Gool:
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation. CoRR abs/2409.07965 (2024)
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Ozan Unal, Christos Sakaridis, Luc Van Gool:
Bayesian Self-Training for Semi-Supervised 3D Segmentation. CoRR abs/2409.08102 (2024)
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Ke Li, Luc Van Gool, Dengxin Dai:
Test-time Training for Hyperspectral Image Super-resolution. CoRR abs/2409.08667 (2024)
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Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool:
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. CoRR abs/2409.11235 (2024)
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Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024)
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Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel:
ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models. CoRR abs/2409.15250 (2024)
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Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari:
Self-supervised Shape Completion via Involution and Implicit Correspondences. CoRR abs/2409.15939 (2024)
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. CoRR abs/2409.17221 (2024)
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool:
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. CoRR abs/2410.01806 (2024)
2023
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Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari:
Unsupervised Template Warp Consistency for Implicit Surface Correspondences. Comput. Graph. Forum 42(2): 77-87 (2023)
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Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool:
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66(12) (2023)
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Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20(1): 92-108 (2023)
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Ge-Peng Ji, Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, Luc Van Gool:
Masked Vision-language Transformer in Fashion. Int. J. Autom. Comput. 20(3): 421-434 (2023)
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Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023)
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023)
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Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool:
Active Perception for Visual-Language Navigation. Int. J. Comput. Vis. 131(3): 607-625 (2023)
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Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. Int. J. Comput. Vis. 131(4): 1042-1059 (2023)
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Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. 131(8): 2070-2096 (2023)
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Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 123-136 (2023)
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Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang:
A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7099-7122 (2023)
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10247-10266 (2023)
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Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023)
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Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023)
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Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs With Multi-Scale Contrastive Learning for Semantic Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14435-14452 (2023)
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Ozan Unal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. 8(11): 7671-7678 (2023)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression With In-Loop Frame Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2410-2423 (2023)
[j170]
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023)
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Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in deep concealed scene understanding. Vis. Intell. 1(1) (2023)
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Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. BMVC 2023: 405
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Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. BMVC 2023: 542
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  - conf/ciarp/KuznietsovPG23
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Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry. CIARP 2023: 674-684
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Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoLLAs 2023: 1091-1111
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Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CVPR Workshops 2023: 1150-1159
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229
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Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang:
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CVPR 2023: 2173-2182
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Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CVPR 2023: 3198-3207
[c854]
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Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CVPR 2023: 5775-5784
[c853]
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916
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Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops 2023: 6114-6123
[c851]
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Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR 2023: 7225-7235
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Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR 2023: 11721-11732
[c849]
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CVPR 2023: 13208-13217
[c848]
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Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CVPR 2023: 13611-13620
[c847]
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Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CVPR 2023: 13791-13801
[c846]
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Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR 2023: 15169-15179
[c845]
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR 2023: 17346-17356
[c844]
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Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR 2023: 18043-18052
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CVPR 2023: 18278-18289
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Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool:
Structured Sparsity Learning for Efficient Video Super-Resolution. CVPR 2023: 22638-22647
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. ICCV 2023: 1032-1042
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Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV 2023: 2139-2150
[c839]
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Deformable Neural Radiance Fields using RGB and Event Cameras. ICCV 2023: 3567-3577
[c838]
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. ICCV 2023: 8048-8059
[c837]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Improving Online Lane Graph Extraction by Object-Lane Clustering. ICCV 2023: 8557-8567
[c836]
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Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. ICCV 2023: 8613-8623
[c835]
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Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia:
Self-Supervised Burst Super-Resolution. ICCV 2023: 10571-10580
[c834]
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Dreamwalker: Mental Planning for Continuous Vision-Language Navigation. ICCV 2023: 10839-10849
[c833]
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David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. ICCV 2023: 11344-11353
[c832]
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. ICCV 2023: 11429-11439
[c831]
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV 2023: 12513-12524
[c830]
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. ICCV 2023: 13049-13059
[c829]
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Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Surface Normal Clustering for Implicit Representation of Manhattan Scenes. ICCV 2023: 17814-17824
[c828]
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Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald:
Point-SLAM: Dense Neural Point Cloud-based SLAM. ICCV 2023: 18387-18398
[c827]
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Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV 2023: 19177-19188
[c826]
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Ali Diba, Vivek Sharma, Mohammad Mahdi Arzani, Luc Van Gool:
Spatio-Temporal Convolution-Attention Video Network. ICCV (Workshops) 2023: 859-869
[c825]
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Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810
[c824]
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Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. ICCV (Workshops) 2023: 2880-2890
[c823]
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Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald:
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. ICCV (Workshops) 2023: 4539-4550
[c822]
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Token-Consistent Dropout For Calibrated Vision Transformers. ICIP 2023: 1030-1034
[c821]
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Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool:
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. ICLR 2023
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR 2023
[c819]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. ICLR 2023
[c818]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR 2023
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Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno:
Learning continuous piecewise non-linear activation functions for deep neural networks. ICME 2023: 1835-1840
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023: 1522-1529
[c815]
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Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. ICRA 2023: 11425-11431
[c814]
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Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023: 5582-5589
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Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605
[c812]
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Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool:
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. ISMAR-Adjunct 2023: 746-751
[c811]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Online Lane Graph Extraction from Onboard Video. ITSC 2023: 1663-1670
[c810]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. ITSC 2023: 1671-1678
[c809]
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Tim Brödermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. ITSC 2023: 4159-4166
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
MultiVT: Multiple-Task Framework for Dentistry. DART@MICCAI 2023: 12-21
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Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Padding Investigations for CNNs in Scene Parsing Tasks. MVA 2023: 1-5
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Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao:
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer. NeurIPS 2023
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Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov:
Autodecoding Latent 3D Diffusion Models. NeurIPS 2023
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Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. NeurIPS 2023
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Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023
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Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. WACV 2023: 734-743
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Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. WACV 2023: 1084-1093
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Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool:
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. WACV 2023: 1339-1349
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Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. WACV 2023: 1571-1581
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. WACV 2023: 1735-1744
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Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134
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David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV 2023: 3173-3183
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV 2023: 3817-3826
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Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool:
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. WACV 2023: 4134-4145
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Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. WACV 2023: 5998-6007
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Ke Li, Dengxin Dai, Luc Van Gool:
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV 2023: 6373-6383
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  - journals/corr/abs-2301-05191
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Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR abs/2301.05191 (2023)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023)
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023)
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR abs/2303.04116 (2023)
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Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR abs/2303.04118 (2023)
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David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR abs/2303.05194 (2023)
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023)
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023)
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023)
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR abs/2303.09472 (2023)
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Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR abs/2303.11720 (2023)
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Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. CoRR abs/2303.12865 (2023)
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Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CoRR abs/2303.13290 (2023)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CoRR abs/2303.17094 (2023)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR abs/2303.18164 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Online Lane Graph Extraction from Onboard Video. CoRR abs/2304.00930 (2023)
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Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald:
Point-SLAM: Dense Neural Point Cloud-based SLAM. CoRR abs/2304.04278 (2023)
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Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool:
CamDiff: Camouflage Image Augmentation via Diffusion Model. CoRR abs/2304.05469 (2023)
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Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool:
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR abs/2304.06022 (2023)
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Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CoRR abs/2304.06914 (2023)
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Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CoRR abs/2304.08924 (2023)
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Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in Deep Concealed Scene Understanding. CoRR abs/2304.11234 (2023)
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Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CoRR abs/2304.11677 (2023)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR abs/2304.13615 (2023)
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Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR abs/2304.14291 (2023)
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Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool:
Neural Implicit Dense Semantic SLAM. CoRR abs/2304.14560 (2023)
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. CoRR abs/2305.00599 (2023)
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023)
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CoRR abs/2305.11443 (2023)
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Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. CoRR abs/2305.17349 (2023)
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Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoRR abs/2306.04385 (2023)
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Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald:
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. CoRR abs/2306.11048 (2023)
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Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang:
Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023. CoRR abs/2306.16545 (2023)
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Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool:
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. CoRR abs/2307.02138 (2023)
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Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CoRR abs/2307.02402 (2023)
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Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov:
AutoDecoding Latent 3D Diffusion Models. CoRR abs/2307.05445 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Improving Online Lane Graph Extraction by Object-Lane Clustering. CoRR abs/2307.10947 (2023)
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Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis. CoRR abs/2307.12084 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. CoRR abs/2307.13344 (2023)
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Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023)
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Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool:
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR abs/2308.04370 (2023)
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation. CoRR abs/2308.07498 (2023)
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. CoRR abs/2308.13767 (2023)
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. CoRR abs/2308.15827 (2023)
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Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. CoRR abs/2309.04422 (2023)
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Ozan Unal, Christos Sakaridis, Suman Saha, Fisher Yu, Luc Van Gool:
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. CoRR abs/2309.04561 (2023)
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Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. CoRR abs/2309.08020 (2023)
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Deformable Neural Radiance Fields using RGB and Event Cameras. CoRR abs/2309.08416 (2023)
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Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. CoRR abs/2309.08523 (2023)
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Ozan Ünal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. CoRR abs/2309.13276 (2023)
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Jan-Nico Zaech, Martin Danelljan, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CoRR abs/2310.12153 (2023)
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Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. CoRR abs/2310.12970 (2023)
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Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR abs/2310.13355 (2023)
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Zifu Wang, Maxim Berman, Amal Rannen Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. CoRR abs/2310.19252 (2023)
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Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Towards High-quality HDR Deghosting with Conditional Diffusion Models. CoRR abs/2311.00932 (2023)
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Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys:
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. CoRR abs/2311.03345 (2023)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images. CoRR abs/2311.04521 (2023)
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Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. CoRR abs/2311.08043 (2023)
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR abs/2311.11325 (2023)
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR abs/2311.11600 (2023)
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Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool:
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. CoRR abs/2311.12157 (2023)
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Janis Postels, Yannick Strümpler, Klara Reichard, Luc Van Gool, Federico Tombari:
3D Compression Using Neural Fields. CoRR abs/2311.13009 (2023)
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Saman Motamed, Danda Pani Paudel, Luc Van Gool:
Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. CoRR abs/2311.13833 (2023)
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Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR abs/2311.15605 (2023)
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CoRR abs/2311.15851 (2023)
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Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. CoRR abs/2311.16241 (2023)
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Continuous Pose for Monocular Cameras in Neural Implicit Representation. CoRR abs/2311.17119 (2023)
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Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
LALM: Long-Term Action Anticipation with Language Models. CoRR abs/2311.17944 (2023)
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Weijie Wang, Guofeng Mei, Bin Ren, Xiaoshui Huang, Fabio Poiesi, Luc Van Gool, Nicu Sebe, Bruno Lepri:
Zero-Shot Point Cloud Registration. CoRR abs/2312.03032 (2023)
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Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR abs/2312.03048 (2023)
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M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang:
G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving. CoRR abs/2312.08558 (2023)
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Asen Nachkov, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Diffusion-Based Particle-DETR for BEV Perception. CoRR abs/2312.11578 (2023)
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Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel:
Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM. CoRR abs/2312.13332 (2023)
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Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis, Luc Van Gool:
Residual Learning for Image Point Descriptors. CoRR abs/2312.15471 (2023)
2022
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Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Facial-sketch Synthesis: A New Challenge. Int. J. Autom. Comput. 19(4): 257-287 (2022)
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Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. Int. J. Autom. Comput. 19(6): 531-549 (2022)
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022)
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3139-3153 (2022)
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Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022)
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Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, Luc Van Gool:
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4454-4468 (2022)
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Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration With Deep Denoiser Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6360-6376 (2022)
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Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool:
Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7885-7897 (2022)
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Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics Autom. Lett. 7(2): 1332-1339 (2022)
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Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022)
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Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera. IEEE Robotics Autom. Lett. 7(2): 3302-3309 (2022)
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Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022)
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Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7(2): 5103-5110 (2022)
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Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV 2022: 84-93
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Zilin Fang, Mohamad Shahbazi, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Training Dynamics Aware Neural Network Optimization with Stabilization. ACCV (1) 2022: 635-651
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. BMVC 2022: 131
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. BMVC 2022: 200
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. BMVC 2022: 578
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Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817
[c784]
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Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL 2022: 561-570
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CVPR 2022: 191-201
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754
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Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. CVPR Workshops 2022: 797-806
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Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101
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Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR 2022: 1600-1611
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CVPR 2022: 2572-2583
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Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CVPR 2022: 2687-2697
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Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CVPR 2022: 3116-3127
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Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR 2022: 3971-3980
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Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CVPR Workshops 2022: 4499-4509
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Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CVPR 2022: 7191-7201
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CVPR 2022: 8698-8708
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Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CVPR 2022: 8721-8730
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Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CVPR 2022: 8801-8812
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR 2022: 9914-9925
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CVPR 2022: 11224-11233
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CVPR 2022: 11523-11532
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601
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Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CVPR 2022: 13137-13146
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR 2022: 14596-14606
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Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CVPR 2022: 15450-15460
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Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR 2022: 16343-16353
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CVPR 2022: 17242-17251
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530
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Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CVPR 2022: 18208-18217
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR 2022: 21339-21350
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Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) 2022: 19-35
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Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. ECCV (18) 2022: 19-37
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Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56
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Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-rigid Structure from Motion. ECCV (2) 2022: 71-88
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Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. ECCV (26) 2022: 74-91
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Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-sensor Depth Fusion. ECCV (32) 2022: 87-105
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Edward Günther, Rui Gong, Luc Van Gool:
Style Adaptive Semantic Image Editing with Transformers. ECCV Workshops (2) 2022: 187-203
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) 2022: 372-391
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411
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Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
Event-Based Fusion for Motion Deblurring with Cross-modal Attention. ECCV (18) 2022: 412-428
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Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460
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Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. ECCV (34) 2022: 522-539
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Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. ECCV (22) 2022: 571-588
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. ECCV (6) 2022: 625-641
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704
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Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) 2022: 713-730
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022
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Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. ICLR 2022
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343
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Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. ICML 2022: 13394-13404
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Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. ICML 2022: 17870-17909
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684
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Ren Yang, Radu Timofte, Luc Van Gool:
Perceptual Learned Video Compression with Recurrent Conditional GAN. IJCAI 2022: 1537-1544
[c729]
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Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC 2022: 1006-1019
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. NeurIPS 2022
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022
[c726]
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS 2022
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Towards Versatile Embodied Navigation. NeurIPS 2022
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Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2022: 261-271
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Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883
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Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314
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Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. WACV 2022: 2805-2814
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Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979
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Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV 2022: 4039-4048
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022)
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022)
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Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022)
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Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. CoRR abs/2201.06578 (2022)
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022)
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Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022)
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022)
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. CoRR abs/2202.01731 (2022)
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Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CoRR abs/2202.08837 (2022)
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022)
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Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR abs/2202.13162 (2022)
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022)
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Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022)
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Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR abs/2203.03610 (2022)
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Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. CoRR abs/2203.03727 (2022)
