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2024
[c57]
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Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. CVPR 2024: 4274-4283
[c56]
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Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell:
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CVPR 2024: 7996-8006
[c55]
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David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, Vincent Sitzmann:
PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. CVPR 2024: 19457-19467
[c54]
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Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi:
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. CVPR 2024: 20061-20070
[c53]
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Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CVPR 2024: 20071-20080
[c52]
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Akhmedkhan Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. CVPR 2024: 20571-20580
[c51]
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Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CVPR 2024: 22820-22830
[c50]
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  - conf/eccv/BahmaniLYSRLLPTWTL24
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Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell:
TC4D: Trajectory-Conditioned Text-to-4D Generation. ECCV (46) 2024: 53-72
[c49]
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Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. ECCV (38) 2024: 221-238
[i70]
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  - journals/corr/abs-2403-17920
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Sherwin Bahmani, Xian Liu, Yifan Wang, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell:
TC4D: Trajectory-Conditioned Text-to-4D Generation. CoRR abs/2403.17920 (2024)
[i69]
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  - journals/corr/abs-2404-09591
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Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR abs/2404.09591 (2024)
[i68]
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  - journals/corr/abs-2404-12547
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Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Does Gaussian Splatting need SFM Initialization? CoRR abs/2404.12547 (2024)
[