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CoRR abs/2203.04279 (2022)
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022)
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Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc Van Gool:
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound. CoRR abs/2203.06639 (2022)
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Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CoRR abs/2203.08537 (2022)
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022)
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild. CoRR abs/2203.10636 (2022)
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Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. CoRR abs/2203.11191 (2022)
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Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CoRR abs/2203.11192 (2022)
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022)
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Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CoRR abs/2203.13591 (2022)
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Ritika Chakraborty, Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. CoRR abs/2203.13812 (2022)
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Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. CoRR abs/2203.14291 (2022)
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CoRR abs/2203.15102 (2022)
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Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR abs/2203.15118 (2022)
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Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CoRR abs/2203.16586 (2022)
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Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. CoRR abs/2204.01263 (2022)
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Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR abs/2204.01267 (2022)
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Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR abs/2204.02091 (2022)
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CoRR abs/2204.02273 (2022)
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José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR abs/2204.02392 (2022)
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Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CoRR abs/2204.03330 (2022)
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Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-Sensor Depth Fusion. CoRR abs/2204.03353 (2022)
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
Neural Vector Fields for Surface Representation and Inference. CoRR abs/2204.06552 (2022)
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR abs/2204.13132 (2022)
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Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool:
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. CoRR abs/2205.05467 (2022)
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022)
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CoRR abs/2205.05676 (2022)
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022)
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Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. CoRR abs/2205.10195 (2022)
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Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR abs/2205.12853 (2022)
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Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. CoRR abs/2205.15469 (2022)
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Gradient Obfuscation Checklist Test Gives a False Sense of Security. CoRR abs/2206.01705 (2022)
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022)
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Wouter Van Gansbeke, Simon Vandenhende, Luc Van Gool:
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation. CoRR abs/2206.06363 (2022)
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Bin Xia, Jingwen He, Yulun Zhang, Yucheng Hang, Wenming Yang, Luc Van Gool:
Residual Sparsity Connection Learning for Efficient Video Super-Resolution. CoRR abs/2206.07687 (2022)
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR abs/2206.08367 (2022)
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022)
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Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection. CoRR abs/2206.15157 (2022)
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Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. CoRR abs/2207.01009 (2022)
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Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. CoRR abs/2207.02255 (2022)
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Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-Rigid Structure from Motion. CoRR abs/2207.06262 (2022)
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David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. CoRR abs/2207.06825 (2022)
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Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation. CoRR abs/2207.10436 (2022)
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022)
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022)
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Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR abs/2208.06888 (2022)
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Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. CoRR abs/2208.08932 (2022)
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Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022)
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Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. CoRR abs/2209.02250 (2022)
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR abs/2209.10304 (2022)
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Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool:
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. CoRR abs/2209.15439 (2022)
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Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. CoRR abs/2209.15529 (2022)
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. CoRR abs/2210.00405 (2022)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. CoRR abs/2210.04233 (2022)
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. CoRR abs/2210.04553 (2022)
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Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022)
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. CoRR abs/2210.07670 (2022)
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. CoRR abs/2210.11557 (2022)
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Ge-Peng Ji, Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, Luc Van Gool:
Masked Vision-Language Transformer in Fashion. CoRR abs/2210.15110 (2022)
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Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CoRR abs/2210.16204 (2022)
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Towards Versatile Embodied Navigation. CoRR abs/2210.16822 (2022)
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. CoRR abs/2211.06263 (2022)
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. CoRR abs/2211.06770 (2022)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression with In-loop Frame Prediction. CoRR abs/2211.07004 (2022)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images. CoRR abs/2211.07491 (2022)
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Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR abs/2211.12131 (2022)
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022)
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. CoRR abs/2211.16928 (2022)
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Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR abs/2212.01322 (2022)
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Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame. CoRR abs/2212.01331 (2022)
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Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR abs/2212.02291 (2022)
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022)
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. CoRR abs/2212.05370 (2022)
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Bowen Yin, Xuying Zhang, Qibin Hou, Boyuan Sun, Deng-Ping Fan, Luc Van Gool:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. CoRR abs/2212.06570 (2022)
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Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool:
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. CoRR abs/2212.07292 (2022)
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR abs/2212.11920 (2022)
2021
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Shurong Sheng, Katrien Laenen, Luc Van Gool, Marie-Francine Moens:
Fine-Grained Cross-Modal Retrieval for Cultural Items with Focal Attention and Hierarchical Encodings. Comput. 10(9): 105 (2021)
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129(1): 246-266 (2021)
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Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021)
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Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129(7): 2223-2243 (2021)
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Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool:
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129(10): 2865-2888 (2021)
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Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021)
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15(2): 388-401 (2021)
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Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé:
Show me where the action is! Multim. Tools Appl. 80(1): 383-408 (2021)
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Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021)
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Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. 3DV 2021: 721-730
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Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. 3DV 2021: 825-836
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Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV 2021: 1249-1258
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. AAAI 2021: 1433-1441
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Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. AAAI 2021: 10379-10387
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Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555
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Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte:
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC 2021: 354
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Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103
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Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. CVPR 2021: 568-577
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Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835
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Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CVPR 2021: 1622-1631
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Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153
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Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814
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Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724
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  - conf/cvpr/PopovicPPSG21
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. CVPR 2021: 6870-6880
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Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207
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Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR 2021: 8344-8354
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218
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Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610
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Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR 2021: 11130-11140
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M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234
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Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. CVPR 2021: 12167-12176
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Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. FG 2021: 1-8
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Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool:
Vi²CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV 2021: 1482-1492
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Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. ICCV 2021: 2340-2349
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. ICCV 2021: 2440-2450
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Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool:
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV 2021: 3273-3282
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Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. ICCV 2021: 3732-3742
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Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV 2021: 4056-4065
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Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. ICCV 2021: 4076-4085
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Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. ICCV 2021: 4771-4780
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Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293
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Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. ICCV 2021: 7406-7416
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Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool:
Task Switching Network for Multi-task Learning. ICCV 2021: 8271-8280
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Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV 2021: 8495-8505
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. ICCV 2021: 8856-8865
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV 2021: 10032-10042
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. ICCV 2021: 10326-10336
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV 2021: 10745-10755
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Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. ICCV 2021: 13424-13434
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Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. ICCV 2021: 13536-13546
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021: 15202-15212
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Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV 2021: 15263-15272
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. ICCV 2021: 15641-15650
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David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858
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Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. ICCVW 2021: 923-934
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Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844
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Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865
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Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. ICCVW 2021: 1924-1933
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Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738
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Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838
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Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846
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Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854
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Francesco Banterle, Rui Gong, Massimiliano Corsini, Fabio Ganovelli, Luc Van Gool, Paolo Cignoni:
A Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines. ICIP 2021: 3667-3671
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Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. ICRA 2021: 8046-8052
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Fast Few-Shot Classification by Few-Iteration Meta-Learning. ICRA 2021: 9522-9528
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. IJCAI 2021: 3002-3009
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. IROS 2021: 1102-1109
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Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. IROS 2021: 5937-5943
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS 2021: 16238-16250
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Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Facial Emotion Recognition with Noisy Multi-task Annotations. WACV 2021: 21-31
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Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences. WACV 2021: 2906-2916
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Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. WACV 2021: 2949-2958
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Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. WACV 2021: 3511-3518
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. CoRR abs/2101.01710 (2021)
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. CoRR abs/2101.01715 (2021)
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Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. CoRR abs/2101.02196 (2021)
[i295]
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Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR abs/2101.05796 (2021)
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Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool:
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. CoRR abs/2101.06658 (2021)
[i293]
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Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021)
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CoRR abs/2101.10997 (2021)
[i291]
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Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR abs/2101.11939 (2021)
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR abs/2102.06191 (2021)
[i289]
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Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes. CoRR abs/2102.06696 (2021)
[i288]
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Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR abs/2103.04217 (2021)
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Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CoRR abs/2103.04570 (2021)
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M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR abs/2103.11264 (2021)
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Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. CoRR abs/2103.14006 (2021)
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Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. CoRR abs/2103.14577 (2021)
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Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR abs/2103.15977 (2021)
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Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. CoRR abs/2103.16556 (2021)
[i281]
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. CoRR abs/2104.03308 (2021)
[i280]
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Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. CoRR abs/2104.05706 (2021)
[i279]
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Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool:
LocalViT: Bringing Locality to Vision Transformers. CoRR abs/2104.05707 (2021)
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Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021)
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. CoRR abs/2104.13395 (2021)
[i276]
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Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2104.13613 (2021)
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David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021)
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Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR abs/2105.07830 (2021)
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Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. CoRR abs/2105.08463 (2021)
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Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Boosting Crowd Counting with Transformers. CoRR abs/2105.10926 (2021)
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Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. CoRR abs/2106.00783 (2021)
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Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. CoRR abs/2106.03135 (2021)
[i269]
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Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Transformer in Convolutional Neural Networks. CoRR abs/2106.03180 (2021)
[i268]
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CoRR abs/2106.03959 (2021)
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR abs/2106.05967 (2021)
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Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool:
Video Super-Resolution Transformer. CoRR abs/2106.06847 (2021)
[i265]
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Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. CoRR abs/2107.00649 (2021)
[i264]
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Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. CoRR abs/2107.01153 (2021)
[i263]
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Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool:
Boosting Few-shot Semantic Segmentation with Transformers. CoRR abs/2108.02266 (2021)
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Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. CoRR abs/2108.05246 (2021)
[i261]
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Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. CoRR abs/2108.05249 (2021)
[i260]
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Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR abs/2108.05301 (2021)
[i259]
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Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. CoRR abs/2108.05302 (2021)
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Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. CoRR abs/2108.05814 (2021)
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR abs/2108.08265 (2021)
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021)
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Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. CoRR abs/2108.10257 (2021)
[i254]
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Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. CoRR abs/2108.11505 (2021)
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Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2108.12545 (2021)
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Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR abs/2109.02763 (2021)
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Ren Yang, Luc Van Gool, Radu Timofte:
Perceptual Learned Video Compression with Recurrent Conditional GAN. CoRR abs/2109.03082 (2021)
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Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021)
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Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Context-aware Padding for Semantic Segmentation. CoRR abs/2109.07854 (2021)
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR abs/2109.13912 (2021)
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  - journals/corr/abs-2110-00464
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Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. CoRR abs/2110.00464 (2021)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. CoRR abs/2110.01997 (2021)
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Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR abs/2110.05594 (2021)
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Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR abs/2110.05621 (2021)
[i243]
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Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR abs/2111.03649 (2021)
[i242]
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021)
[i241]
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Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021)
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Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CoRR abs/2111.12707 (2021)
[i239]
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Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CoRR abs/2111.13333 (2021)
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Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR abs/2111.14673 (2021)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR abs/2111.14887 (2021)
[i236]
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Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. CoRR abs/2112.00167 (2021)
[i235]
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Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. CoRR abs/2112.04267 (2021)
[i234]
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Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. CoRR abs/2112.09686 (2021)
[i233]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CoRR abs/2112.10155 (2021)
[i232]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. CoRR abs/2112.10196 (2021)
[i231]
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Stochastic Layers in Vision Transformers. CoRR abs/2112.15111 (2021)
[i230]
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Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Deep Facial Synthesis: A New Challenge. CoRR abs/2112.15439 (2021)
2020
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Xuanli Chen, Luc Van Gool:
Fully in tensor computation manner: one-shot dense 3D structured light and beyond. Cogn. Comput. Syst. 2(4): 262-272 (2020)
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Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. Int. J. Comput. Vis. 128(5): 1182-1204 (2020)
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Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020)
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Shuhang Gu, Shi Guo, Wangmeng Zuo, Yunjin Chen, Radu Timofte, Luc Van Gool, Lei Zhang:
Learned Dynamic Guidance for Depth Image Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2437-2452 (2020)
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Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Geometrically Mappable Image Features. IEEE Robotics Autom. Lett. 5(2): 2062-2069 (2020)
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Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. 5(4): 6813-6820 (2020)
[j140]
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Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 549-565 (2020)
[c653]
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David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC 2020
[c652]
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Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere:
Branched Multi-Task Networks: Deciding what layers to share. BMVC 2020
[c651]
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Marc Yanlong Zhang, Zhiwu Huang, Danda Pani Paudel, Janine Thoma, Luc Van Gool:
Weakly Paired Multi-Domain Image Translation. BMVC 2020
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  - conf/cvpr/PaschalidouGG20
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Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. CVPR 2020: 1057-1067
[c649]
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Anna Volokitin, Ender Konukoglu, Luc Van Gool:
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. CVPR Workshops 2020: 1530-1538
[c648]
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Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. CVPR Workshops 2020: 2275-2285
[c647]
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Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CVPR 2020: 3214-3223
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Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CVPR Workshops 2020: 3490-3499
[c645]
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Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops 2020: 4326-4334
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. CVPR 2020: 6627-6636
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Fabian Mentzer, Luc Van Gool, Michael Tschannen:
Learning Better Lossless Compression Using Lossy Compression. CVPR 2020: 6637-6646
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CVPR 2020: 7181-7190
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Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR 2020: 8015-8024
[c640]
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  - conf/eccv/DeruyttereVGLGB20
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. ECCV Workshops (2) 2020: 3-26
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Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. ECCV (7) 2020: 125-141
[c638]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. ECCV (23) 2020: 205-221
[c637]
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Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte:
Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. ECCV Workshops (4) 2020: 252-266
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
SCAN: Learning to Classify Images Without Labels. ECCV (10) 2020: 268-285
[c635]
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Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool:
Fixing Localization Errors to Improve Image Classification. ECCV (25) 2020: 271-287
[c634]
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Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-Based Image Enhancement with Task Adaptive Global Feature Self-guided Network. ECCV Workshops (3) 2020: 343-358
[c633]
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Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool:
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation. ECCV (2) 2020: 347-365
[c632]
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Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. ECCV (22) 2020: 394-411
[c631]
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Frank Verbiest, Marc Proesmans, Luc Van Gool:
Modeling the Effects of Windshield Refraction for Camera Calibration. ECCV (6) 2020: 397-412
[c630]
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps. ECCV (30) 2020: 442-459
[c629]
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Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai:
Weakly Supervised 3D Object Detection from Lidar Point Cloud. ECCV (13) 2020: 515-531
[c628]
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Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning. ECCV (4) 2020: 527-543
[c627]
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  - conf/eccv/Fernandez-Labrador20
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Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Josechu J. Guerrero, Cédric Demonceaux, Luc Van Gool:
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets. ECCV (25) 2020: 546-563
[c626]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Large Scale Holistic Video Understanding. ECCV (5) 2020: 593-610
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Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. ECCV (8) 2020: 608-624
[c623]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. ECCV (4) 2020: 638-655
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Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. ECCV (3) 2020: 661-679
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Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) 2020: 689-707
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. ECCV (5) 2020: 715-732
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794
[c618]
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Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
Unpaired Image-To-Image Shape Translation Across Fashion Data. ICIP 2020: 206-210
[c617]
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Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. ICML 2020: 7392-7404
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Simon Hecker, Dengxin Dai, Alexander Liniger, Martin Hahner, Luc Van Gool:
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. IROS 2020: 2346-2353
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Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. IROS 2020: 8982-8989
[c614]
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Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. IROS 2020: 10233-10240
[c613]
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Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. MICCAI (7) 2020: 657-666
[c612]
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Janine Thoma, Danda Pani Paudel, Luc Van Gool:
Soft Contrastive Learning for Visual Localization. NeurIPS 2020
[c611]
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. NeurIPS 2020
[c610]
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Alexander Liniger, Luc Van Gool:
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model. Robotics: Science and Systems 2020
[c609]
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Evangelos Ntavelis, Iason Kastanis, Luc Van Gool, Radu Timofte:
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks. SDS 2020: 17-22
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Zhicheng Fang, Xiaoran Chen, Yuhua Chen, Luc Van Gool:
Towards Good Practice for CNN-Based Monocular Depth Estimation. WACV 2020: 1080-1089
[c607]
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Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. WACV 2020: 2862-2871
[i229]
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  - journals/corr/abs-2001-02613
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Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR abs/2001.02613 (2020)
[i228]
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Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning. CoRR abs/2001.06902 (2020)
[i227]
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Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. CoRR abs/2002.05509 (2020)
[i226]
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement. CoRR abs/2003.01966 (2020)
[i225]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. CoRR abs/2003.04210 (2020)
[i224]
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Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, José Jesús Guerrero, Cédric Demonceaux, Luc Van Gool:
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets. CoRR abs/2003.07619 (2020)
[i223]
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Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CoRR abs/2003.08935 (2020)
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Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Geometrically Mappable Image Features. CoRR abs/2003.09682 (2020)
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Fabian Mentzer, Luc Van Gool, Michael Tschannen:
Learning Better Lossless Compression Using Lossy Compression. CoRR abs/2003.10184 (2020)
[i220]
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Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CoRR abs/2003.10428 (2020)
[i219]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. CoRR abs/2003.11014 (2020)
[i218]
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020)
[i217]
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CoRR abs/2003.12565 (2020)
[i216]
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Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. CoRR abs/2003.13683 (2020)
[i215]
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Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. CoRR abs/2004.01176 (2020)
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Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Quantifying Data Augmentation for LiDAR based 3D Object Detection. CoRR abs/2004.01643 (2020)
[i213]
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Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. CoRR abs/2004.04977 (2020)
[i212]
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Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Revisiting Multi-Task Learning in the Deep Learning Era. CoRR abs/2004.13379 (2020)
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Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. CoRR abs/2004.14251 (2020)
[i210]
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Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network. CoRR abs/2005.06654 (2020)
[i209]
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Alexander Liniger, Luc Van Gool:
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model. CoRR abs/2005.07691 (2020)
[i208]
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Learning To Classify Images Without Labels. CoRR abs/2005.12320 (2020)
[i207]
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. CoRR abs/2005.14553 (2020)
[i206]
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Suryansh Kumar, Luc Van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li:
Dense Non-Rigid Structure from Motion: A Manifold Viewpoint. CoRR abs/2006.09197 (2020)
[i205]
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Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu:
Consistency Guided Scene Flow Estimation. CoRR abs/2006.11242 (2020)
[i204]
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model. CoRR abs/2006.13560 (2020)
[i203]
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. CoRR abs/2006.14200 (2020)
[i202]
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
Analogical Image Translation for Fog Generation. CoRR abs/2006.15618 (2020)
[i201]
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Ren Yang, Luc Van Gool, Radu Timofte:
OpenDVC: An Open Source Implementation of the DVC Video Compression Method. CoRR abs/2006.15862 (2020)
[i200]
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Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture. CoRR abs/2006.16242 (2020)
[i199]
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Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool:
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation. CoRR abs/2007.01947 (2020)
[i198]
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Rui Gong, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Self-Calibration Supported Robust Projective Structure-from-Motion. CoRR abs/2007.02045 (2020)
[i197]
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Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. CoRR abs/2007.04780 (2020)
[i196]
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Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. CoRR abs/2007.06631 (2020)
[i195]
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Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. CoRR abs/2007.07020 (2020)
[i194]
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Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. CoRR abs/2007.07218 (2020)
[i193]
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Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai:
Weakly Supervised 3D Object Detection from Lidar Point Cloud. CoRR abs/2007.11901 (2020)
[i192]
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Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR abs/2007.12540 (2020)
[i191]
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Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. CoRR abs/2007.16112 (2020)
[i190]
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  - journals/corr/abs-2008-10292
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David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR abs/2008.10292 (2020)
[i189]
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Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images. CoRR abs/2008.12165 (2020)
[i188]
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Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration with Deep Denoiser Prior. CoRR abs/2008.13751 (2020)
[i187]
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  - journals/corr/abs-2009-07823
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. CoRR abs/2009.07823 (2020)
[i186]
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. CoRR abs/2009.08792 (2020)
[i185]
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Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation. CoRR abs/2009.10569 (2020)
[i184]
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  - journals/corr/abs-2010-00058
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Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. CoRR abs/2010.00058 (2020)
[i183]
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  - journals/corr/abs-2010-00511
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Few-Shot Classification By Few-Iteration Meta-Learning. CoRR abs/2010.00511 (2020)
[i182]
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  - journals/corr/abs-2010-02315
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Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. CoRR abs/2010.02315 (2020)
[i181]
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  - journals/corr/abs-2010-07258
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Ali Varamesh, Ali Diba, Tinne Tuytelaars, Luc Van Gool:
Self-Supervised Ranking for Representation Learning. CoRR abs/2010.07258 (2020)
[i180]
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  - journals/corr/abs-2010-09849
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Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Facial Emotion Recognition with Noisy Multi-task Annotations. CoRR abs/2010.09849 (2020)
[i179]
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  - journals/corr/abs-2010-11619
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Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Self-Supervised Shadow Removal. CoRR abs/2010.11619 (2020)
[i178]
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  - journals/corr/abs-2010-11724
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Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020)
[i177]
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  - journals/corr/abs-2010-14535
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. CoRR abs/2010.14535 (2020)
[i176]
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  - journals/corr/abs-2011-05680
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Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. CoRR abs/2011.05680 (2020)
[i175]
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  - journals/corr/abs-2011-08652
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Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall:
3D CNNs with Adaptive Temporal Feature Resolutions. CoRR abs/2011.08652 (2020)
[i174]
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  - journals/corr/abs-2011-13332
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Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. CoRR abs/2011.13332 (2020)
[i173]
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  - journals/corr/abs-2012-03040
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Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera. CoRR abs/2012.03040 (2020)
[i172]
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  - journals/corr/abs-2012-03082
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Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari:
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space. CoRR abs/2012.03082 (2020)
[i171]
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  - journals/corr/abs-2012-06777
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Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CoRR abs/2012.06777 (2020)
[i170]
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  - journals/corr/abs-2012-07489
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Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. CoRR abs/2012.07489 (2020)
[i169]
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  - journals/corr/abs-2012-08278
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Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CoRR abs/2012.08278 (2020)
[i168]
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  - journals/corr/abs-2012-08385
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. CoRR abs/2012.08385 (2020)
[i167]
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  - journals/corr/abs-2012-09030
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. CoRR abs/2012.09030 (2020)
[i166]
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  - journals/corr/abs-2012-10782
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Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2012.10782 (2020)
[i165]
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  - journals/corr/abs-2012-13033
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Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. CoRR abs/2012.13033 (2020)
[i164]
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  - journals/corr/abs-2012-15680
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Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. CoRR abs/2012.15680 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j139]
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Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation without Temporal Information. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1515-1530 (2019)
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Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks for Action Recognition in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2740-2755 (2019)
[c606]
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Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets. AAAI 2019: 3886-3893
[c605]
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Tracking the Known and the Unknown by Leveraging Semantic Information. BMVC 2019: 292
[c604]
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Ayça Takmaz, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Learning Feature Representations for Look-Alike Images. CVPR Workshops 2019: 21-24
[c603]
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Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. CVPR Workshops 2019: 601-610
[c602]
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  - conf/cvpr/ProbstPCG19
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Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Unsupervised Learning of Consensus Maximization for 3D Vision Problems. CVPR 2019: 929-938
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Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool:
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. CVPR 2019: 1841-1850
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. CVPR Workshops 2019: 2241-2253
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Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool:
DLOW: Domain Flow for Adaptation and Generalization. CVPR 2019: 2477-2486
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Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool:
Sliced Wasserstein Generative Models. CVPR 2019: 3713-3722
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Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Thomas Probst, Luc Van Gool:
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map. CVPR 2019: 7383-7391
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Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
What Correspondences Reveal About Unknown Camera and Motion Models? CVPR 2019: 8730-8738
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Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CVPR 2019: 8837-8845
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Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution With Deep Learning. CVPR 2019: 9671-9680
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CVPR 2019: 10629-10638
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting. CVPR 2019: 10853-10862
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens:
Talk2Car: Taking Control of Your Self-Driving Car. EMNLP/IJCNLP (1) 2019: 2088-2098
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV 2019: 221-231
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Qin Wang, Wen Li, Luc Van Gool:
Semi-Supervised Learning by Augmented Distribution Alignment. ICCV 2019: 1466-1475
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Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte:
Self-Guided Network for Fast Image Denoising. ICCV 2019: 2511-2520
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Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte:
Fast Image Restoration With Multi-Bin Trainable Linear Units. ICCV 2019: 4189-4198
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Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. ICCV 2019: 5622-5631
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. ICCV 2019: 6181-6190
[c584]
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Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. ICCV 2019: 6191-6200
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. ICCV 2019: 7373-7382
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Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision. ICCV 2019: 10232-10241
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Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. ICCV Workshops 2019: 905-913
[c580]
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Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241
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Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. ICCV Workshops 2019: 3285-3294
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Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. ICCV Workshops 2019: 3368-3377
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Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. ICCV Workshops 2019: 3617-3635
[c576]
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Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models. ICLR (Poster) 2019
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Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. ICLR (Poster) 2019
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Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-Identification. ICME 2019: 700-705
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Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. ICRA 2019: 5958-5964
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Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. ITSC 2019: 547-552
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Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool:
Learning a Curve Guardian for Motorcycles. ITSC 2019: 2984-2991
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Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. ITSC 2019: 3675-3681
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Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. IV 2019: 494-501
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Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool:
Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty. MVA 2019: 1-6
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Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool:
Uncertainty based model selection for fast semantic segmentation. MVA 2019: 1-6
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Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool:
A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. MVA 2019: 1-6
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Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. CoRR abs/1901.01415 (2019)
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Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. CoRR abs/1901.01535 (2019)
[i161]
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation. CoRR abs/1901.05946 (2019)
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Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. CoRR abs/1902.00293 (2019)
[i159]
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Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. CoRR abs/1902.02394 (2019)
[i158]
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Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool:
Sparse and noisy LiDAR completion with RGB guidance and uncertainty. CoRR abs/1902.05356 (2019)
[i157]
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Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool:
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks. CoRR abs/1903.03496 (2019)
[i156]
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Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Accurate, Comfortable and Human-like Driving. CoRR abs/1903.10995 (2019)
[i155]
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Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer, Alberto Sanfeliu, Luc Van Gool:
Fast video object segmentation with Spatio-Temporal GANs. CoRR abs/1903.12161 (2019)
[i154]
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Simon Vandenhende, Bert De Brabandere, Luc Van Gool:
Branched Multi-Task Networks: Deciding What Layers To Share. CoRR abs/1904.02920 (2019)
[i153]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. CoRR abs/1904.07220 (2019)
[i152]
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Liqian Ma, Qianru Sun, Bernt Schiele, Luc Van Gool:
A Novel BiLevel Paradigm for Image-to-Image Translation. CoRR abs/1904.09028 (2019)
[i151]
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Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. CoRR abs/1904.11407 (2019)
[i150]
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. CoRR abs/1904.11451 (2019)
[i149]
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Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool:
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation. CoRR abs/1905.00737 (2019)
[i148]
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Qin Wang, Wen Li, Luc Van Gool:
Semi-Supervised Learning by Augmented Distribution Alignment. CoRR abs/1905.08171 (2019)
[i147]
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Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution with Deep Learning. CoRR abs/1906.00925 (2019)
[i146]
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Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CoRR abs/1906.11109 (2019)
[i145]
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Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool:
Learning a Curve Guardian for Motorcycles. CoRR abs/1907.05738 (2019)
[i144]
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dual Grid Net: hand mesh vertex regression from single depth maps. CoRR abs/1907.10695 (2019)
[i143]
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Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. CoRR abs/1908.08932 (2019)
[i142]
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Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. CoRR abs/1908.11215 (2019)
[i141]
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Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. CoRR abs/1909.08542 (2019)
[i140]
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens:
Talk2Car: Taking Control of Your Self-Driving Car. CoRR abs/1909.10838 (2019)
[i139]
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Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision. CoRR abs/1909.12034 (2019)
[i138]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. CoRR abs/1910.02029 (2019)
[i137]
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Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. CoRR abs/1910.03997 (2019)
[i136]
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Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. CoRR abs/1910.06663 (2019)
[i135]
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Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool:
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. CoRR abs/1910.10455 (2019)
[i134]
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Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CoRR abs/1912.04250 (2019)
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. CoRR abs/1912.06448 (2019)
[i132]
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Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CoRR abs/1912.07124 (2019)
[i131]
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Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. CoRR abs/1912.11844 (2019)
2018
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Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Unsupervised Deep Single-Image Intrinsic Decomposition using Illumination-Varying Image Sequences. Comput. Graph. Forum 37(7): 409-419 (2018)
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Radu Timofte, Luc Van Gool, Ming-Hsuan Yang, Shai Avidan, Yasuyuki Matsushita, Qingxiong Yang:
Guest Editorial: Vision and Computational Photography and Graphics. Comput. Vis. Image Underst. 168: 1-2 (2018)
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks. Int. J. Comput. Vis. 126(2-4): 144-157 (2018)
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Limin Wang, Zhe Wang, Yu Qiao, Luc Van Gool:
Transferring Deep Object and Scene Representations for Event Recognition in Still Images. Int. J. Comput. Vis. 126(2-4): 390-409 (2018)
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. Int. J. Comput. Vis. 126(9): 973-992 (2018)
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 819-833 (2018)
[j131]
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Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool:
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1114-1127 (2018)
[j130]
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Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018)
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Wen Li, Lin Chen, Dong Xu, Luc Van Gool:
Visual Recognition in RGB Images and Videos by Learning from RGB-D Data. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2030-2036 (2018)
[j128]
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Zhiwu Huang, Ruiping Wang, Shiguang Shan, Luc Van Gool, Xilin Chen:
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2827-2840 (2018)
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Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool:
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery. IEEE Robotics Autom. Lett. 3(1): 612-619 (2018)
[j126]
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Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen:
Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2513-2523 (2018)
[j125]
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Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. IEEE Trans. Multim. 20(3): 513-524 (2018)
[c565]
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Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. AAAI 2018: 3279-3286
[c564]
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Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. AAAI 2018: 6765-6772
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Liqian Ma, Siyu Tang, Michael J. Black, Luc Van Gool:
Customized Multi-person Tracker. ACCV (2) 2018: 612-628
[c562]
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Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. BMVC 2018: 257
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Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108
[c560]
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Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling for Facial Expression Recognition. CVPR Workshops 2018: 367-374
[c559]
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Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CVPR 2018: 616-625
[c558]
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CVPR Workshops 2018: 691-700
[c557]
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Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops 2018: 783-790
[c556]
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Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool:
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2018: 852-863
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Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CVPR Workshops 2018: 998-1006
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets Using Temporal Transition Layer. CVPR Workshops 2018: 1117-1121
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Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning. CVPR 2018: 1189-1198
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Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. CVPR 2018: 1430-1439
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Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops 2018: 2084-2092
[c550]
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Extreme Learned Image Compression with GANs. CVPR Workshops 2018: 2587-2590
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Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CVPR 2018: 3339-3348
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Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. CVPR 2018: 3897-3906
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Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification-Driven Dynamic Image Enhancement. CVPR 2018: 4033-4041
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos With Language and Human Gaze. CVPR 2018: 4129-4138
[c545]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CVPR 2018: 4394-4402
[c544]
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Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. CVPR 2018: 5030-5039
[c543]
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Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059
[c542]
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. CVPR 2018: 5147-5156
[c541]
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Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR 2018: 5879-5888
[c540]
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Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Hayko Riemenschneider, Luc Van Gool, Marc Pollefeys:
Consensus Maximization for Semantic Region Correspondences. CVPR 2018: 7317-7326
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Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada:
Viewpoint-Aware Video Summarization. CVPR 2018: 7435-7444
[c538]
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Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. CVPR 2018: 7892-7901
[c537]
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Alex Locher, Michal Havlena, Luc Van Gool:
Progressive Structure from Motion. ECCV (4) 2018: 22-38
[c536]
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Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity Recognition. ECCV (10) 2018: 104-120
[c535]
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Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. ECCV (4) 2018: 123-140
[c534]
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Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool:
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution. ECCV Workshops (5) 2018: 166-181
[c533]
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Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool:
Fast Perceptual Image Enhancement. ECCV Workshops (5) 2018: 260-275
[c532]
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Danda Pani Paudel, Luc Van Gool:
Sampling Algebraic Varieties for Robust Camera Autocalibration. ECCV (12) 2018: 275-292
[c531]
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Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. ECCV Workshops (5) 2018: 288-314
[c530]
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) 2018: 299-315
[c529]
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Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool:
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. ECCV (2) 2018: 304-321
[c528]
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Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333
[c527]
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Simon Hecker, Dengxin Dai, Luc Van Gool:
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. ECCV (7) 2018: 449-468
[c526]
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Jiqing Wu, Zhiwu Huang, Janine Thoma, Dinesh Acharya, Luc Van Gool:
Wasserstein Divergence for GANs. ECCV (5) 2018: 673-688
[c525]
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Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. ECCV (13) 2018: 707-724
[c524]
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Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length. ECCV (13) 2018: 776-793
[c523]
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Vincent Vanweddingen, Chris Vastenhoud, Marc Proesmans, Hendrik Hameeuw, Bruno Vandermeulen, Athena Van der Perre, Frederic Lemmers, Lieve Watteeuw, Luc Van Gool:
A Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts. EuroMed (2) 2018: 204-211
[c522]
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Longteng Kong, Jie Qin, Di Huang, Yunhong Wang, Luc Van Gool:
Hierarchical Attention and Context Modeling for Group Activity Recognition. ICASSP 2018: 1328-1332
[c521]
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Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) 2018
[c520]
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Shuhang Gu, Radu Timofte, Luc Van Gool:
Integrating Local and Non-local Denoiser Priors for Image Restoration. ICPR 2018: 2923-2928
[c519]
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Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. ITSC 2018: 3819-3824
[c518]
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Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. Intelligent Vehicles Symposium 2018: 286-291
[c517]
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Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1792-1799
[c516]
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  - conf/miccai/VenturaPCMG18
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Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Retinal Topology Extraction. Patch-MI@MICCAI 2018: 133-143
[c515]
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Dries Hulens, Bram Aerts, Punarjay Chakravarty, Ali Diba, Toon Goedemé, Tom Roussel, Jeroen Zegers, Tinne Tuytelaars, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Joost Vennekens:
The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision. MMM (1) 2018: 518-530
[c514]
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Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. WACV 2018: 606-615
[c513]
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Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition. WACV 2018: 1359-1367
[c512]
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Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
An Analysis of Human-Centered Geolocation. WACV 2018: 2058-2066
[i130]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos with Language and Human Gaze. CoRR abs/1801.01582 (2018)
[i129]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018)
[i128]
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Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR abs/1802.05591 (2018)
[i127]
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Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, Jordi Pont-Tuset:
The 2018 DAVIS Challenge on Video Object Segmentation. CoRR abs/1803.00557 (2018)
[i126]
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Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training. CoRR abs/1803.00805 (2018)
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Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CoRR abs/1803.03243 (2018)
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Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression without Decoding. CoRR abs/1803.06131 (2018)
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Alex Locher, Michal Havlena, Luc Van Gool:
Progressive Structure from Motion. CoRR abs/1803.07349 (2018)
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Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Driving Models with a Surround-View Camera System and a Route Planner. CoRR abs/1803.10158 (2018)
[i121]
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Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-identification. CoRR abs/1803.10914 (2018)
[i120]
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Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool:
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. CoRR abs/1804.02201 (2018)
[i119]
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Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada:
Viewpoint-aware Video Summarization. CoRR abs/1804.02843 (2018)
[i118]
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018)
[i117]
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Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning. CoRR abs/1804.03131 (2018)
[i116]
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Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. CoRR abs/1805.01811 (2018)
[i115]
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Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling For Facial Expression Recognition. CoRR abs/1805.04855 (2018)
[i114]
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Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR abs/1805.11145 (2018)
[i113]
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR abs/1806.07754 (2018)
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Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. CoRR abs/1807.01963 (2018)
[i111]
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Shuhang Gu, Radu Timofte, Luc Van Gool:
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. CoRR abs/1807.11389 (2018)
[i110]
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Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. CoRR abs/1808.01265 (2018)
[i109]
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Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length. CoRR abs/1808.04181 (2018)
[i108]
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Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. CoRR abs/1808.09814 (2018)
[i107]
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Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. CoRR abs/1809.09767 (2018)
[i106]
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Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. CoRR abs/1810.01109 (2018)
[i105]
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Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018)
[i104]
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Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs. CoRR abs/1810.02419 (2018)
[i103]
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Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. CoRR abs/1810.02575 (2018)
[i102]
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Xiaogang Cheng, Bin Yang, Anders Hedman, Thomas Olofsson, Haibo Li, Luc Van Gool:
Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency. CoRR abs/1811.08006 (2018)
[i101]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CoRR abs/1811.12817 (2018)
[i100]
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Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
Integrated unpaired appearance-preserving shape translation across domains. CoRR abs/1812.02134 (2018)
[i99]
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Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. CoRR abs/1812.03704 (2018)
[i98]
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Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Thomas Probst, Luc Van Gool:
Image-based Navigation using Visual Features and Map. CoRR abs/1812.03795 (2018)
[i97]
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Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool:
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. CoRR abs/1812.05040 (2018)
[i96]
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Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool:
DLOW: Domain Flow for Adaptation and Generalization. CoRR abs/1812.05418 (2018)
[i95]
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Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool:
Fast Perceptual Image Enhancement. CoRR abs/1812.11852 (2018)
2017
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András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Efficient edge-aware surface mesh reconstruction for urban scenes. Comput. Vis. Image Underst. 157: 3-24 (2017)
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Nikolay Kobyshev, Hayko Riemenschneider, András Bódis-Szomorú, Luc Van Gool:
Efficient architectural structural element decomposition. Comput. Vis. Image Underst. 157: 300-312 (2017)
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Junseok Kwon, Radu Timofte, Luc Van Gool:
Leveraging observation uncertainty for robust visual tracking. Comput. Vis. Image Underst. 158: 62-71 (2017)
[j121]
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Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. Int. J. Comput. Vis. 124(2): 115-131 (2017)
[c511]
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Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool:
Efficient Model-Free Anthropometry from Depth Data. 3DV 2017: 486-495
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Zhiwu Huang, Luc Van Gool:
A Riemannian Network for SPD Matrix Learning. AAAI 2017: 2036-2042
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Fabio Poiesi, Alex Locher, Paul Chippendale, Erica Nocerino, Fabio Remondino, Luc Van Gool:
Cloud-based collaborative 3D reconstruction using smartphones. CVMP 2017: 1:1-1:9
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  - conf/cvpr/BrabandereNG17
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Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation for Autonomous Driving. CVPR Workshops 2017: 478-480
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Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation. CVPR 2017: 1196-1205
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Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-Based Action Recognition. CVPR 2017: 1243-1252
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Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. CVPR 2017: 1541-1550
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  - conf/cvpr/SpecialePOKGP17
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Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Till Kroeger, Luc Van Gool, Marc Pollefeys:
Consensus Maximization with Linear Matrix Inequality Constraints. CVPR 2017: 5048-5056
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Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CVPR 2017: 5131-5139
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Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CVPR 2017: 5320-5329
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Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. CVPR 2017: 5563-5572
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Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. CVPR 2017: 6402-6411
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Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV 2017: 290-299
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Wilfried Hartmann, Silvano Galliani, Michal Havlena, Luc Van Gool, Konrad Schindler:
Learned Multi-patch Similarity. ICCV 2017: 1595-1603
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV 2017: 1652-1661
[c495]
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. ICCV 2017: 3297-3305
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Luc Van Gool, Danda Pani Paudel, Adlane Habed:
Optimal Transformation Estimation with Semantic Cues. ICCV 2017: 4668-4677
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Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
What is Around the Camera? ICCV 2017: 5180-5188
[c492]
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Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. ICCV Workshops 2017: 2651-2657
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Janine Thoma, Michal Havlena, Severin Stalder, Luc Van Gool:
Augmented Reality for User-Friendly Intra-Oral Scanning. ISMAR Adjunct 2017: 97-102
[c490]
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Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. ACM Multimedia 2017: 582-590
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Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool:
Deep visual words: Improved fisher vector for image classification. MVA 2017: 186-189
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Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. NIPS 2017: 406-416
[c487]
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Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS 2017: 1141-1151
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) 2017: 775-791
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Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, András Bódis-Szomorú, Santiago Manén, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool:
VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks 2017: 48:1-48:2
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Louis Lettry, Michal Perdoch, Kenneth Vanhoey, Luc Van Gool:
Repeated Pattern Detection Using CNN Activations. WACV 2017: 47-55
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Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
Material Classification under Natural Illumination Using Reflectance Maps. WACV 2017: 244-253
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Frank Verbiest, Marc Proesmans, Luc Van Gool:
Autonomous Mapping of the Priscilla Catacombs. Mixed Reality and Gamification for Cultural Heritage 2017: 75-98
[i94]
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Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. CoRR abs/1701.00599 (2017)
[i93]
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. CoRR abs/1701.04658 (2017)
[i92]
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation. CoRR abs/1702.03431 (2017)
[i91]
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Joachim de Curtò, Irene Zarza, Feng Yang, Alexander J. Smola, Luc Van Gool:
F2F: A Library For Fast Kernel Expansions. CoRR abs/1702.08159 (2017)
[i90]
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Joachim de Curtò, Irene Zarza, Alexander J. Smola, Luc Van Gool:
HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection. CoRR abs/1702.08160 (2017)
[i89]
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Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. CoRR abs/1703.02437 (2017)
[i88]
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Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. CoRR abs/1703.03329 (2017)
[i87]
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Wilfried Hartmann, Silvano Galliani, Michal Havlena, Konrad Schindler, Luc Van Gool:
Learned multi-patch similarity. CoRR abs/1703.08836 (2017)
[i86]
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Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. CoRR abs/1703.10898 (2017)
[i85]
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Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR abs/1704.00648 (2017)
[i84]
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Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alexander Sorkine-Hornung, Luc Van Gool:
The 2017 DAVIS Challenge on Video Object Segmentation. CoRR abs/1704.00675 (2017)
[i83]
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Jiqing Wu, Radu Timofte, Zhiwu Huang, Luc Van Gool:
On the Relation between Color Image Denoising and Classification. CoRR abs/1704.01372 (2017)
[i82]
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Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Luc Van Gool:
Semantically-Guided Video Object Segmentation. CoRR abs/1704.01926 (2017)
[i81]
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Andrey Ignatov, Nikolay Kobyshev, Kenneth Vanhoey, Radu Timofte, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. CoRR abs/1704.02470 (2017)
[i80]
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Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc Van Gool:
Speech-Based Visual Question Answering. CoRR abs/1705.00464 (2017)
[i79]
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Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. CoRR abs/1705.00581 (2017)
[i78]
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Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks for Action Recognition in Videos. CoRR abs/1705.02953 (2017)
[i77]
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Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool:
WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR abs/1705.05640 (2017)
[i76]
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Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. CoRR abs/1705.09368 (2017)
[i75]
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Jiqing Wu, Zhiwu Huang, Wen Li, Luc Van Gool:
Generative Autotransporters. CoRR abs/1706.02631 (2017)
[i74]
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Kaili Wang, Yu-Hui Huang, Luc Van Gool, José Oramas M., Tinne Tuytelaars:
An Analysis of Human-centered Geolocation. CoRR abs/1707.02905 (2017)
[i73]
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Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
The WILDTRACK Multi-Camera Person Dataset. CoRR abs/1707.09299 (2017)
[i72]
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Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. CoRR abs/1707.09842 (2017)
[i71]
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  - journals/corr/abs-1708-02550
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Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Fast Scene Understanding for Autonomous Driving. CoRR abs/1708.02550 (2017)
[i70]
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Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation with a Discriminative Loss Function. CoRR abs/1708.02551 (2017)
[i69]
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Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool:
WebVision Database: Visual Learning and Understanding from Web Data. CoRR abs/1708.02862 (2017)
[i68]
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. CoRR abs/1708.07819 (2017)
[i67]
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CoRR abs/1709.01118 (2017)
[i66]
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Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool:
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery. CoRR abs/1709.05665 (2017)
[i65]
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Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation Without Temporal Information. CoRR abs/1709.06031 (2017)
[i64]
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Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification Driven Dynamic Image Enhancement. CoRR abs/1710.07558 (2017)
[i63]
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Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR abs/1711.01970 (2017)
[i62]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Visual Scene with Spoken Language. CoRR abs/1711.03800 (2017)
[i61]
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Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates. CoRR abs/1711.06821 (2017)
[i60]
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Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Object Discovery By Generative Adversarial & Ranking Networks. CoRR abs/1711.08174 (2017)
[i59]
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Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. CoRR abs/1711.08200 (2017)
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Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. CoRR abs/1711.08996 (2017)
[i57]
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Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CoRR abs/1711.09001 (2017)
[i56]
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Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CoRR abs/1711.09081 (2017)
[i55]
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Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. CoRR abs/1711.09125 (2017)
[i54]
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Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giró-i-Nieto, Jordi Torres, Luc Van Gool:
Detection-aided liver lesion segmentation using deep learning. CoRR abs/1711.11069 (2017)
[i53]
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Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards an Understanding of Our World by GANing Videos in the Wild. CoRR abs/1711.11453 (2017)
[i52]
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Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. CoRR abs/1711.11556 (2017)
[i51]
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Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool:
Face Translation between Images and Videos using Identity-aware CycleGAN. CoRR abs/1712.00971 (2017)
[i50]
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Jiqing Wu, Zhiwu Huang, Janine Thoma, Luc Van Gool:
Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation. CoRR abs/1712.01026 (2017)
[i49]
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Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Network Topology Extraction. CoRR abs/1712.01217 (2017)
[i48]
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Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-valued Image Generation with Wasserstein Adversarial Networks. CoRR abs/1712.01551 (2017)
[i47]
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Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CoRR abs/1712.02621 (2017)
[i46]
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Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CoRR abs/1712.03812 (2017)
[i45]
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Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR abs/1712.04407 (2017)
[i44]
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Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR abs/1712.06909 (2017)
2016
[j120]
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Radu Timofte, Vincent De Smet, Luc Van Gool:
Semantic super-resolution: When and where is it useful? Comput. Vis. Image Underst. 142: 1-12 (2016)
[j119]
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Junseok Kwon, Ralf Dragon, Luc Van Gool:
Tracking by switching state space models. Comput. Vis. Image Underst. 153: 29-36 (2016)
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Radu Timofte, Junseok Kwon, Luc Van Gool:
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Comput. Vis. Image Underst. 153: 151-162 (2016)
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Markus Mathias, Andelo Martinovic, Luc Van Gool:
ATLAS: A Three-Layered Approach to Facade Parsing. Int. J. Comput. Vis. 118(1): 22-48 (2016)
[j116]
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Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of Random Forests for Large-Scale Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 490-503 (2016)
[j115]
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Junseok Kwon, Ralf Dragon, Luc Van Gool:
Joint Tracking and Ground Plane Estimation. IEEE Signal Process. Lett. 23(11): 1514-1517 (2016)
[j114]
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Xingping Dong, Jianbing Shen, Ling Shao, Luc Van Gool:
Sub-Markov Random Walk for Image Segmentation. IEEE Trans. Image Process. 25(2): 516-527 (2016)
[j113]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors. IEEE Trans. Image Process. 25(8): 3862-3874 (2016)
[j112]
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Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao:
Learning to Predict Sequences of Human Visual Fixations. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1241-1252 (2016)
[c482]
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Alex Locher, Michal Havlena, Luc Van Gool:
Progressive 3D Modeling All the Way. 3DV 2016: 11-18
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Nikolay Kobyshev, Hayko Riemenschneider, András Bódis-Szomorú, Luc Van Gool:
3D Saliency for Finding Landmark Buildings. 3DV 2016: 267-275
[c480]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for Image Restoration. ACCV Workshops (1) 2016: 159-176
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Louis Lettry, Ralf Dragon, Luc Van Gool:
Markov Chain Monte Carlo Cascade for Camera Network Calibration Based on Unconstrained Pedestrian Tracklets. ACCV (2) 2016: 400-415
[c478]
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Yifan Wang, Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Two-Stream SR-CNNs for Action Recognition in Videos. BMVC 2016
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Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool:
Scale-Aware Alignment of Hierarchical Image Segmentation. CVPR 2016: 364-372
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Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus H. Gross, Alexander Sorkine-Hornung:
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation. CVPR 2016: 724-732
[c475]
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Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool:
Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features. CVPR Workshops 2016: 730-738
[c474]
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Anna Volokitin, Radu Timofte, Luc Van Gool:
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes. CVPR Workshops 2016: 1136-1144
[c473]
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Radu Timofte, Rasmus Rothe, Luc Van Gool:
Seven Ways to Improve Example-Based Single Image Super Resolution. CVPR 2016: 1865-1873
[c472]
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Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool:
Fast Algorithms for Linear and Kernel SVM+. CVPR 2016: 2258-2266
[c471]
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Limin Wang, Yu Qiao, Xiaoou Tang, Luc Van Gool:
Actionness Estimation Using Hybrid Fully Convolutional Networks. CVPR 2016: 2708-2717
[c470]
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Alex Locher, Michal Perdoch, Luc Van Gool:
Progressive Prioritized Multi-view Stereo. CVPR 2016: 3244-3252
[c469]
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Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CVPR 2016: 3557-3565
[c468]
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Some Like It Hot - Visual Guidance for Preference Prediction. CVPR 2016: 5553-5561
[c467]
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Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition. ECCV (8) 2016: 20-36
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Thomas Probst, Andrea Fossati, Luc Van Gool:
Combining Human Body Shape and Pose Estimation for Robust Upper Body Tracking Using a Depth Sensor. ECCV Workshops (2) 2016: 285-301
[c465]
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Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow Using Dense Inverse Search. ECCV (4) 2016: 471-488
[c464]
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Chengde Wan, Angela Yao, Luc Van Gool:
Hand Pose Estimation from Local Surface Normals. ECCV (3) 2016: 554-569
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries. ECCV (1) 2016: 580-596
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András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Efficient volumetric fusion of airborne and street-side data for urban reconstruction. ICPR 2016: 3204-3209
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Regressor Basis Learning for anchored super-resolution. ICPR 2016: 3850-3855
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Julien Weissenberg, Hayko Riemenschneider, Ralf Dragon, Luc Van Gool:
Dilemma First Search for effortless optimization of NP-hard problems. ICPR 2016: 4154-4159
[c459]
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Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool:
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition. INTERSPEECH 2016: 2982-2986
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Shurong Sheng, Luc Van Gool, Marie-Francine Moens:
A Dataset for Multimodal Question Answering in the Cultural Heritage Domain. LT4DH@COLING 2016: 10-17
[c457]
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Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness. MediaEval 2016
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Deep Retinal Image Understanding. MICCAI (2) 2016: 140-148
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Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc Van Gool:
Dynamic Filter Networks. NIPS 2016: 667-675
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Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-cost scene modeling using a density function improves segmentation performance. RO-MAN 2016: 77-84
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Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool:
Is image super-resolution helpful for other vision tasks? WACV 2016: 1-9
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Nikolay Kobyshev, Hayko Riemenschneider, András Bódis-Szomorú, Luc Van Gool:
Architectural decomposition for 3D landmark building understanding. WACV 2016: 1-10
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Alex Locher, Michal Perdoch, Hayko Riemenschneider, Luc Van Gool:
Mobile phone and cloud - A dream team for 3D reconstruction. WACV 2016: 1-8
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Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool:
Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure. WACV 2016: 1-9
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Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst:
Energy-efficient ConvNets through approximate computing. WACV 2016: 1-8
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Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski:
Introduction to Large-Scale Visual Geo-localization. Large-Scale Visual Geo-Localization 2016: 1-18
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Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski:
Large-Scale Visual Geo-Localization. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-25779-2 [contents]
[i43]
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Dengxin Dai, Luc Van Gool:
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering. CoRR abs/1602.00955 (2016)
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Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow using Dense Inverse Search. CoRR abs/1603.03590 (2016)
[i41]
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Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst:
Energy-Efficient ConvNets Through Approximate Computing. CoRR abs/1603.06777 (2016)
[i40]
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Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. CoRR abs/1603.08240 (2016)
[i39]
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Chengde Wan, Angela Yao, Luc Van Gool:
Direction matters: hand pose estimation from local surface normals. CoRR abs/1604.02657 (2016)
[i38]
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Naoya Takahashi, Michael Gygli, Beat Pfister, Luc Van Gool:
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection. CoRR abs/1604.07160 (2016)
[i37]
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Limin Wang, Yu Qiao, Xiaoou Tang, Luc Van Gool:
Actionness Estimation Using Hybrid Fully Convolutional Networks. CoRR abs/1604.07279 (2016)
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Vivek Sharma, Luc Van Gool:
Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. CoRR abs/1605.03428 (2016)
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Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance. CoRR abs/1605.08464 (2016)
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k2-means for fast and accurate large scale clustering. CoRR abs/1605.09299 (2016)
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Bert De Brabandere, Xu Jia, Tinne Tuytelaars, Luc Van Gool:
Dynamic Filter Networks. CoRR abs/1605.09673 (2016)
[i32]
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Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. CoRR abs/1606.04702 (2016)
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for image restoration. CoRR abs/1607.07561 (2016)
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Yuanjun Xiong, Limin Wang, Zhe Wang, Bowen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc Van Gool, Xiaoou Tang:
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016. CoRR abs/1608.00797 (2016)
[i29]
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Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition. CoRR abs/1608.00859 (2016)
[i28]
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries. CoRR abs/1608.02755 (2016)
[i27]
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Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CoRR abs/1608.03217 (2016)
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Zhiwu Huang, Ruiping Wang, Shiguang Shan, Luc Van Gool, Xilin Chen:
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video. CoRR abs/1608.04200 (2016)
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Zhiwu Huang, Luc Van Gool:
A Riemannian Network for SPD Matrix Learning. CoRR abs/1608.04233 (2016)
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Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen:
Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition. CoRR abs/1608.04914 (2016)
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Andreas Steger, Radu Timofte, Luc Van Gool:
Failure Detection for Facial Landmark Detectors. CoRR abs/1608.06451 (2016)
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Vivek Sharma, Luc Van Gool:
Does V-NIR based Image Enhancement Come with Better Features? CoRR abs/1608.06521 (2016)
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Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool:
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification. CoRR abs/1608.08851 (2016)
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Limin Wang, Zhe Wang, Yu Qiao, Luc Van Gool:
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images. CoRR abs/1609.00162 (2016)
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Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Deep Retinal Image Understanding. CoRR abs/1609.01103 (2016)
[i18]
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András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Efficient Volumetric Fusion of Airborne and Street-Side Data for Urban Reconstruction. CoRR abs/1609.01345 (2016)
[i17]
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Julien Weissenberg, Hayko Riemenschneider, Ralf Dragon, Luc Van Gool:
Dilemma First Search for Effortless Optimization of NP-Hard Problems. CoRR abs/1609.03545 (2016)
[i16]
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Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CoRR abs/1611.05198 (2016)
[i15]
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Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. CoRR abs/1611.05742 (2016)
[i14]
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Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. CoRR abs/1611.06678 (2016)
[i13]
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Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CoRR abs/1611.08258 (2016)
[i12]
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Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
Natural Illumination from Multiple Materials Using Deep Learning. CoRR abs/1611.09325 (2016)
[i11]
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Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-based Action Recognition. CoRR abs/1612.05877 (2016)
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Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition. CoRR abs/1612.07899 (2016)
2015
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Dengxin Dai, Radu Timofte, Luc Van Gool:
Jointly Optimized Regressors for Image Super-resolution. Comput. Graph. Forum 34(2): 95-104 (2015)
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Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Lars Adde, Øyvind Stavdahl, Luc Van Gool:
Weakly supervised motion segmentation with particle matching. Comput. Vis. Image Underst. 140: 30-42 (2015)
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Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman:
The Pascal Visual Object Classes Challenge: A Retrospective. Int. J. Comput. Vis. 111(1): 98-136 (2015)
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Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
An Elastic Deformation Field Model for Object Detection and Tracking. Int. J. Comput. Vis. 111(2): 137-152 (2015)
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Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool:
SEEDS: Superpixels Extracted Via Energy-Driven Sampling. Int. J. Comput. Vis. 111(3): 298-314 (2015)
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Radu Timofte, Luc Van Gool:
Iterative Nearest Neighbors. Pattern Recognit. 48(1): 60-72 (2015)
[c448]
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Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao:
Saliency Prediction with Active Semantic Segmentation. BMVC 2015: 15.1-15.13
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Hiroto Honda, Radu Timofte, Luc Van Gool:
Make my day - high-fidelity color denoising with Near-Infrared. CVPR Workshops 2015: 82-90
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Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool:
From categories to subcategories: Large-scale image classification with partial class label refinement. CVPR 2015: 231-239
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András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Superpixel meshes for fast edge-preserving surface reconstruction. CVPR 2015: 2011-2020
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Till Kroeger, Dengxin Dai, Luc Van Gool:
Joint vanishing point extraction and tracking. CVPR 2015: 2449-2457
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Michael Gygli, Helmut Grabner, Luc Van Gool:
Video summarization by learning submodular mixtures of objectives. CVPR 2015: 3090-3098
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Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool:
Metric imitation by manifold transfer for efficient vision applications. CVPR 2015: 3527-3536
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Andelo Martinovic, Jan Knopp, Hayko Riemenschneider, Luc Van Gool:
3D all the way: Semantic segmentation of urban scenes from start to end in 3D. CVPR 2015: 4456-4465
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Vittorio Amos Ziparo, Fabio Cottefoglie, Daniele Calisi, Francesca Giannone, Giorgio Grisetti, Bastian Leibe, Marc Proesmans, Paolo Salonia, Luc Van Gool, Claudia Ventura, Cyrill Stachniss:
A new approach to digitalization and data management of cultural heritage sites. DigitalHERITAGE (1) 2015: 143-146
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Jordi Pont-Tuset, Luc Van Gool:
Boosting Object Proposals: From Pascal to COCO. ICCV 2015: 1546-1554
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Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. ICCV 2015: 2578-2586
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Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
A Gaussian Process Latent Variable Model for BRDF Inference. ICCV 2015: 3559-3567
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
DEX: Deep EXpectation of Apparent Age from a Single Image. ICCV Workshops 2015: 252-257
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
DLDR: Deep Linear Discriminative Retrieval for Cultural Event Classification from a Single Image. ICCV Workshops 2015: 295-302
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Efficient regression priors for reducing image compression artifacts. ICIP 2015: 1543-1547
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Efficient regression priors for post-processing demosaiced images. ICIP 2015: 3495-3499
[c432]
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Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Luc Van Gool:
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain. MLIS@ICML 2015: 6-14
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Andreas Nussberger, Helmut Grabner, Luc Van Gool:
Robust aerial object tracking in images with lens flare. ICRA 2015: 6380-6387
[c430]
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Yu-Hui Huang, Xuanli Chen, Serafina Beck, David Burn, Luc Van Gool:
Automatic Handwritten Mensural Notation Interpreter: From Manuscript to MIDI Performance. ISMIR 2015: 79-85
[c429]
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Sai Srivatsa Ravindranath, Michael Gygli, Luc Van Gool:
ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval. MediaEval 2015
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Rasmus Rothe, Marko Ristin, Matthias Dantone, Luc Van Gool:
Discriminative learning of apparel features. MVA 2015: 5-9
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Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool:
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. WACV Workshops 2015: 63-70
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Learned Collaborative Representations for Image Classification. WACV 2015: 456-463
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Radu Timofte, Luc Van Gool:
Sparse Flow: Sparse Matching for Small to Large Displacement Optical Flow. WACV 2015: 1100-1106
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Ioannis Pratikakis, Theoharis Theoharis, Michela Spagnuolo, Luc Van Gool, Remco C. Veltkamp, Afzal Godil:
8th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2015, Zurich, Switzerland, May 2-3, 2015. Eurographics Association 2015, ISBN 978-3-905674-78-1 [contents]
[i9]
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Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Oracle MCG: A first peek into COCO Detection Challenges. CoRR abs/1509.03660 (2015)
[i8]
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Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool:
How Useful Is Image Super-resolution to Other Vision Tasks? CoRR abs/1509.07009 (2015)
[i7]
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Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. CoRR abs/1510.04445 (2015)
[i6]
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Some like it hot - visual guidance for preference prediction. CoRR abs/1510.07867 (2015)
[i5]
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Radu Timofte, Rasmus Rothe, Luc Van Gool:
Seven ways to improve example-based single image super resolution. CoRR abs/1511.02228 (2015)
2014
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Ludovico Carozza, David Tingdahl, Frédéric Bosché, Luc Van Gool:
Markerless Vision-Based Augmented Reality for Urban Planning. Comput. Aided Civ. Infrastructure Eng. 29(1): 2-17 (2014)
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Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Window Parameters. Int. J. Comput. Vis. 106(3): 237-251 (2014)
[j103]
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Alain D. Lehmann, Peter V. Gehler, Luc Van Gool:
Branch&Rank for Efficient Object Detection. Int. J. Comput. Vis. 106(3): 252-268 (2014)
[j102]
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Anastasios D. Doulamis, Nikolaos D. Doulamis, Luc Van Gool, Mark S. Nixon:
Guest editorial: Event-based video analysis/retrieval. Multim. Tools Appl. 69(2): 247-251 (2014)
[j101]
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Fatih Porikli, Luc Van Gool:
Special issue on car navigation and vehicle systems. Mach. Vis. Appl. 25(3): 545-546 (2014)
[j100]
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Radu Timofte, Karel Zimmermann, Luc Van Gool:
Multi-view traffic sign detection, recognition, and 3D localisation. Mach. Vis. Appl. 25(3): 633-647 (2014)
[j99]
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Matthias Dantone, Juergen Gall, Christian Leistner, Luc Van Gool:
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2131-2143 (2014)
[j98]
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Radu Timofte, Luc Van Gool:
Adaptive and Weighted Collaborative Representations for image classification. Pattern Recognit. Lett. 43: 127-135 (2014)
[j97]
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Pradip Mainali, Gauthier Lafruit, Klaas Tack, Luc Van Gool, Rudy Lauwereins:
Derivative-Based Scale Invariant Image Feature Detector With Error Resilience. IEEE Trans. Image Process. 23(5): 2380-2391 (2014)
[c424]
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Alex Locher, Lennart Elsen, Xavier Boix, Luc Van Gool:
Reconstruction of Inextensible Surfaces on a Budget via Bootstrapping. 3DV 2014: 240-247
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Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Tackling Shapes and BRDFs Head-On. 3DV 2014: 267-274
[c422]
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Andelo Martinovic, Luc Van Gool:
Hierarchical Co-Segmentation of Building Facades. 3DV 2014: 409-416
[c421]
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Massimo Mauro, Hayko Riemenschneider, Alberto Signoroni, Riccardo Leonardi, Luc Van Gool:
An Integer Linear Programming Model for View Selection on Overlapping Camera Clusters. 3DV 2014: 464-471
[c420]
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Nikolay Kobyshev, Hayko Riemenschneider, Luc Van Gool:
Matching Features Correctly through Semantic Understanding. 3DV 2014: 472-479
[c419]
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Radu Timofte, Vincent De Smet, Luc Van Gool:
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution. ACCV (4) 2014: 111-126
[c418]
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Rasmus Rothe, Matthieu Guillaumin, Luc Van Gool:
Non-maximum Suppression for Object Detection by Passing Messages Between Windows. ACCV (1) 2014: 290-306
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Alex Mansfield, Nikolay Kobyshev, Hayko Riemenschneider, Will Chang, Luc Van Gool:
Frankenhorse: Automatic Completion of Articulating Objects from Image-based Reconstruction. BMVC 2014
[c416]
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Massimo Mauro, Hayko Riemenschneider, Alberto Signoroni, Riccardo Leonardi, Luc Van Gool:
A unified framework for content-aware view selection and planning through view importance. BMVC 2014
[c415]
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Danfeng Qin, Yuhua Chen, Matthieu Guillaumin, Luc Van Gool:
Learning to Rank Histograms for Object Retrieval. BMVC 2014
[c414]
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András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Fast, Approximate Piecewise-Planar Modeling Based on Sparse Structure-from-Motion and Superpixels. CVPR 2014: 469-476
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Angela Yao, Luc Van Gool, Pushmeet Kohli:
Gesture Recognition Portfolios for Personalization. CVPR 2014: 1923-1930
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Dengxin Dai, Hayko Riemenschneider, Luc Van Gool:
The Synthesizability of Texture Examples. CVPR 2014: 3027-3034
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Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of NCM Forests for Large-Scale Image Classification. CVPR 2014: 3654-3661
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Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool:
Object Classification with Adaptable Regions. CVPR 2014: 3662-3669
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Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision. CVPR 2014: 3694-3701
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Ralf Dragon, Luc Van Gool:
Ground Plane Estimation Using a Hidden Markov Model. CVPR 2014: 4026-4033
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Meng Yang, Dengxin Dai, Lilin Shen, Luc Van Gool:
Latent Dictionary Learning for Sparse Representation Based Classification. CVPR 2014: 4138-4145
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Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc Van Gool, Lars Adde:
Motion Segmentation with Weak Labeling Priors. GCPR 2014: 159-171
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Till Kroeger, Ralf Dragon, Luc Van Gool:
Multi-view Tracking of Multiple Targets with Dynamic Cameras. GCPR 2014: 653-665
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Till Kroeger, Luc Van Gool:
Video Registration to SfM Models. ECCV (5) 2014: 1-16
[c403]
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Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool:
Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. ECCV (5) 2014: 157-172
[c402]
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Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool:
Robust Visual Tracking with Double Bounding Box Model. ECCV (1) 2014: 377-392
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Lukas Bossard, Matthieu Guillaumin, Luc Van Gool:
Food-101 - Mining Discriminative Components with Random Forests. ECCV (6) 2014: 446-461
[c400]
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Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Luc Van Gool:
Creating Summaries from User Videos. ECCV (7) 2014: 505-520
[c399]
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Hayko Riemenschneider, András Bódis-Szomorú, Julien Weissenberg, Luc Van Gool:
Learning Where to Classify in Multi-view Semantic Segmentation. ECCV (5) 2014: 516-532
[c398]
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Markus Mathias, Rodrigo Benenson, Marco Pedersoli, Luc Van Gool:
Face Detection without Bells and Whistles. ECCV (4) 2014: 720-735
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Xingping Dong, Jianbing Shen, Luc Van Gool:
Segmentation Using SubMarkov Random Walk. EMMCVPR 2014: 237-248
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Julien Weissenberg, Michael Gygli, Hayko Riemenschneider, Luc Van Gool:
Navigation using special buildings as signposts. MapInteract@GIS 2014: 8-14
[c395]
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Matteo Munaro, Alberto Basso, Andrea Fossati, Luc Van Gool, Emanuele Menegatti:
3D reconstruction of freely moving persons for re-identification with a depth sensor. ICRA 2014: 4512-4519
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Danfeng Qin, Xuanli Chen, Matthieu Guillaumin, Luc Van Gool:
Quantized Kernel Learning for Feature Matching. NIPS 2014: 172-180
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Xavier Boix, Gemma Roig, Salomon Diether, Luc Van Gool:
Self-Adaptable Templates for Feature Coding. NIPS 2014: 864-872
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Bart Verhagen, Radu Timofte, Luc Van Gool:
Scale-invariant line descriptors for wide baseline matching. WACV 2014: 493-500
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Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, Luc Van Gool:
One-Shot Person Re-identification with a Consumer Depth Camera. Person Re-Identification 2014: 161-181
[i4]
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Xavier Boix, Gemma Roig, Luc Van Gool:
Comment on "Ensemble Projection for Semi-supervised Image Classification". CoRR abs/1408.6963 (2014)
2013
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Przemyslaw Musialski, Peter Wonka, Daniel G. Aliaga, Michael Wimmer, Luc Van Gool, Werner Purgathofer:
A Survey of Urban Reconstruction. Comput. Graph. Forum 32(6): 146-177 (2013)
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Stefano Pellegrini, Luc Van Gool:
Tracking with a mixed continuous-discrete Conditional Random Field. Comput. Vis. Image Underst. 117(10): 1215-1228 (2013)
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Gabriele Fanelli, Matthias Dantone, Juergen Gall, Andrea Fossati, Luc Van Gool:
Random Forests for Real Time 3D Face Analysis. Int. J. Comput. Vis. 101(3): 437-458 (2013)
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Pradip Mainali, Gauthier Lafruit, Qiong Yang, Bert Geelen, Luc Van Gool, Rudy Lauwereins:
SIFER: Scale-Invariant Feature Detector with Error Resilience. Int. J. Comput. Vis. 104(2): 172-197 (2013)
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Alessandro De Luca, Raffaella Mattone, Paolo Robuffo Giordano, Heinz Ulbrich, Martin C. Schwaiger, Michael Van den Bergh, Esther Koller-Meier, Luc Van Gool:
Motion Control of the CyberCarpet Platform. IEEE Trans. Control. Syst. Technol. 21(2): 410-427 (2013)
[c391]
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Jan Knopp, Mukta Prasad, Luc Van Gool:
Automatic Shape Expansion with Verification to Improve 3D Retrieval, Classification and Matching. 3DOR@Eurographics 2013: 1-8
[c390]
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Massimo Mauro, Hayko Riemenschneider, Luc Van Gool, Riccardo Leonardi:
Overlapping camera clustering through dominant sets for scalable 3D reconstruction. BMVC 2013
[c389]
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Filip Schouwenaars, Radu Timofte, Luc Van Gool:
Robust Scene Stitching in Large Scale Mobile Mapping. BMVC 2013
[c388]
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Julien Weissenberg, Hayko Riemenschneider, Mukta Prasad, Luc Van Gool:
Is There a Procedural Logic to Architecture? CVPR 2013: 185-192
[c387]
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Andelo Martinovic, Luc Van Gool:
Bayesian Grammar Learning for Inverse Procedural Modeling. CVPR 2013: 201-208
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Danfeng Qin, Christian Wengert, Luc Van Gool:
Query Adaptive Similarity for Large Scale Object Retrieval. CVPR 2013: 1610-1617
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Matthieu Guillaumin, Luc Van Gool, Vittorio Ferrari:
Fast Energy Minimization Using Learned State Filters. CVPR 2013: 1682-1689
[c384]
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Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool:
Sparse Quantization for Patch Description. CVPR 2013: 2842-2849
[c383]
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Matthias Dantone, Juergen Gall, Christian Leistner, Luc Van Gool:
Human Pose Estimation Using Body Parts Dependent Joint Regressors. CVPR 2013: 3041-3048
[c382]
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Rodrigo Benenson, Markus Mathias, Tinne Tuytelaars, Luc Van Gool:
Seeking the Strongest Rigid Detector. CVPR 2013: 3666-3673
[c381]
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Ralf Dragon, Jörn Ostermann, Luc Van Gool:
Robust Realtime Motion-Split-And-Merge for Motion Segmentation. GCPR 2013: 425-434
[c380]
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Guoqiang Li, Luc Van Gool:
A Comparative Study of Astronomical Clock towers in Europe and China based on their detailed 3D modeling. DH 2013: 509-511
[c379]
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Gabriele Fanelli, Matthias Dantone, Luc Van Gool:
Real time 3D face alignment with Random Forests-based Active Appearance Models. FG 2013: 1-8
[c378]
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Meng Yang, Pengfei Zhu, Luc Van Gool, Lei Zhang:
Face recognition based on regularized nearest points between image sets. FG 2013: 1-7
[c377]
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Michael Van den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool:
Online Video SEEDS for Temporal Window Objectness. ICCV 2013: 377-384
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Meng Yang, Luc Van Gool, Lei Zhang:
Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person. ICCV 2013: 689-696
[c375]
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Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool:
Example-Based Facade Texture Synthesis. ICCV 2013: 1065-1072
[c374]
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Lukas Bossard, Matthieu Guillaumin, Luc Van Gool:
Event Recognition in Photo Collections with a Stopwatch HMM. ICCV 2013: 1193-1200
[c373]
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Markus Mathias, Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Handling Occlusions with Franken-Classifiers. ICCV 2013: 1505-1512
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Michael Gygli, Helmut Grabner, Hayko Riemenschneider, Fabian Nater, Luc Van Gool:
The Interestingness of Images. ICCV 2013: 1633-1640
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Radu Timofte, Vincent De Smet, Luc Van Gool:
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution. ICCV 2013: 1920-1927
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Dengxin Dai, Luc Van Gool:
Ensemble Projection for Semi-supervised Image Classification. ICCV 2013: 2072-2079
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Gemma Roig, Xavier Boix, Roderick de Nijs, Sebastian Ramos, Kolja Kühnlenz, Luc Van Gool:
Active MAP Inference in CRFs for Efficient Semantic Segmentation. ICCV 2013: 2312-2319
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Santiago Manen, Matthieu Guillaumin, Luc Van Gool:
Prime Object Proposals with Randomized Prim's Algorithm. ICCV 2013: 2536-2543
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Markus Mathias, Radu Timofte, Rodrigo Benenson, Luc Van Gool:
Traffic sign recognition - How far are we from the solution? IJCNN 2013: 1-8
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Helmut Grabner, Fabian Nater, Michel Druey, Luc Van Gool:
Visual interestingness in image sequences. ACM Multimedia 2013: 1017-1026
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Vittorio A. Ziparo, Marco Zaratti, Giorgio Grisetti, Taigo Maria Bonanni, Jacopo Serafin, Maurilio Di Cicco, Marc Proesmans, Luc Van Gool, Olga Vysotska, Igor Bogoslavskyi, Cyrill Stachniss:
Exploration and mapping of catacombs with mobile robots. SSRR 2013: 1-2
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Vincent De Smet, Luc Van Gool, Vinay P. Namboodiri:
Nonuniform image patch exemplars for low level vision. WACV 2013: 23-30
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Michael Van den Bergh, Daniel Carton, Luc Van Gool:
Depth SEEDS: Recovering incomplete depth data using superpixels. WACV 2013: 363-368
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Radu Timofte, Luc Van Gool:
Efficient Loopy Belief Propagation Using the Four Color Theorem. Advanced Topics in Computer Vision 2013: 313-339
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Gemma Roig, Xavier Boix, Luc Van Gool:
Random Binary Mappings for Kernel Learning and Efficient SVM. CoRR abs/1307.5161 (2013)
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Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool:
SEEDS: Superpixels Extracted via Energy-Driven Sampling. CoRR abs/1309.3848 (2013)
2012
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Reyes Rios-Cabrera, Tinne Tuytelaars, Luc Van Gool:
Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application. Comput. Vis. Image Underst. 116(6): 742-753 (2012)
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Angela Yao, Juergen Gall, Luc Van Gool:
Coupled Action Recognition and Pose Estimation from Multiple Views. Int. J. Comput. Vis. 100(1): 16-37 (2012)
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Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1886-1901 (2012)
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Andrew Zisserman, John M. Winn, Andrew W. Fitzgibbon, Luc Van Gool, Josef Sivic, Christopher K. I. Williams, David C. Hogg:
In Memoriam: Mark Everingham. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2081-2082 (2012)
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Ke Zhang, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Constant Time Joint Bilateral Filtering Using Joint Integral Histograms. IEEE Trans. Image Process. 21(9): 4309-4314 (2012)
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Andrea Fossati, Helmut Grabner, Luc Van Gool:
Exploiting Physical Inconsistencies for 3D Scene Understanding. 3DIMPVT 2012: 136-143
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Severin Stalder, Helmut Grabner, Luc Van Gool:
Dynamic Objectness for Adaptive Tracking. ACCV (3) 2012: 43-56
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Marko Ristin, Juergen Gall, Luc Van Gool:
Local Context Priors for Object Proposal Generation. ACCV (1) 2012: 57-70
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Lukas Bossard, Matthias Dantone, Christian Leistner, Christian Wengert, Till Quack, Luc Van Gool:
Apparel Classification with Style. ACCV (4) 2012: 321-335
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Radu Timofte, Luc Van Gool:
Automatic Stave Discovery for Musical Facsimiles. ACCV (4) 2012: 510-523
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Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Naive Bayes Image Classification: Beyond Nearest Neighbors. ACCV (1) 2012: 689-703
[c356]
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Adolfo López-Mendez, Juergen Gall, Josep R. Casas, Luc Van Gool:
Metric Learning from Poses for Temporal Clustering of Human Motion. BMVC 2012: 1-12
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Nima Razavi, Nima Sedaghat Alvar, Juergen Gall, Luc Van Gool:
Sparsity Potentials for Detecting Objects with the Hough Transform. BMVC 2012: 1-10
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Radu Timofte, Luc Van Gool:
A Training-free Classification Framework for Textures, Writers, and Materials. BMVC 2012: 1-12
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Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios:
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR 2012: 518-525
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Radu Timofte, Luc Van Gool:
Iterative Nearest Neighbors for classification and dimensionality reduction. CVPR 2012: 2456-2463
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Matthias Dantone, Juergen Gall, Gabriele Fanelli, Luc Van Gool:
Real-time facial feature detection using conditional regression forests. CVPR 2012: 2578-2585
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Rodrigo Benenson, Markus Mathias, Radu Timofte, Luc Van Gool:
Pedestrian detection at 100 frames per second. CVPR 2012: 2903-2910
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Angela Yao, Juergen Gall, Christian Leistner, Luc Van Gool:
Interactive object detection. CVPR 2012: 3242-3249
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Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Classification with Global, Local and Shared Features. DAGM/OAGM Symposium 2012: 134-143
[c347]
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Rodrigo Benenson, Markus Mathias, Radu Timofte, Luc Van Gool:
Fast Stixel Computation for Fast Pedestrian Detection. ECCV Workshops (3) 2012: 11-20
[c346]
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Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool:
SEEDS: Superpixels Extracted via Energy-Driven Sampling. ECCV (7) 2012: 13-26
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Stefano Pellegrini, Jürgen Gall, Leonid Sigal, Luc Van Gool:
Destination Flow for Crowd Simulation. ECCV Workshops (3) 2012: 162-171
[c344]
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Nima Razavi, Juergen Gall, Pushmeet Kohli, Luc Van Gool:
Latent Hough Transform for Object Detection. ECCV (3) 2012: 312-325
[c343]
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David Tingdahl, Christoph Godau, Luc Van Gool:
Base Materials for Photometric Stereo. ECCV Workshops (2) 2012: 350-359
[c342]
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Andelo Martinovic, Markus Mathias, Julien Weissenberg, Luc Van Gool:
A Three-Layered Approach to Facade Parsing. ECCV (7) 2012: 416-429
[c341]
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Dengxin Dai, Mukta Prasad, Christian Leistner, Luc Van Gool:
Ensemble Partitioning for Unsupervised Image Categorization. ECCV (3) 2012: 483-496
[c340]
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Bertan Günyel, Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Stixels Motion Estimation without Optical Flow Computation. ECCV (6) 2012: 528-539
[c339]
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Luca Ballan, Aparna Taneja, Jürgen Gall, Luc Van Gool, Marc Pollefeys:
Motion Capture of Hands in Action Using Discriminative Salient Points. ECCV (6) 2012: 640-653
[c338]
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Markus Moll, Luc Van Gool:
Optimal Templates for Nonrigid Surface Reconstruction. ECCV (1) 2012: 696-709
[c337]
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Dengxin Dai, Mukta Prasad, Gerhard Schmitt, Luc Van Gool:
Learning Domain Knowledge for Façade Labelling. ECCV (1) 2012: 710-723
[c336]
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Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool:
Nested Sparse Quantization for Efficient Feature Coding. ECCV (2) 2012: 744-758
[c335]
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Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman:
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. ECCV (1) 2012: 794-807
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Ke Zhang, Guanyu Yi, C.-K. Liao, Christine Lin, Hsiu-Chi Yeh, Rudy Lauwereins, Luc Van Gool, Gauthier Lafruit:
Towards a real-time high-definition depth sensor with hardware-efficient stereo matching. SD&A 2012: 82882K
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Przemyslaw Musialski, Peter Wonka, Daniel G. Aliaga, Michael Wimmer, Luc Van Gool, Werner Purgathofer:
A Survey of Urban Reconstruction. Eurographics (State of the Art Reports) 2012: 1-28
[c332]
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Radu Timofte, Luc Van Gool:
Weighted collaborative representation and classification of images. ICPR 2012: 1606-1610
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Roderick de Nijs, Sebastian Ramos, Gemma Roig, Xavier Boix, Luc Van Gool, Kolja Kühnlenz:
On-line semantic perception using uncertainty. IROS 2012: 4185-4191
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Gabriele Fanelli, Juergen Gall, Luc Van Gool:
Real time 3D head pose estimation: Recent achievements and future challenges. ISCCSP 2012: 1-4
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Michael Van den Bergh, Luc Van Gool:
Real-time stereo and flow-based video segmentation with superpixels. WACV 2012: 89-96
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Vasilis Lasdas, Radu Timofte, Luc Van Gool:
Non-parametric motion-priors for flow understanding. WACV 2012: 417-424
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Jan Hendrik Becker, Tinne Tuytelaars, Luc Van Gool:
Codebook-free exemplar models for object detection. WIAMIS 2012: 1-4
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Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall:
DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues 2012: 3-35
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Fabian Nater, Joris Vangeneugden, Helmut Grabner, Luc Van Gool, Rufin Vogels:
Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms. Detection and Identification of Rare Audiovisual Cues 2012: 181-190
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Daphna Weinshall, Jörn Anemüller, Luc Van Gool:
Detection and Identification of Rare Audiovisual Cues. Studies in Computational Intelligence 384, Springer 2012, ISBN 978-3-642-24033-1 [contents]
2011
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Thibaut Weise, Thomas Wismer, Bastian Leibe, Luc Van Gool:
Online loop closure for real-time interactive 3D scanning. Comput. Vis. Image Underst. 115(5): 635-648 (2011)
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Alain D. Lehmann, Bastian Leibe, Luc Van Gool:
Fast PRISM: Branch and Bound Hough Transform for Object Class Detection. Int. J. Comput. Vis. 94(2): 175-197 (2011)
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Athanasios Voulodimos, Dimitrios I. Kosmopoulos, Galina V. Veres, Helmut Grabner, Luc Van Gool, Theodora A. Varvarigou:
Online classification of visual tasks for industrial workflow monitoring. Neural Networks 24(8): 852-860 (2011)
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Michael D. Breitenstein, Fabian Reichlin, Bastian Leibe, Esther Koller-Meier, Luc Van Gool:
Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1820-1833 (2011)
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Juergen Gall, Angela Yao, Nima Razavi, Luc Van Gool, Victor S. Lempitsky:
Hough Forests for Object Detection, Tracking, and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2188-2202 (2011)
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Pradip Mainali, Qiong Yang, Gauthier Lafruit, Luc Van Gool, Rudy Lauwereins:
Robust Low Complexity Corner Detector. IEEE Trans. Circuits Syst. Video Technol. 21(4): 435-445 (2011)
[j80]
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Ke Zhang, Jiangbo Lu, Qiong Yang, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Real-Time and Accurate Stereo: A Scalable Approach With Bitwise Fast Voting on CUDA. IEEE Trans. Circuits Syst. Video Technol. 21(7): 867-878 (2011)
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Jan Knopp, Mukta Prasad, Luc Van Gool:
Scene Cut: Class-Specific Object Detection and Segmentation in 3D Scenes. 3DIMPVT 2011: 180-187
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Markus Mathias, Andelo Martinovic, Julien Weissenberg, Luc Van Gool:
Procedural 3D Building Reconstruction Using Shape Grammars and Detectors. 3DIMPVT 2011: 304-311
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Chris Engels, David Tingdahl, Mathias Vercruysse, Tinne Tuytelaars, Hichem Sahli, Luc Van Gool:
Automatic Occlusion Removal from Facades for 3D Urban Reconstruction. ACIVS 2011: 681-692
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Roland Mörzinger, Marcus Thaler, Severin Stalder, Helmut Grabner, Luc Van Gool:
Improved person detection in industrial environments using multiple self-calibrated cameras. AVSS 2011: 486-491
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Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Variables. BMVC 2011: 1-11
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Alain D. Lehmann, Peter V. Gehler, Luc Van Gool:
Branch&Rank: Non-Linear Object Detection. BMVC 2011: 1-11
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Alex Mansfield, Mukta Prasad, Carsten Rother, Toby Sharp, Pushmeet Kohli, Luc Van Gool:
Transforming Image Completion. BMVC 2011: 1-11
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Fabian Nater, Helmut Grabner, Luc Van Gool:
Temporal Relations in Videos for Unsupervised Activity Analysis. BMVC 2011: 1-11
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Mukta Prasad, Jan Knopp, Luc Van Gool:
Class-specific 3D localization using constellations of object parts. BMVC 2011: 1-11
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Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool:
On-line Hough Forests. BMVC 2011: 1-11
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Radu Timofte, Luc Van Gool:
Sparse Representation Based Projections. BMVC 2011: 1-12
[c315]
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Michael Villamizar, Helmut Grabner, Francesc Moreno-Noguer, Juan Andrade-Cetto, Luc Van Gool, Alberto Sanfeliu:
Efficient 3D Object Detection using Multiple Pose-Specific Classifiers. BMVC 2011: 1-10
[c314]
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Angela Yao, Juergen Gall, Gabriele Fanelli, Luc Van Gool:
Does Human Action Recognition Benefit from Pose Estimation?. BMVC 2011: 1-11
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Markus Moll, Luc Van Gool:
Separating rigid motion from linear local deformation models. CVPR Workshops 2011: 37-44
[c312]
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Reyes Rios-Cabrera, Tinne Tuytelaars, Luc Van Gool:
Efficient multi-camera detection, tracking, and identification using a shared set of haar-features. CVPR 2011: 65-71
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Gabriele Fanelli, Juergen Gall, Luc Van Gool:
Real time head pose estimation with random regression forests. CVPR 2011: 617-624
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Danfeng Qin, Stephan Gammeter, Lukas Bossard, Till Quack, Luc Van Gool:
Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. CVPR 2011: 777-784
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Nima Razavi, Juergen Gall, Luc Van Gool:
Scalable multi-class object detection. CVPR 2011: 1505-1512
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Helmut Grabner, Juergen Gall, Luc Van Gool:
What makes a chair a chair? CVPR 2011: 1529-1536
[c307]
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Juergen Gall, Andrea Fossati, Luc Van Gool:
Functional categorization of objects using real-time markerless motion capture. CVPR 2011: 1969-1976
[c306]
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Gabriele Fanelli, Thibaut Weise, Juergen Gall, Luc Van Gool:
Real Time Head Pose Estimation from Consumer Depth Cameras. DAGM-Symposium 2011: 101-110
[c305]
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Henning Hamer, Juergen Gall, Raquel Urtasun, Luc Van Gool:
Data-driven animation of hand-object interactions. FG 2011: 360-367
[c304]
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David Tingdahl, David De Weerdt, Maarten Vergauwen, Luc Van Gool:
WEAR++: 3D model driven camera tracking on board the International Space Station. IC3D 2011: 1-8
[c303]
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Matthias Dantone, Lukas Bossard, Till Quack, Luc Van Gool:
Augmented faces. ICCV Workshops 2011: 24-31
[c302]
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Radu Timofte, Luc Van Gool:
Multi-view manhole detection, recognition, and 3D localisation. ICCV Workshops 2011: 188-195
[c301]
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Dominique Uebersax, Juergen Gall, Michael Van den Bergh, Luc Van Gool:
Real-time sign language letter and word recognition from depth data. ICCV Workshops 2011: 383-390
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Fabian Nater, Tatiana Tommasi, Helmut Grabner, Luc Van Gool, Barbara Caputo:
Transferring activities: Updating human behavior analysis. ICCV Workshops 2011: 1737-1744
[c299]
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Fabian Nater, Helmut Grabner, Luc Van Gool:
Unsupervised workflow discovery in industrial environments. ICCV Workshops 2011: 1912-1919
[c298]
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Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Stixels estimation without depth map computation. ICCV Workshops 2011: 2010-2017
[c297]
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David Tingdahl, Luc Van Gool:
A Public System for Image Based 3D Model Generation. MIRAGE 2011: 262-273
[c296]
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Angela Yao, Juergen Gall, Luc Van Gool, Raquel Urtasun:
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities. NIPS 2011: 1359-1367
[c295]
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Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
A cross-based filter for fast edge-preserving smoothing. Real-Time Image and Video Processing 2011: 78710H
[c294]
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Michael Van den Bergh, Daniel Carton, Roderick de Nijs, Nikos Mitsou, Christian Landsiedel, Kolja Kühnlenz, Dirk Wollherr, Luc Van Gool, Martin Buss:
Real-time 3D hand gesture interaction with a robot for understanding directions from humans. RO-MAN 2011: 357-362
[c293]
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Juergen Gall, Nima Razavi, Luc Van Gool:
An Introduction to Random Forests for Multi-class Object Detection. Theoretical Foundations of Computer Vision 2011: 243-263
[c292]
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Enrico Gobbetti, Fabio Marton, Marco Di Benedetto, Fabio Ganovelli, Matthias Bühler, Simon Schubiger, Matthias Specht, Chris Engels, Luc Van Gool:
Reconstructing and Exploring Massive Detailed Cityscapes. VAST 2011: 1-8
[c291]
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Jesse Himmelstein, Olivier Balet, Fabio Ganovelli, Enrico Gobbetti, Matthias Specht, Pascal Müller, Chris Engels, Luc Van Gool, Jean-Baptiste de la Rivière, Armando Cavazzini:
The V-City Project. VAST (Short and Project Papers) 2011
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Vinay P. Namboodiri, Vincent De Smet, Luc Van Gool:
Systematic evaluation of super-resolution using classification. VCIP 2011: 1-4
[c289]
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Michael Van den Bergh, Luc Van Gool:
Combining RGB and ToF cameras for real-time 3D hand gesture interaction. WACV 2011: 66-72
[c288]
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Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Action recognition: A region based approach. WACV 2011: 294-300
[p5]
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Stefano Pellegrini, Andreas Ess, Luc Van Gool:
Predicting Pedestrian Trajectories. Visual Analysis of Humans 2011: 473-491
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Dimitris N. Metaxas, Long Quan, Alberto Sanfeliu, Luc Van Gool:
IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-1101-5 [contents]
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Franco Niccolucci, Matteo Dellepiane, Sebastián Peña Serna, Holly E. Rushmeier, Luc Van Gool:
12th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, incorporating the 9th Eurographics Workshop on Graphics and Cultural Heritage, VAST 2011, Prato, Italy, October 18-21, 2011. Eurographics Association 2011, ISBN 978-3-905674-34-7 [contents]
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Franco Niccolucci, Matteo Dellepiane, Sebastián Peña Serna, Holly E. Rushmeier, Luc Van Gool:
12th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, incorporating the 9th Eurographics Workshop on Graphics and Cultural Heritage, VAST - Short and Project Papers, Prato, Italy, October 18-21, 2011. Eurographics Association 2011, ISBN 978-3-905673-86-9 [contents]
2010
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Simon Haegler, Peter Wonka, Stefan Müller Arisona, Luc Van Gool, Pascal Müller:
Grammar-based Encoding of Facades. Comput. Graph. Forum 29(4): 1479-1487 (2010)
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Yanxi Liu, Hagit Hel-Or, Craig S. Kaplan, Luc Van Gool:
Computational Symmetry in Computer Vision and Computer Graphics. Found. Trends Comput. Graph. Vis. 5(1-2): 1-195 (2010)
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Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman:
The Pascal Visual Object Classes (VOC) Challenge. Int. J. Comput. Vis. 88(2): 303-338 (2010)
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Andreas Ess, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments. Int. J. Robotics Res. 29(14): 1707-1725 (2010)
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Anastasios D. Doulamis, Luc Van Gool, Mark S. Nixon, Nikolaos D. Doulamis, Theodora A. Varvarigou:
Analysis and retrieval of events/actions and workflows in video streams. Multim. Tools Appl. 50(1): 1-6 (2010)
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Daniel Roth, Esther Koller-Meier, Luc Van Gool:
Multi-object tracking evaluated on sparse events. Multim. Tools Appl. 50(1): 29-47 (2010)
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Kemal Egemen Ozden, Konrad Schindler, Luc Van Gool:
Multibody Structure-from-Motion in Practice. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1134-1141 (2010)
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Gabriele Fanelli, Jürgen Gall, Harald Romsdorfer, Thibaut Weise, Luc Van Gool:
A 3-D Audio-Visual Corpus of Affective Communication. IEEE Trans. Multim. 12(6): 591-598 (2010)
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Constantinos Lalos, Helmut Grabner, Luc Van Gool, Theodora A. Varvarigou:
Object Flow: Learning Object Displacement. ACCV Workshops (1) 2010: 133-142
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Galina V. Veres, Helmut Grabner, Lee Middleton, Luc Van Gool:
Automatic Workflow Monitoring in Industrial Environments. ACCV (1) 2010: 200-213
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Michaël De Smet, Luc Van Gool:
Optimal Regions for Linear Model-Based 3D Face Reconstruction. ACCV (3) 2010: 276-289
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Radu Timofte, Luc Van Gool:
Four Color Theorem for Fast Early Vision. ACCV (1) 2010: 411-424
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Chris Engels, Koen Deschacht, Jan Hendrik Becker, Tinne Tuytelaars, Sien Moens, Luc Van Gool:
Automatic annotation of unique locations from video and text. BMVC 2010: 1-11
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Juergen Gall, Nima Razavi, Luc Van Gool:
On-line Adaption of Class-specific Codebooks for Instance Tracking. BMVC 2010: 1-12
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Stephan Gammeter, Alexander Gassmann, Lukas Bossard, Till Quack, Luc Van Gool:
Server-side object recognition and client-side object tracking for mobile augmented reality. CVPR Workshops 2010: 1-8
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Stefano Pellegrini, Andreas Ess, Marko Tanaskovic, Luc Van Gool:
Wrong turn - No dead end: A stochastic pedestrian motion model. CVPR Workshops 2010: 15-22
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Henning Hamer, Jürgen Gall, Thibaut Weise, Luc Van Gool:
An object-dependent hand pose prior from sparse training data. CVPR 2010: 671-678
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Helmut Grabner, Jiri Matas, Luc Van Gool, Philippe C. Cattin:
Tracking the invisible: Learning where the object might be. CVPR 2010: 1285-1292
[c277]
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Mukta Prasad, Andrew W. Fitzgibbon, Andrew Zisserman, Luc Van Gool:
Finding nemo: Deformable object class modelling using curve matching. CVPR 2010: 1720-1727
[c276]
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Daniel Küttel, Michael D. Breitenstein, Luc Van Gool, Vittorio Ferrari:
What's going on? Discovering spatio-temporal dependencies in dynamic scenes. CVPR 2010: 1951-1958
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Fabian Nater, Helmut Grabner, Luc Van Gool:
Exploiting simple hierarchies for unsupervised human behavior analysis. CVPR 2010: 2014-2021
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Angela Yao, Jürgen Gall, Luc Van Gool:
A Hough transform-based voting framework for action recognition. CVPR 2010: 2061-2068
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Angela Yao, Dominique Uebersax, Juergen Gall, Luc Van Gool:
Tracking People in Broadcast Sports. DAGM-Symposium 2010: 151-161
[c272]
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Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother:
Visibility Maps for Improving Seam Carving. ECCV Workshops (1) 2010: 131-144
[c271]
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Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother:
Scene Carving: Scene Consistent Image Retargeting. ECCV (1) 2010: 143-156
[c270]
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Gabriele Fanelli, Angela Yao, Pierre-Luc Noel, Juergen Gall, Luc Van Gool:
Hough Forest-Based Facial Expression Recognition from Video Sequences. ECCV Workshops (1) 2010: 195-206
[c269]
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Severin Stalder, Helmut Grabner, Luc Van Gool:
Cascaded Confidence Filtering for Improved Tracking-by-Detection. ECCV (1) 2010: 369-382
[c268]
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Juergen Gall, Angela Yao, Luc Van Gool:
2D Action Recognition Serves 3D Human Pose Estimation. ECCV (3) 2010: 425-438
[c267]
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Stefano Pellegrini, Andreas Ess, Luc Van Gool:
Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings. ECCV (1) 2010: 452-465
[c266]
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Jan Knopp, Mukta Prasad, Geert Willems, Radu Timofte, Luc Van Gool:
Hough Transform and 3D SURF for Robust Three Dimensional Classification. ECCV (6) 2010: 589-602
[c265]
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Nima Razavi, Juergen Gall, Luc Van Gool:
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections. ECCV (1) 2010: 620-633
[c264]
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Stephan Gammeter, Till Quack, David Tingdahl, Luc Van Gool:
Size Does Matter: Improving Object Recognition and 3D Reconstruction with Cross-Media Analysis of Image Clusters. ECCV (1) 2010: 734-747
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Athanasios Voulodimos, Helmut Grabner, Dimitrios I. Kosmopoulos, Luc Van Gool, Theodora A. Varvarigou:
Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models. ICANN (1) 2010: 551-560
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Pradip Mainali, Qiong Yang, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Lococo: low complexity corner detector. ICASSP 2010: 810-813
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Ke Zhang, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Joint integral histograms and its application in stereo matching. ICIP 2010: 817-820
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Pradip Mainali, Qiong Yang, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Robust low complexity feature tracking. ICIP 2010: 829-832
[c259]
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Daniel Waltisberg, Angela Yao, Juergen Gall, Luc Van Gool:
Variations of a Hough-Voting Action Recognition System. ICPR Contests 2010: 306-312
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Victor Adrian Prisacariu, Radu Timofte, Karel Zimmermann, Ian D. Reid, Luc Van Gool:
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System. ICPR 2010: 3344-3347
[c257]
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Markus Moll, Hsiao-Wei Tang, Luc Van Gool:
GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction. IPCAI 2010: 91-101
[c256]
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Jan Knopp, Mukta Prasad, Luc Van Gool:
Orientation invariant 3D object classification using hough transform based methods. 3DOR@MM 2010: 15-20
[c255]
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Roland Mörzinger, Manolis Sardis, Igor Rosenberg, Helmut Grabner, Galina V. Veres, Imed Bouchrika, Marcus Thaler, René Schuster, Albert Hofmann, Georg Thallinger, Vasileios Anagnostopoulos, Dimitrios I. Kosmopoulos, Athanasios Voulodimos, Constantinos Lalos, Nikolaos D. Doulamis, Theodora A. Varvarigou, Rolando Palma Zelada, Ignacio Jubert Soler, Severin Stalder, Luc Van Gool, Lee Middleton, Zoheir A. Sabeur, Banafshe Arbab-Zavar, John N. Carter, Mark S. Nixon:
Tools for semi-automatic monitoring of industrial workflows. ARTEMIS@ACM Multimedia 2010: 81-86
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René Schuster, Roland Mörzinger, Werner Haas, Helmut Grabner, Luc Van Gool:
Real-time detection of unusual regions in image streams. ACM Multimedia 2010: 1307-1310
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Konrad Schindler, Luc Van Gool:
Fast Categorisation of Articulated Human Motion. Machine Learning for Human Motion Analysis 2010: 170-186
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Anastasios D. Doulamis, Jordi Gonzàlez, Marco Bertini, Luc Van Gool, Nikolaos F. Matsatsinis, Thomas B. Moeslund, Mark S. Nixon, Liang Wang:
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams, ARTEMIS@ACM Multimedia 2010, Firenze, Italy, October 29, 2010. ACM 2010, ISBN 978-1-4503-0163-3 [contents]

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
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Silvio Savarese, Tinne Tuytelaars, Luc Van Gool:
Special issue on 3D representation for object and scene recognition. Comput. Vis. Image Underst. 113(12): 1181-1182 (2009)
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Shape-from-recognition: Recognition enables meta-data transfer. Comput. Vis. Image Underst. 113(12): 1222-1234 (2009)
[j69]
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Vincent Charvillat, Anna Tonazzini, Luc Van Gool, Nikos Nikolaidis:
Image and Video Processing for Cultural Heritage. EURASIP J. Image Video Process. 2009 (2009)
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Simon Haegler, Pascal Müller, Luc Van Gool:
Procedural Modeling for Digital Cultural Heritage. EURASIP J. Image Video Process. 2009 (2009)
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Theo Moons, Luc Van Gool, Maarten Vergauwen:
3D Reconstruction from Multiple Images: Part 1 - Principles. Found. Trends Comput. Graph. Vis. 4(4): 287-404 (2009)
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Michael Van den Bergh, Esther Koller-Meier, Luc Van Gool:
Real-Time Body Pose Recognition Using 2D or 3D Haarlets. Int. J. Comput. Vis. 83(1): 72-84 (2009)
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Tobias Jaeggli, Esther Koller-Meier, Luc Van Gool:
Learning Generative Models for Multi-Activity Body Pose Estimation. Int. J. Comput. Vis. 83(2): 121-134 (2009)
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Using Multi-view Recognition and Meta-data Annotation to Guide a Robot's Attention. Int. J. Robotics Res. 28(8): 976-998 (2009)
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Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
Robust Multiperson Tracking from a Mobile Platform. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1831-1846 (2009)
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Andreas Ess, Tobias Mueller, Helmut Grabner, Luc Van Gool:
Segmentation-Based Urban Traffic Scene Understanding. BMVC 2009: 1-11
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Gabriele Fanelli, Jürgen Gall, Luc Van Gool:
Hough Transform-based Mouth Localization for Audio-visual Speech Recognition. BMVC 2009: 1-11
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Alain D. Lehmann, Bastian Leibe, Luc Van Gool:
PRISM: PRincipled Implicit Shape Model. BMVC 2009: 1-11
[c250]
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Geert Willems, Jan Hendrik Becker, Tinne Tuytelaars, Luc Van Gool:
Exemplar-based Action Recognition in Video. BMVC 2009: 1-11
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Luc Van Gool, Michael D. Breitenstein, Stephan Gammeter, Helmut Grabner, Till Quack:
Mining from large image sets. CIVR 2009
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Michal Havlena, Andreas Ess, Wim Moreau, Akihiko Torii, Michal Jancosek, Tomás Pajdla, Luc Van Gool:
AWEAR 2.0 system: Omni-directional audio-visual data acquisition and processing. CVPR Workshops 2009: 49-56
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Stefano Pellegrini, Andreas Ess, Konrad Schindler, Luc Van Gool:
You'll never walk alone: Modeling social behavior for multi-target tracking. ICCV 2009: 261-268
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Stephan Gammeter, Lukas Bossard, Till Quack, Luc Van Gool:
I know what you did last summer: object-level auto-annotation of holiday snaps. ICCV 2009: 614-621
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Alain D. Lehmann, Bastian Leibe, Luc Van Gool:
Feature-centric Efficient Subwindow Search. ICCV 2009: 940-947
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Jianke Zhu, Luc Van Gool, Steven C. H. Hoi:
Unsupervised face alignment by robust nonrigid mapping. ICCV 2009: 1265-1272
[c243]
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Henning Hamer, Konrad Schindler, Esther Koller-Meier, Luc Van Gool:
Tracking a hand manipulating an object. ICCV 2009: 1475-1482
[c242]
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Michael D. Breitenstein, Fabian Reichlin, Bastian Leibe, Esther Koller-Meier, Luc Van Gool:
Robust tracking-by-detection using a detector confidence particle filter. ICCV 2009: 1515-1522
[c241]
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Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Real-time accurate stereo with bitwise fast voting on CUDA. ICCV Workshops 2009: 794-800
[c240]
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Fabian Nater, Helmut Grabner, Tobias Jaeggli, Luc Van Gool:
Tracker trees for unusual event detection. ICCV Workshops 2009: 1113-1120
[c239]
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Michael D. Breitenstein, Helmut Grabner, Luc Van Gool:
Hunting Nessie - Real-time abnormality detection from webcams. ICCV Workshops 2009: 1243-1250
[c238]
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Severin Stalder, Helmut Grabner, Luc Van Gool:
Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition. ICCV Workshops 2009: 1409-1416
[c237]
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Ryusuke Sagawa, Kiyotaka Akasaka, Yasushi Yagi, Henning Hamer, Luc Van Gool:
Elastic convolved ICP for the registration of deformable objects. ICCV Workshops 2009: 1558-1565
[c236]
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Thibaut Weise, Thomas Wismer, Bastian Leibe, Luc Van Gool:
In-hand scanning with online loop closure. ICCV Workshops 2009: 1630-1637
[c235]
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Nicola Bellotto, Eric Sommerlade, Ben Benfold, Charles Bibby, Ian D. Reid, Daniel Roth, Carles Fernández Tena, Luc Van Gool, Jordi Gonzàlez:
A distributed camera system for multi-resolution surveillance. ICDSC 2009: 1-8
[c234]
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Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Robust stereo matching with fast Normalized Cross-Correlation over shape-adaptive regions. ICIP 2009: 2357-2360
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Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool:
Accurate and efficient stereo matching with robust piecewise voting. ICME 2009: 93-96
[c232]
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Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
Moving obstacle detection in highly dynamic scenes. ICRA 2009: 56-63
[c231]
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Thibaut Weise, Hao Li, Luc Van Gool, Mark Pauly:
Face/Off: live facial puppetry. Symposium on Computer Animation 2009: 7-16
[c230]
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Michael D. Breitenstein, Jeppe Jensen, Carsten Høilund, Thomas B. Moeslund, Luc Van Gool:
Head Pose Estimation from Passive Stereo Images. SCIA 2009: 219-228
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Michael Van den Bergh, Esther Koller-Meier, Frédéric Bosché, Luc Van Gool:
Haarlet-based hand gesture recognition for 3D interaction. WACV 2009: 1-8
[c228]
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Mohammed Shaheen, Jürgen Gall, Robert Strzodka, Luc Van Gool, Hans-Peter Seidel:
A comparison of 3d model-based tracking approaches for human motion capture in uncontrolled environments. WACV 2009: 1-8
[c227]
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Radu Timofte, Karel Zimmermann, Luc Van Gool:
Multi-view traffic sign detection, recognition, and 3D localisation. WACV 2009: 1-8
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Michael Van den Bergh, Esther Koller-Meier, Roland Kehl, Luc Van Gool:
Real-Time 3D Body Pose Estimation. Multi-Camera Networks 2009: 335-361
2008
[j62]
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Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool:
Speeded-Up Robust Features (SURF). Comput. Vis. Image Underst. 110(3): 346-359 (2008)
[j61]
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Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc Van Gool:
3D Urban Scene Modeling Integrating Recognition and Reconstruction. Int. J. Comput. Vis. 78(2-3): 121-141 (2008)
[j60]
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Torsten Spindler, Christoph Wartmann, Ludger Hovestadt, Daniel Roth, Luc Van Gool, Andreas Steffen:
Privacy in video surveilled spaces. J. Comput. Secur. 16(2): 199-222 (2008)
[j59]
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Konrad Schindler, Luc Van Gool, Béatrice de Gelder:
Recognizing emotions expressed by body pose: A biologically inspired neural model. Neural Networks 21(9): 1238-1246 (2008)
[j58]
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Bastian Leibe, Konrad Schindler, Nico Cornelis, Luc Van Gool:
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1683-1698 (2008)
[c226]
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Michael D. Breitenstein, Eric Sommerlade, Bastian Leibe, Luc Van Gool, Ian Reid:
Probabilistic Parameter Selection for Learning Scene Structure from Video. BMVC 2008: 1-10
[c225]
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Philipp Zehnder, Esther Koller-Meier, Luc Van Gool:
An Efficient Shared Multi-Class Detection Cascade. BMVC 2008: 1-10
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Till Quack, Bastian Leibe, Luc Van Gool:
World-scale mining of objects and events from community photo collections. CIVR 2008: 47-56
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Michael D. Breitenstein, Daniel Küttel, Thibaut Weise, Luc Van Gool, Hanspeter Pfister:
Real-time face pose estimation from single range images. CVPR 2008
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Nico Cornelis, Luc Van Gool:
Fast scale invariant feature detection and matching on programmable graphics hardware. CVPR Workshops 2008: 1-8
[c221]
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Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Changshui Zhang, Luc Van Gool, Xiaoou Tang:
Transductive object cutout. CVPR 2008
[c220]
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Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
A mobile vision system for robust multi-person tracking. CVPR 2008
[c219]
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Konrad Schindler, Luc Van Gool:
Action snippets: How many frames does human action recognition require? CVPR 2008
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Christoph Strecha, Wolfgang von Hansen, Luc Van Gool, Pascal Fua, Ulrich Thoennessen:
On benchmarking camera calibration and multi-view stereo for high resolution imagery. CVPR 2008
[c217]
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Frank Verbiest, Luc Van Gool:
Photometric stereo with coherent outlier handling and confidence estimation. CVPR 2008
[c216]
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Thibaut Weise, Bastian Leibe, Luc Van Gool:
Accurate and robust registration for in-hand modeling. CVPR 2008
[c215]
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Gang Zeng, Luc Van Gool:
Multi-label image segmentation via point-wise repetition. CVPR 2008
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Konrad Schindler, Luc Van Gool:
Combining Densely Sampled Form and Motion for Human Action Recognition. DAGM-Symposium 2008: 122-131
[c213]
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Geert Willems, Tinne Tuytelaars, Luc Van Gool:
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector. ECCV (2) 2008: 650-663
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Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Articulated Multi-body Tracking under Egomotion. ECCV (2) 2008: 816-830
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Jörn Anemüller, Jörg-Hendrik Bach, Barbara Caputo, Michal Havlena, Jie Luo, Hendrik Kayser, Bastian Leibe, Petr Motlícek, Tomás Pajdla, Misha Pavel, Akihiko Torii, Luc Van Gool, Alon Zweig, Hynek Hermansky:
The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events. ICMI 2008: 289-292
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Till Quack, Herbert Bay, Luc Van Gool:
Object Recognition for the Internet of Things. IOT 2008: 230-246
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Geert Willems, Tinne Tuytelaars, Luc Van Gool:
Spatio-temporal features for robust content-based video copy detection. Multimedia Information Retrieval 2008: 283-290
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Daniel Roth, Esther Koller-Meier, Luc Van Gool:
Multi-object tracking driven event detection for evaluation. AREA 2008: 17-24
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Anastasios D. Doulamis, Luc Van Gool, Mark S. Nixon, Theodora A. Varvarigou, Nikolaos D. Doulamis:
First ACM international workshop on analysis and retrieval of events, actions and workflows in video streams. ACM Multimedia 2008: 1147-1148
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Using Recognition to Guide a Robot's Attention. Robotics: Science and Systems 2008
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Anastasios D. Doulamis, Luc Van Gool, Mark S. Nixon, Theodora A. Varvarigou, Nikolaos D. Doulamis, Manolis Sardis:
Proceedings of the 1st ACM Workshop on Analysis and Retrieval of Events/Actions and Workflows in Video Streams, AREA 2008, Vancouver, British Columbia, Canada, October 31, 2008. ACM 2008, ISBN 978-1-60558-318-1 [contents]
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Andreas Ess, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Robust Multi-Person Tracking from Moving Platforms. Logic and Probability for Scene Interpretation 2008
2007
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Rik Fransens, Christoph Strecha, Luc Van Gool:
Optical flow based super-resolution: A probabilistic approach. Comput. Vis. Image Underst. 106(1): 106-115 (2007)
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Matthieu Bray, Esther Koller-Meier, Luc Van Gool:
Smart particle filtering for high-dimensional tracking. Comput. Vis. Image Underst. 106(1): 116-129 (2007)
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Ola Millnert, Toon Goedemé, Tinne Tuytelaars, Luc Van Gool, Alexander Hüntemann, Marnix Nuttin:
Range determination for mobile robots using an omnidirectional camera. Integr. Comput. Aided Eng. 14(1): 63-72 (2007)
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Toon Goedemé, Marnix Nuttin, Tinne Tuytelaars, Luc Van Gool:
Omnidirectional Vision Based Topological Navigation. Int. J. Comput. Vis. 74(3): 219-236 (2007)
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Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool:
Fast stochastic optimization for articulated structure tracking. Image Vis. Comput. 25(3): 352-364 (2007)
[j52]
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Indra Geys, Luc Van Gool:
View synthesis by the parallel use of GPU and CPU. Image Vis. Comput. 25(7): 1154-1164 (2007)
[j51]
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A. C. Murillo, Carlos Sagüés, José Jesús Guerrero, Toon Goedemé, Tinne Tuytelaars, Luc Van Gool:
From omnidirectional images to hierarchical localization. Robotics Auton. Syst. 55(5): 372-382 (2007)
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Pascal Müller, Gang Zeng, Peter Wonka, Luc Van Gool:
Image-based procedural modeling of facades. ACM Trans. Graph. 26(3): 85 (2007)
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Luc Van Gool, Bastian Leibe, Pascal Müller, Maarten Vergauwen, Thibaut Weise:
3D Challenges and a Non-In-Depth Overview of Recent Progress. 3DIM 2007: 118-132
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Tobias Jaeggli, Esther Koller-Meier, Luc Van Gool:
Learning Generative Models for Monocular Body Pose Estimation. ACCV (1) 2007: 608-617
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Andreas Ess, Alexander Neubeck, Luc Van Gool:
Generalised Linear Pose Estimation. BMVC 2007: 1-10
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Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc Van Gool:
Dynamic 3D Scene Analysis from a Moving Vehicle. CVPR 2007
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Thibaut Weise, Bastian Leibe, Luc Van Gool:
Fast 3D Scanning with Automatic Motion Compensation. CVPR 2007
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Tobias Jaeggli, Esther Koller-Meier, Luc Van Gool:
Multi-activity Tracking in LLE Body Pose Space. Workshop on Human Motion 2007: 42-57
[c199]
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Andreas Ess, Bastian Leibe, Luc Van Gool:
Depth and Appearance for Mobile Scene Analysis. ICCV 2007: 1-8
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Bastian Leibe, Konrad Schindler, Luc Van Gool:
Coupled Detection and Trajectory Estimation for Multi-Object Tracking. ICCV 2007: 1-8
[c197]
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Kemal Egemen Ozden, Konrad Schindler, Luc Van Gool:
Simultaneous Segmentation and 3D Reconstruction of Monocular Image Sequences. ICCV 2007: 1-8
[c196]
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Till Quack, Vittorio Ferrari, Bastian Leibe, Luc Van Gool:
Efficient Mining of Frequent and Distinctive Feature Configurations. ICCV 2007: 1-8
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Luc Van Gool:
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback. ICCV 2007: 1-8
[c194]
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Jonathan Maïm, Simon Haegler, Barbara Yersin, Pascal Müller, Daniel Thalmann, Luc Van Gool:
Populating Ancient Pompeii with Crowds of Virtual Romans. VAST 2007: 109-116
2006
[j49]
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Roland Kehl, Luc Van Gool:
Markerless tracking of complex human motions from multiple views. Comput. Vis. Image Underst. 104(2-3): 190-209 (2006)
[j48]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views. Int. J. Comput. Vis. 67(2): 159-188 (2006)
[j47]
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Andrew W. Fitzgibbon, Marc Pollefeys, Luc Van Gool, Andrew Zisserman:
Editorial. Int. J. Comput. Vis. 68(1): 5-6 (2006)
[j46]
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Luc Van Gool, Robert Sablatnig:
Special issue on 3D acquisition technology for cultural heritage. Mach. Vis. Appl. 17(6): 347-348 (2006)
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Maarten Vergauwen, Luc Van Gool:
Web-based 3D Reconstruction Service. Mach. Vis. Appl. 17(6): 411-426 (2006)
[j44]
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Thomas P. Koninckx, Luc Van Gool:
Real-Time Range Acquisition by Adaptive Structured Light. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 432-445 (2006)
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Indra Geys, Luc Van Gool:
On-line, interactive view synthesis and augmentation. Signal Process. Image Commun. 21(9): 709-723 (2006)
[j42]
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Pascal Müller, Peter Wonka, Simon Haegler, Andreas Ulmer, Luc Van Gool:
Procedural modeling of buildings. ACM Trans. Graph. 25(3): 614-623 (2006)
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Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc Van Gool:
3D City Modeling Using Cognitive Loops. 3DPVT 2006: 9-16
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Alexander Neubeck, Alexey Zalesny, Luc Van Gool:
Light Source Calibration for IBR and BTF Acquisition Setups. 3DPVT 2006: 272-278
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Herbert Bay, Andreas Ess, Alexander Neubeck, Luc Van Gool:
3D from Line Segments in Two Poorly-Textured, Uncalibrated Images. 3DPVT 2006: 496-503
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Andreas Griesser, Nico Cornelis, Luc Van Gool:
Towards On-Line Digital Doubles. 3DPVT 2006: 1002-1009
[c189]
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Tobias Jaeggli, Esther Koller-Meier, Luc Van Gool:
Monocular Tracking with a Mixture of View-Dependent Learned Models. AMDO 2006: 494-503
[c188]
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Beat Fasel, Luc Van Gool:
Interactive Museum Guide: Accurate Retrieval of Object Descriptions. Adaptive Multimedia Retrieval 2006: 179-191
[c187]
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Till Quack, Vittorio Ferrari, Luc Van Gool:
Video Mining with Frequent Itemset Configurations. CIVR 2006: 360-369
[c186]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation by Image Exploration. Toward Category-Level Object Recognition 2006: 145-169
[c185]
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Andreas Griesser, Luc Van Gool:
Automatic Interactive Calibration of Multi-Projector-Camera Systems. CVPR Workshops 2006: 8
[c184]
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Rik Fransens, Christoph Strecha, Luc Van Gool:
Robust Estimation in the Presence of Spatially Coherent Outliers. CVPR Workshops 2006: 102
[c183]
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Rik Fransens, Christoph Strecha, Luc Van Gool:
A Mean Field EM-algorithm for Coherent Occlusion Handling in MAP-Estimation Prob. CVPR (1) 2006: 300-307
[c182]
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Nico Cornelis, Kurt Cornelis, Luc Van Gool:
Fast Compact City Modeling for Navigation Pre-Visualization. CVPR (2) 2006: 1339-1344
[c181]
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Michaël De Smet, Rik Fransens, Luc Van Gool:
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions. CVPR (2) 2006: 1423-1430
[c180]
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Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, Bernt Schiele, Luc Van Gool:
Towards Multi-View Object Class Detection. CVPR (2) 2006: 1589-1596
[c179]
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Christoph Strecha, Rik Fransens, Luc Van Gool:
Combined Depth and Outlier Estimation in Multi-View Stereo. CVPR (2) 2006: 2394-2401
[c178]
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Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc Van Gool:
Integrating Recognition and Reconstruction for Cognitive Traffic Scene Analysis from a Moving Vehicle. DAGM-Symposium 2006: 192-201
[c177]
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Kurt Cornelis, Nico Cornelis, Maarten Aerts, Kemal Egemen Ozden, Luc Van Gool:
Online Calibration of Two Zoom-Pan-Tilt Units for Planar Dynamic Events. DAGM-Symposium 2006: 698-707
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Object Detection by Contour Segment Networks. ECCV (3) 2006: 14-28
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Kemal Egemen Ozden, Kurt Cornelis, Luc Van Gool:
Space-Time-Scale Registration of Dynamic Scene Reconstructions. ECCV (4) 2006: 173-185
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Herbert Bay, Tinne Tuytelaars, Luc Van Gool:
SURF: Speeded Up Robust Features. ECCV (1) 2006: 404-417
[c173]
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Toon Goedemé, Tinne Tuytelaars, Luc Van Gool:
Visual topological map building in self-similar environments. ICINCO-RA 2006: 3-9
[c172]
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Ola Millnert, Toon Goedemé, Tinne Tuytelaars, Luc Van Gool, Alexander Hüntemann, Marnix Nuttin:
Range determination for mobile robots using one omnidirectional camera. ICINCO-RA 2006: 366-371
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Stefaan De Roeck, Nico Cornelis, Luc Van Gool:
Augmenting fast stereo with silhouette constraints for dynamic 3D capture. ICPR (1) 2006: 131-134
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Philipp Zehnder, Esther Koller-Meier, Luc Van Gool:
Efficient, Simultaneous Detection of Multiple Object Classes. ICPR (1) 2006: 797-802
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Alexander Neubeck, Luc Van Gool:
Efficient Non-Maximum Suppression. ICPR (3) 2006: 850-855
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Carlos Sagüés, A. C. Murillo, José Jesús Guerrero, Toon Goedemé, Tinne Tuytelaars, Luc Van Gool:
Localization with Omnidirectional Images using the Radial Trifocal Tensor. ICRA 2006: 551-556
[c167]
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Philippe C. Cattin, Herbert Bay, Luc Van Gool, Gábor Székely:
Retina Mosaicing Using Local Features. MICCAI (2) 2006: 185-192
[c166]
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Torsten Spindler, Christoph Wartmann, Ludger Hovestadt, Daniel Roth, Luc Van Gool, Andreas Steffen:
Privacy in video surveilled areas. PST 2006: 29
[c165]
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Pascal Müller, Tijl Vereenooghe, Peter Wonka, Iken Paap, Luc Van Gool:
Procedural 3D Reconstruction of Puuc Buildings in Xkipché. VAST 2006: 139-146
2005
[j41]
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Mike J. Chantler, Luc Van Gool:
Editorial: Special Issue on "Texture Analysis and Synthesi". Int. J. Comput. Vis. 62(1-2): 5 (2005)
[j40]
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Alexey Zalesny, Vittorio Ferrari, Geert Caenen, Luc Van Gool:
Composite Texture Synthesis. Int. J. Comput. Vis. 62(1-2): 161-176 (2005)
[j39]
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Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, Frederik Schaffalitzky, Timor Kadir, Luc Van Gool:
A Comparison of Affine Region Detectors. Int. J. Comput. Vis. 65(1-2): 43-72 (2005)
[j38]
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Maarten Vergauwen, Geert Willems, Frank Verbiest, Luc Van Gool, Daniel Pletinckx:
Combining image and model based rendering of an archaeological site. Signal Process. Image Commun. 20(9-10): 891-906 (2005)
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Peter Claes, Dirk Vandermeulen, Luc Van Gool, Paul Suetens:
Partial Surface Integration Based on Variational Implicit Functions and Surfaces for 3D Model Building. 3DIM 2005: 31-38
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Geert Willems, Frank Verbiest, Maarten Vergauwen, Luc Van Gool:
Real-Time Image Based Rendering from Uncalibrated Images. 3DIM 2005: 221-228
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Indra Geys, Luc Van Gool:
Hierarchical Coarse to Fine Depth Estimation for Realistic View Interpolation. 3DIM 2005: 237-244
[c161]
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Peter Claes, Dirk Vandermeulen, Luc Van Gool, Paul Suetens:
Robust and Accurate Partial Surface Registration Based on Variational Implicit Surfaces for Automatic 3D Model Building. 3DIM 2005: 385-392
[c160]
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Rik Fransens, Christoph Strecha, Luc Van Gool:
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling. AMFG 2005: 109-124
[c159]
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Toon Goedemé, Tinne Tuytelaars, Luc Van Gool, Dirk Vanhooydonck, Eric Demeester, Marnix Nuttin:
Is structure needed for omnidirectional visual homing? CIRA 2005: 303-308
[c158]
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Roland Kehl, Matthieu Bray, Luc Van Gool:
Full Body Tracking from Multiple Views Using Stochastic Sampling. CVPR (2) 2005: 129-136
[c157]
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Kemal Egemen Ozden, Luc Van Gool:
Background Recognition in Dynamic Scenes with Motion Constraints. CVPR (1) 2005: 250-255
[c156]
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Herbert Bay, Vittorio Ferrari, Luc Van Gool:
Wide-Baseline Stereo Matching with Line Segments. CVPR (1) 2005: 329-336
[c155]
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Thomas P. Koninckx, Pieter Peers, Philip Dutré, Luc Van Gool:
Scene-Adapted Structured Light. CVPR (2) 2005: 611-618
[c154]
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Nico Cornelis, Luc Van Gool:
Real-Time Connectivity Constrained Depth Map Computation Using Programmable Graphics Hardware. CVPR (1) 2005: 1099-1104
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Michael Van den Bergh, Ward Servaes, Geert Caenen, Stefaan De Roeck, Luc Van Gool:
Perceptive User Interface, a Generic Approach. ICCV-HCI 2005: 60-69
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Indra Geys, Luc Van Gool:
On-Line Novel View Synthesis Capable of Handling Multiple Moving Objects. ICCV-HCI 2005: 150-159
[c151]
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Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Daniel Gatica-Perez, Tinne Tuytelaars, Luc Van Gool:
Modeling Scenes with Local Descriptors and Latent Aspects. ICCV 2005: 883-890
[c150]
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Toon Goedemé, Tinne Tuytelaars, Luc Van Gool, Gerolf Vanacker, Marnix Nuttin:
Feature based omnidirectional sparse visual path following. IROS 2005: 1806-1811
[c149]
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Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176
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Daniel Roth, Petr Doubek, Luc Van Gool:
Bayesian Pixel Classification for Human Tracking. WACV/MOTION 2005: 78-83
[c147]
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Tobias Jaeggli, Geert Caenen, Rik Fransens, Luc Van Gool:
Analysis of Human Locomotion based on Partial Measurements. WACV/MOTION 2005: 248-253
2004
[j37]
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Florica Mindru, Tinne Tuytelaars, Luc Van Gool, Theo Moons:
Moment invariants for recognition under changing viewpoint and illumination. Comput. Vis. Image Underst. 94(1-3): 3-27 (2004)
[j36]
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Kemal Egemen Ozden, Kurt Cornelis, Luc Van Eycken, Luc Van Gool:
Reconstructing 3D trajectories of independently moving objects using generic constraints. Comput. Vis. Image Underst. 96(3): 453-471 (2004)
[j35]
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Tinne Tuytelaars, Luc Van Gool:
Matching Widely Separated Views Based on Affine Invariant Regions. Int. J. Comput. Vis. 59(1): 61-85 (2004)
[j34]
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Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Frank Verbiest, Kurt Cornelis, Jan Tops, Reinhard Koch:
Visual Modeling with a Hand-Held Camera. Int. J. Comput. Vis. 59(3): 207-232 (2004)
[j33]
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Toon Goedemé, Marnix Nuttin, Tinne Tuytelaars, Luc Van Gool:
Vision Based Intelligent Wheel Chair Control: The Role of Vision and Inertial Sensing in Topological Navigation. J. Field Robotics 21(2): 85-94 (2004)
[j32]
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Mihai Osian, Luc Van Gool:
Video shot characterization. Mach. Vis. Appl. 15(3): 172-177 (2004)
[j31]
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Kurt Cornelis, Frank Verbiest, Luc Van Gool:
Drift Detection and Removal for Sequential Structure from Motion Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 26(10): 1249-1259 (2004)
[c146]
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Alexander Neubeck, Alexey Zalesny, Luc Van Gool:
Viewpoint Consistent Texture Synthesis. 3DPVT 2004: 388-395
[c145]
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Thomas P. Koninckx, Indra Geys, Tobias Jaeggli, Luc Van Gool:
A Graph Cut based Adaptive Structured Light Approach for Real-Time Range Acquisition. 3DPVT 2004: 413-421
[c144]
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Indra Geys, Thomas P. Koninckx, Luc Van Gool:
Fast Interpolated Cameras by Combining a GPU based Plane Sweep with a Max-Flow Regularisation Algorithm. 3DPVT 2004: 534-541
[c143]
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Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool:
Stochastic Meta-Descent for Tracking Articulated Structures. CVPR Workshops 2004: 7
[c142]
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Toon Goedemé, Tinne Tuytelaars, Luc Van Gool:
Fast Wide Baseline Matching for Visual Navigation. CVPR (1) 2004: 24-29
[c141]
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Thomas P. Koninckx, Tobias Jaeggli, Luc Van Gool:
Adaptive Scanning for Online 3D Model Acquisition. CVPR Workshops 2004: 32
[c140]
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Mihai Osian, Tinne Tuytelaars, Luc Van Gool:
Fitting Superellipses to Incomplete Contours. CVPR Workshops 2004: 49
[c139]
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Geert Caenen, Luc Van Gool:
Maximum Response Filters for Texture Analysis. CVPR Workshops 2004: 58
[c138]
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Integrating Multiple Model Views for Object Recognition. CVPR (2) 2004: 105-112
[c137]
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Rik Fransens, Christoph Strecha, Luc Van Gool:
A Probabilistic Approach to Optical Flow based Super-Resolution. CVPR Workshops 2004: 191
[c136]
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Christoph Strecha, Rik Fransens, Luc Van Gool:
Wide-Baseline Stereo from Multiple Views: A Probabilistic Account. CVPR (1) 2004: 552-559
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Tinne Tuytelaars, Luc Van Gool:
Synchronizing Video Sequences. CVPR (1) 2004: 762-768
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Kemal Egemen Ozden, Kurt Cornelis, Luc Van Eycken, Luc Van Gool:
Reconstructing 3D Independent Motions Using Non-Accidentalness. CVPR (1) 2004: 819-825
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Simultaneous Object Recognition and Segmentation by Image Exploration. ECCV (1) 2004: 40-54
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Christoph Strecha, Rik Fransens, Luc Van Gool:
A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection. ECCV Workshop SMVP 2004: 71-82
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Retrieving objects from videos based on affine regions. EUSIPCO 2004: 1733-1736
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Luc Van Gool, Thomas P. Koninckx, Tobias Jaeggli:
Getting to grips with 3D modeling. EUSIPCO 2004: 1877-1882
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Roland Kehl, Luc Van Gool:
Real-Time Pointing Gesture Recognition for an Immersive Environment. FGR 2004: 577-582
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Matthieu Bray, Esther Koller-Meier, Luc Van Gool:
Smart Particle Filtering for 3D Hand Tracking. FGR 2004: 675-680
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David Serby, Esther Koller-Meier, Luc Van Gool:
Probabilistic Object Tracking Using Multiple Features. ICPR (2) 2004: 184-187
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Georgy L. Gimel'farb, Luc Van Gool, Alexey Zalesny:
To FRAME or not to FRAME in Probabilistic Texture Modelling? ICPR (2) 2004: 707-711
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Christoph Strecha, Rik Fransens, Luc Van Gool:
A Probabilistic Formulation of Image Registration. IWCM 2004: 165-176
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Philipp Zehnder, Esther Koller-Meier, Luc Van Gool:
A Hierarchical System for Recognition, Tracking and Pose Estimation. MLMI 2004: 329-340
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Mihai Osian, Tinne Tuytelaars, Luc Van Gool:
A Shape Based, Viewpoint Invariant Local Descriptor. MLMI 2004: 349-359
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Andreas Griesser, Thomas P. Koninckx, Luc Van Gool:
Adaptive Real-Time 3D Acquisition and Contour Tracking within a Multiple Structured Light System. PG 2004: 361-370
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Maarten Vergauwen, Daniel Pletinckx, Geert Willems, Frank Verbiest, Luc Van Gool, Truus Helsen:
As Time Flies By: Mixed Image and Model-Based Rendering of an Historical Landscape from Helicopter Images. VAST 2004: 241-250
2003
[j30]
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Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Kurt Cornelis, Frank Verbiest, Jan Tops:
3D Recording for Archaeological Fieldwork. IEEE Computer Graphics and Applications 23(3): 20-27 (2003)
[j29]
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Gregor Arthur Kalberer, Pascal Müller, Luc Van Gool:
Visual speech, a trajectory in viseme space. Int. J. Imaging Syst. Technol. 13(1): 74-84 (2003)
[j28]
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Katja Nummiaro, Esther Koller-Meier, Luc Van Gool:
An adaptive color-based particle filter. Image Vis. Comput. 21(1): 99-110 (2003)
[j27]
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Maarten Vergauwen, Marc Pollefeys, Luc Van Gool:
A stereo-vision system for support of planetary surface exploration. Mach. Vis. Appl. 14(1): 5-14 (2003)
[j26]
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Tinne Tuytelaars, Andreas Turina, Luc Van Gool:
Noncombinatorial Detection of Regular Repetitions under Perspective Skew. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 418-432 (2003)
[j25]
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Markus H. Gross, Stephan Würmlin, Martin Näf, Edouard Lamboray, Christian P. Spagno, Andreas M. Kunz, Esther Koller-Meier, Tomás Svoboda, Luc Van Gool, Silke Lang, Kai Strehlke, Andrew Vande Moere, Oliver G. Staadt:
blue-c: a spatially immersive display and 3D video portal for telepresence. ACM Trans. Graph. 22(3): 819-827 (2003)
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Joris Vanden Wyngaerd, Luc Van Gool:
Combining texture and shape for automatic crude patch registration. 3DIM 2003: 179-186
[c119]
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Thomas P. Koninckx, Andreas Griesser, Luc Van Gool:
Real-time Range Scanning of Deformable Surfaces by Adaptively Coded Structured Light. 3DIM 2003: 293-301
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Hao Shao, Tomás Svoboda, Tinne Tuytelaars, Luc Van Gool:
HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance. CIVR 2003: 71-80
[c117]
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Alexey Zalesny, Dominik Auf der Maur, Rupert Paget, Maarten Vergauwen, Luc Van Gool:
Realistic Textures for Virtual Anastylosis. CVPR Workshops 2003: 14
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Wide-baseline Multiple-view Correspondences. CVPR (1) 2003: 718-728
[c115]
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Katja Nummiaro, Esther Koller-Meier, Tomás Svoboda, Daniel Roth, Luc Van Gool:
Color-Based Object Tracking in Multi-camera Environments. DAGM-Symposium 2003: 591-599
[c114]
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Christoph Strecha, Tinne Tuytelaars, Luc Van Gool:
Dense Matching of Multiple Wide-baseline Views. ICCV 2003: 1194-1201
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Rik Fransens, Jan De Prins, Luc Van Gool:
SVM-based Nonparametric Discriminant Analysis, An Application to Face Detection. ICCV 2003: 1289-1296
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Hao Shao, Tomás Svoboda, Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Fast indexing for image retrieval based on local appearance with re-ranking. ICIP (3) 2003: 737-740
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Indra Geys, Luc Van Gool:
Virtual Post-its: Visual Label Extraction, Attachment, and Tracking for Teleconferencing. ICVS 2003: 121-130
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Petr Doubek, Tomás Svoboda, Luc Van Gool:
Monkeys -- A Software Architecture for ViRoom -- Low-Cost Multicamera System. ICVS 2003: 386-395
[c109]
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Mihai Osian, Luc Van Gool:
Video Shot Characterization. TRECVID 2003
[c108]
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John Cosmas, T. Itegaki, Damian Green, N. Joseph, Luc Van Gool, Alexey Zalesny, Desi Vanrintel, Franz Leberl, Markus Grabner, Konrad Schindler, Konrad F. Karner, Michael Gervautz, Stefan Hynst, Marc Waelkens, Maarten Vergauwen, Marc Pollefeys, Kurt Cornelis, Tijl Vereenooghe, Robert Sablatnig, Martin Kampel, P. Axell, E. Meyns:
Providing Multimedia Tools for Recording, Reconstruction, Visualisation and Database Storage/Access of Archaeological Excavations. VAST 2003: 165-174
2002
[j24]
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Marc Pollefeys, Luc Van Gool:
From images to 3D models. Commun. ACM 45(7): 50-55 (2002)
[j23]
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Joris Vanden Wyngaerd, Luc Van Gool:
Automatic Crude Patch Registration: Toward Automatic 3D Model Building. Comput. Vis. Image Underst. 87(1-3): 8-26 (2002)
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Geert Van Meerbergen, Maarten Vergauwen, Marc Pollefeys, Luc Van Gool:
A Hierarchical Symmetric Stereo Algorithm Using Dynamic Programming. Int. J. Comput. Vis. 47(1-3): 275-285 (2002)
[j21]
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Gregor Arthur Kalberer, Luc Van Gool:
Realistic face animation for speech. Comput. Animat. Virtual Worlds 13(2): 97-106 (2002)
[j20]
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Marc Pollefeys, Luc Van Gool:
Visual modelling: from images to images. Comput. Animat. Virtual Worlds 13(4): 199-209 (2002)
[c107]
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Luc Van Gool, Dirk Vandermeulen, Gregor Arthur Kalberer, Tinne Tuytelaars, Alexey Zalesny:
Modeling shapes and textures from images: new frontiers. 3DPVT 2002: 286-295
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André Redert, Marc Op de Beeck, Christoph Fehn, Wijnand A. IJsselsteijn, Marc Pollefeys, Luc Van Gool, Eyal Ofek, Ian Sexton, Philip Surman:
ATTEST: Advanced Three-dimensional Television System Technologies. 3DPVT 2002: 313-319
[c105]
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Christoph Strecha, Luc Van Gool:
PDE-based Multi-view Depth Estimation. 3DPVT 2002: 416-427
[c104]
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Gregor Arthur Kalberer, Pascal Müller, Luc Van Gool:
Biological Motion of Speech. Biologically Motivated Computer Vision 2002: 199-206
[c103]
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Naoki Kogo, Christoph Strecha, Rik Fransens, Geert Caenen, Johan Wagemans, Luc Van Gool:
Reconstruction of Subjective Surfaces from Occlusion Cues. Biologically Motivated Computer Vision 2002: 311-321
[c102]
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Stephan Scholze, Theo Moons, Luc Van Gool:
A Probabilistic Approach to Building Roof Reconstruction Using Semantic Labelling. DAGM-Symposium 2002: 257-264
[c101]
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Katja Nummiaro, Esther Koller-Meier, Luc Van Gool:
Object Tracking with an Adaptive Color-Based Particle Filter. DAGM-Symposium 2002: 353-360
[c100]
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Tomás Svoboda, Hanspeter Hug, Luc Van Gool:
ViRoom - Low Cost Synchronized Multicamera System and Its Self-calibration. DAGM-Symposium 2002: 515-522
[c99]
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Thomas P. Koninckx, Luc Van Gool:
Efficient, Active 3D Acquisition, Based on a Pattern-Specific Snake. DAGM-Symposium 2002: 557-565
[c98]
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Christoph Strecha, Luc Van Gool:
Motion - Stereo Integration for Depth Estimation. ECCV (2) 2002: 170-185
[c97]
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Alexey Zalesny, Vittorio Ferrari, Geert Caenen, Dominik Auf der Maur, Luc Van Gool:
Composite Texture Descriptions. ECCV (3) 2002: 180-194
[c96]
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Kurt Cornelis, Marc Pollefeys, Luc Van Gool:
Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery. ECCV (2) 2002: 186-200
[c95]
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Florica Mindru, Theo Moons, Luc Van Gool:
Comparing Intensity Transformations and Their Invariants in the Context of Color Pattern Recognition. ECCV (4) 2002: 448-460
[c94]
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Joris Vanden Wyngaerd, Luc Van Gool:
Coarse Registration of Surface Patches with Local Symmetries. ECCV (2) 2002: 572-586
[c93]
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Marc Pollefeys, Frank Verbiest, Luc Van Gool:
Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery. ECCV (2) 2002: 837-851
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Florica Mindru, Luc Van Gool, Theo Moons:
Model Estimation for Photometric Changes of Outdoor Planar Color Surfaces Caused by Changes in Illumination and Viewpoint. ICPR (1) 2002: 620-623
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Stephan Scholze, Theo Moons, Luc Van Gool:
Driving 3D Geometric Modelling for Building Roof Reconstruction by Semantics. VMV 2002: 225-232
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Gregor Arthur Kalberer, Pascal Müller, Luc Van Gool:
Generating Visemes for Realistic Animation. VMV 2002: 233-240
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Gregor Arthur Kalberer, Pascal Müller, Luc Van Gool:
Speech Animation Using Viseme Space. VMV 2002: 463-470
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Luc Van Gool:
Pattern Recognition, 24th DAGM Symposium, Zurich, Switzerland, September 16-18, 2002, Proceedings. Lecture Notes in Computer Science 2449, Springer 2002, ISBN 3-540-44209-X [contents]
2001
[j19]
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F. Feyaerts, Luc Van Gool:
Multi-spectral vision system for weed detection. Pattern Recognit. Lett. 22(6/7): 667-674 (2001)
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Gregor Arthur Kalberer, Luc Van Gool:
Face animation based on observed 3D speech dynamics. CA 2001: 20-251
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Real-time affine region tracking and coplanar grouping. CVPR (2) 2001: 226-233
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Andreas Turina, Tinne Tuytelaars, Luc Van Gool:
Efficient Grouping under Perspective Skew. CVPR (1) 2001: 247-254
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Alexey Zalesny, Luc Van Gool:
Multiview Texture Models. CVPR (1) 2001: 615-622
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Andreas Turina, Tinne Tuytelaars, Theo Moons, Luc Van Gool:
Grouping via the Matching of Repeated Patterns. ICAPR 2001: 250-259
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Marc Pollefeys, Luc Van Gool:
Do Ambiguous Reconstructions Always Give Ambiguous Images?. ICCV 2001: 187-192
[c82]
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Maarten Vergauwen, Marc Pollefeys, Luc Van Gool:
Calibration and 3D Measurement from Martian Terrain Images. ICRA 2001: 2153-2158
[c81]
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Maarten Vergauwen, Marc Pollefeys, Luc Van Gool:
A Stereo Vision System for Support of Planetary Surface Exploration. ICVS 2001: 298-312
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Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool:
Markerless Augmented Reality with a Real-Time Affine Region Tracker. ISAR 2001: 87-96
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Alexey Zalesny, Dominik Auf der Maur, Luc Van Gool:
Composite textures: emulating building materials and vegetation for 3D models. Virtual Reality, Archeology, and Cultural Heritage 2001: 179-186
[c78]
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Marc Pollefeys, Luc Van Gool, Ive Akkermans, Dirk De Becker, Kris Demuynck:
A guided tour to virtual Sagalassos. Virtual Reality, Archeology, and Cultural Heritage 2001: 213-218
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Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Kurt Cornelis, Frank Verbiest, Jan Tops:
Image-based 3D acquisition of archaeological heritage and applications. Virtual Reality, Archeology, and Cultural Heritage 2001: 255-262
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John Cosmas, Take Itagaki, Damian Green, Edward Grabczewski, Fred Weimer, Luc Van Gool, Alexey Zalesny, Desi Vanrintel, Franz Leberl, Markus Grabner, Konrad Schindler, Konrad F. Karner, Michael Gervautz, Stefan Hynst, Marc Waelkens, Marc Pollefeys, Roland DeGeest, Robert Sablatnig, Martin Kampel:
3D MURALE: a multimedia system for archaeology. Virtual Reality, Archeology, and Cultural Heritage 2001: 297-306
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Kurt Cornelis, Marc Pollefeys, Luc Van Gool:
Tracking based structure and motion recovery for augmented video productions. VRST 2001: 17-24
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Marc Pollefeys, Luc Van Gool, Andrew Zisserman, Andrew W. Fitzgibbon:
3D Structure from Images - SMILE 2000, Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Ireland, July 12, 2000, Revised Papers. Lecture Notes in Computer Science 2018, Springer 2001, ISBN 3-540-41845-8 [contents]
2000
[j18]
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Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor:
Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimisation. Des. Autom. Embed. Syst. 5(3-4): 313-327 (2000)
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Reinhard Koch, Marc Pollefeys, Luc Van Gool:
Realistic surface reconstruction of 3D scenes from uncalibrated image sequences. Comput. Animat. Virtual Worlds 11(3): 115-127 (2000)
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Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, Bert DeKnuydt, Luc Van Gool:
Three-dimensional Scene Reconstruction from Images. Three-Dimensional Image Capture and Applications 2000: 215-226
[c73]
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Tinne Tuytelaars, Luc Van Gool:
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions. BMVC 2000: 1-14
[c72]
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Tinne Tuytelaars, A. Zaatri, Luc Van Gool, Hendrik Van Brussel:
Automatic Object Recognition as Part of an Integrated Supervisory Control System. ICRA 2000: 3707-3712
[c71]
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Maarten Vergauwen, Marc Pollefeys, Tinne Tuytelaars, Luc Van Gool:
On Satellite Vision-Aided Robotics Experiment. ICRA 2000: 4039-4044
[c70]
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Alexey Zalesny, Luc Van Gool:
A Compact Model for Viewpoint Dependent Texture Synthesis. SMILE 2000: 124-143
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Kurt Cornelis, Marc Pollefeys, Maarten Vergauwen, Luc Van Gool:
Augmented Reality Using Uncalibrated Video Sequences. SMILE 2000: 144-160
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Luc Van Gool, Filip Defoort, Johannes Hug, Gregor Arthur Kalberer, Reinhard Koch, Danny Martens, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen, Alexey Zalesny:
Image-Based 3D Modeling: Modeling from Reality. Confluence of Computer Vision and Computer Graphics 2000: 161-178

1990 – 1999

see FAQ

What is the meaning of the colors in the publication lists?

1999
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Marc Pollefeys, Reinhard Koch, Luc Van Gool:
Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters. Int. J. Comput. Vis. 32(1): 7-25 (1999)
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Marc Pollefeys, Luc Van Gool:
Stratified Self-Calibration with the Modulus Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 21(8): 707-724 (1999)
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Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, Luc Van Gool:
Hand-Held Acquisition of 3D Models with a Video Camera. 3DIM 1999: 14-23
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Luc Van Gool, Tinne Tuytelaars, Marc Pollefeys:
Adventurous Tourism for Couch Potatoes. CAIP 1999: 98-107
[c66]
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Reinhard Koch, Benno Heigl, Marc Pollefeys, Luc Van Gool, Heinrich Niemann:
A Geometric Approach to Lightfield Calibration. CAIP 1999: 596-603
[c65]
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Bert DeKnuydt, Stef Desmet, Luc Van Eycken, Luc Van Gool:
Coding of Dynamic Texture on 3D Scenes. CAIP 1999: 604-614
[c64]
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Florica Mindru, Theo Moons, Luc Van Gool:
Recognizing Color Patterns Irrespective of Viewpoint and Illumination. CVPR 1999: 1368-1373
[c63]
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Benno Heigl, Reinhard Koch, Marc Pollefeys, Joachim Denzler, Luc Van Gool:
Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera. DAGM-Symposium 1999: 94-101
[c62]
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Reinhard Koch, Marc Pollefeys, Luc Van Gool:
Robust Calibration and 3D Geometric Modeling From Large Collections of Uncalibrated Images. DAGM-Symposium 1999: 413-420
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Luc Van Gool, Tinne Tuytelaars, Andreas Turina:
Local Features for Image Retrieval. State-of-the-Art in Content-Based Image and Video Retrieval 1999: 21-41
[c60]
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Joris Vanden Wyngaerd, Luc Van Gool, Reinhard Koch, Marc Proesmans:
Invariant-based Registration of Surface Patches. ICCV 1999: 301-306
[c59]
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Marc Pollefeys, Reinhard Koch, Luc Van Gool:
A Simple and Efficient Rectification Method for General Motion. ICCV 1999: 496-501
[c58]
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Reinhard Koch, Marc Pollefeys, Benno Heigl, Luc Van Gool, Heinrich Niemann:
Calibration of Hand-Held Camera Sequences for Plenoptic Modeling. ICCV 1999: 585-591
[c57]
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Reinhard Koch, Marc Pollefeys, Luc Van Gool:
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences. ICIP (2) 1999: 500-504
[c56]
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Tinne Tuytelaars, Luc Van Gool, L. D'haene, Reinhard Koch:
Matching of Affinely Invariant Regions for Visual Servoing. ICRA 1999: 1601-1606
[c55]
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Luc Van Gool, Reinhard Koch, Theo Moons:
New Techniques for 3D Modelling...and for doing without. ISER 1999: 79-88
[c54]
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Tanja Van Achteren, Marleen Adé, Rudy Lauwereins, Marc Proesmans, Luc Van Gool, Jan Bormans, Francky Catthoor:
Transformations of a 3D Image Reconstruction Algorithm for Data Transfer and Storage Optimization. IEEE International Workshop on Rapid System Prototyping 1999: 81-86
[c53]
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Marc Proesmans, Luc Van Gool:
Grouping Based on Coupled Diffusion Maps. Shape, Contour and Grouping in Computer Vision 1999: 196-216
[c52]
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Tinne Tuytelaars, Luc Van Gool:
Content-Based Image Retrieval Based on Local Affinely Invariant Regions. VISUAL 1999: 493-500
1998
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Luc Van Gool, Marc Proesmans, Andrew Zisserman:
Planar homologies as a basis for grouping and recognition. Image Vis. Comput. 16(1): 21-26 (1998)
[c51]
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Luc Van Gool, Filip Defoort, Reinhard Koch, Marc Pollefeys, Marc Proesmans, Maarten Vergauwen:
Special Lecture: 3D Modeling for Communications. Computer Graphics International 1998: 482-489
[c50]
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David Frère, Jan Vandekerckhove, Theo Moons, Luc Van Gool:
Semi-Automatic Modelling of Urban Buildings from High Resolution Aerial Imagery. Computer Graphics International 1998: 588-596
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Reinhard Koch, Marc Pollefeys, Luc Van Gool:
Automatic 3D Model Acquisition from Uncalibrated Image Sequences. Computer Graphics International 1998: 597-604
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Reinhard Koch, Marc Pollefeys, Luc Van Gool:
Multi Viewpoint Stereo from Uncalibrated Video Sequences. ECCV (1) 1998: 55-71
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Theo Moons, David Frère, Jan Vandekerckhove, Luc Van Gool:
Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery. ECCV (1) 1998: 410-425
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Tinne Tuytelaars, Luc Van Gool, Marc Proesmans, Theo Moons:
A Cascaded Hough Transform as an Aid in Aerial Image Interpretation. ICCV 1998: 67-72
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Marc Pollefeys, Reinhard Koch, Luc Van Gool:
Self-Calibration and Metric Reconstruction in Spite of Varying and Unknown Internal Camera Parameters. ICCV 1998: 90-95
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Marc Proesmans, Luc Van Gool, Filip Defoort:
Reading between the lines: A method for extracting dynamic 3D with Texture. ICCV 1998: 1081-1086
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Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, Luc Van Gool:
Flexible 3D Acquisition with a Monocular Camera. ICRA 1998: 2771-2776
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Roger Mohr, R. Buschmann, Lutz Falkenhagen, Luc Van Gool, Reinhard Koch:
CUMULI, PANORAMA, and VANGUARD Project Overview. SMILE 1998: 1-13
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Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, Luc Van Gool:
Metric 3D Surface Reconstruction from Uncalibrated Image Sequences. SMILE 1998: 139-154
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Reinhard Koch, Luc Van Gool:
3D Structure from Multiple Images of Large-Scale Environments, European Workshop, SMILE'98, Freiburg, Germany, June 6-7, 1998. Lecture Notes in Computer Science 1506, Springer 1998, ISBN 3-540-65310-4 [contents]
1997
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Luc Van Gool, Andrew Zisserman:
Automatic 3D model building from video sequences. Eur. Trans. Telecommun. 8(4): 369-378 (1997)
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Marc Proesmans, Luc Van Gool:
One-shot active 3D image capture. Three-Dimensional Image Capture 1997: 50-61
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Luc Van Gool:
A Systematic Approach to Geometric-Based Grouping and Non-accidentalness. AFPAC 1997: 126-147
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Tinne Tuytelaars, Marc Proesmans, Luc Van Gool:
The Cascaded Hough Transform as Support for Grouping and Finding Vanishing Points and Lines. AFPAC 1997: 278-289
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Marc Proesmans, Luc Van Gool:
One-shot 3D-shape and Texture Acquisition of Facial Data. AVBPA 1997: 411-418
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Marc Pollefeys, Luc Van Gool:
Self-Calibration from the Absolute Conic on the Plane at Infinity. CAIP 1997: 175-182
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Marc Pollefeys, Luc Van Gool:
A Stratified Approach to Metric Self-Calibration. CVPR 1997: 407-412
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Tinne Tuytelaars, Marc Proesmans, Luc Van Gool:
The Cascaded Hough Transforms. ICIP (2) 1997: 736-739
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Marc Proesmans, Luc Van Gool:
Reading between the lines - a method for extracting dynamic 3D with texture. VRST 1997: 95-102
1996
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Stefan Carlsson, Roger Mohr, Theo Moons, Luce Morin, Charlie Rothwell, Marc Van Diest, Luc Van Gool, Francoise Veillon, Andrew Zisserman:
Semi-local projective invariants for the recognition of smooth plane curves. Int. J. Comput. Vis. 19(3): 211-236 (1996)
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Theo Moons, Luc Van Gool, Eric J. Pauwels, André Oosterlinck:
Viewpoint invariant characteristics of articulated objects. J. Math. Imaging Vis. 6(1): 37-57 (1996)
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Theo Moons, Luc Van Gool, Marc Proesmans, Eric J. Pauwels:
Affine Reconstruction from Perspective Image Pairs with a Relative Object-Camera Translation in Between. IEEE Trans. Pattern Anal. Mach. Intell. 18(1): 77-83 (1996)
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Luc Van Gool, Theo Moons, Marc Proesmans:
Mirror and Point Symmetry under Perspective Skewing. CVPR 1996: 285-292
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Marc Pollefeys, Luc Van Gool, Marc Proesmans:
Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts. ECCV (1) 1996: 31-42
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Luc Van Gool, Theo Moons, Dorin Ungureanu:
Affine/ Photometric Invariants for Planar Intensity Patterns. ECCV (1) 1996: 642-651
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Marc Proesmans, Luc Van Gool, André Oosterlinck:
Active acquisition of 3D shape for moving objects. ICIP (3) 1996: 647-650
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Marc Proesmans, Luc Van Gool, André Oosterlinck:
One-shot active 3D shape acquisition. ICPR 1996: 336-340
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Marc Pollefeys, Luc Van Gool, André Oosterlinck:
The modulus constraint: a new constraint self-calibration. ICPR 1996: 349-353
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Eric J. Pauwels, Peter Fiddelaers, Luc Van Gool:
Autonomous grouping of contour-segments using an adaptive region-growing algorithm. ICPR 1996: 586-590
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Luc Van Gool:
Invariants and Fixed Structures Lead the Way to Change. SSPR 1996: 220-229
1995
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Luc Van Gool, Theo Moons, Dorin Ungureanu, André Oosterlinck:
The Characterization and Detection of Skewed Symmetry. Comput. Vis. Image Underst. 61(1): 138-150 (1995)
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Theo Moons, Eric J. Pauwels, Luc Van Gool, André Oosterlinck:
Foundations of semi-differential invariants. Int. J. Comput. Vis. 14(1): 25-47 (1995)
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Eric J. Pauwels, Theo Moons, Luc Van Gool, P. Kempenaers, André Oosterlinck:
Recognition of planar shapes under affine distortion. Int. J. Comput. Vis. 14(1): 49-65 (1995)
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Luc Van Gool, Theo Moons, Dorin Ungureanu, Eric J. Pauwels:
Symmetry From Shape and Shape From Symmetry. Int. J. Robotics Res. 14(5): 407-424 (1995)
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Luc Van Gool, Theo Moons, Eric J. Pauwels, André Oosterlinck:
Vision and Lie's approach to invariance. Image Vis. Comput. 13(4): 259-277 (1995)
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Eric J. Pauwels, Luc Van Gool, Peter Fiddelaers, Theo Moons:
An Extended Class of Scale-Invariant and Recursive Scale Space Filters. IEEE Trans. Pattern Anal. Mach. Intell. 17(7): 691-701 (1995)
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Eric J. Pauwels, Peter Fiddelaers, Luc Van Gool:
Enhancement of Planar Shape Through Optimization of Functionals for Curves. IEEE Trans. Pattern Anal. Mach. Intell. 17(11): 1101-1105 (1995)
[c24]
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Marc Pollefeys, Luc Van Gool, Theo Moons:
Euclidean 3D Reconstruction from Stereo Sequences with Variable Focal Lengths. ACCV 1995: 405-413
[c23]
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Eric Thirion, Theo Moons, Luc Van Gool:
Affine Reconstruction from Lines. BMVC 1995: 1-10
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Luc Van Gool, Theo Moons, Marc Proesmans:
Groups for Grouping: A Strategy for the Exploitation of Geometrical Constraints. CAIP 1995: 1-8
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Tomás Pajdla, Luc Van Gool:
Efficient matching of space curves. CAIP 1995: 25-32
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Dorin Ungureanu, Luc Van Gool, Theo Moons:
Visual robot guidance for an insertion task. CAIP 1995: 894-899
[c19]
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Tomás Pajdla, Luc Van Gool:
Matching of 3D Curves Using Semi-Differential Invariants. ICCV 1995: 390-395
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Eric J. Pauwels, Peter Fiddelaers, Luc Van Gool:
Shape Extraction for Curves Using Geometry-Driven Diffusion and Functional Optimization. ICCV 1995: 396-401
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Luc Van Gool, Theo Moons, Marc Proesmans, André Oosterlinck:
Groups, fixed sets, symmetries, and invariants. ICIP (3) 1995: 356-359
1994
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Marc Proesmans, Luc Van Gool, Eric J. Pauwels, André Oosterlinck:
Determination of Optical Flow and its Discontinuities using Non-Linear Diffusion. ECCV (2) 1994: 295-304
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Peter Fiddelaers, Eric J. Pauwels, Luc Van Gool:
Geometry-Driven Curve Evolution. ECCV (1) 1994: 427-432
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Marc Van Diest, Luc Van Gool, Theo Moons, Eric J. Pauwels:
Projective Invariants for Planar Contour Recognition. ECCV (1) 1994: 527-534
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Luc Van Gool, Theo Moons, Marc Proesmans, Marc Van Diest:
Affine reconstruction from perspective image pairs obtained by a translating camera. ICPR (1) 1994: 290-294
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Marc Proesmans, Eric J. Pauwels, Luc Van Gool:
Coupled Geometry-Driven Diffusion Equations for Low-Level Vision. Geometry-Driven Diffusion in Computer Vision 1994: 191-228
1993
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Luc Van Gool, Theo Moons, Marc Van Diest, Eric J. Pauwels:
Matching Perspective Views of Parallel Plane Structures. Applications of Invariance in Computer Vision 1993: 165-184
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Theo Moons, Luc Van Gool, Marc Van Diest, Eric J. Pauwels:
Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera. Applications of Invariance in Computer Vision 1993: 297-316
[c10]
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Marc Van Diest, Theo Moons, Luc Van Gool, André Oosterlinck:
Shape-from-copies. BMVC 1993: 1-10
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Marc Proesmans, Eric J. Pauwels, Luc Van Gool, Theo Moons, André Oosterlinck:
Image enhancement using non-linear diffusion. CVPR 1993: 680-681
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Dorin Ungureanu, Marc Proesmans, Luc Van Gool, André Oosterlinck, Jeroen Zegers, J. Decaluwe:
A real-time edge linker. CVPR 1993: 793-794
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Andrew Zisserman, Andrew Blake, Charlie Rothwell, Luc Van Gool, Marc Van Diest:
Eliciting qualitative structure from image curve deformations. ICCV 1993: 340-345
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Eric J. Pauwels, Marc Proesmans, Luc Van Gool, Theo Moons, André Oosterlinck:
Segmentation and image enhancement using coupled anisotropic diffusion equations. VCIP 1993
1992
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Theo Moons, Eric J. Pauwels, Luc Van Gool, André Oosterlinck:
Towards a general framework for feature extraction. CVPR 1992: 865-868
1991
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Luc Van Gool, P. Kempenaers, André Oosterlinck:
Recognition and semi-differential invariants. CVPR 1991: 454-460
1990
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Luc Van Gool, Johan Wagemans, Johan Vandeneede, André Oosterlinck:
Similarity extraction and modeling. ICCV 1990: 530-534
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D. B. Zhang, Luc Van Gool, André Oosterlinck:
Stochastic predictive control of robot tracking systems with dynamic visual feedback. ICRA 1990: 610-615

1980 – 1989

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1988
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Piet Dewaele, Luc Van Gool, Patrick Wambacq, André Oosterlinck:
Texture inspection with self-adaptive convolution filters. ICPR 1988: 56-60
1985
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Luc Van Gool, Piet Dewaele, André Oosterlinck:
Texture analysis Anno 1983. Comput. Vis. Graph. Image Process. 29(3): 336-357 (1985)
1984
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Luc Van Gool, M. Van Thillo, M. Akkermans, André Oosterlinck:
The creation of line drawings as a basis for feature-based stereo vision. J. Field Robotics 1(3): 251-262 (1984)

Coauthor Index

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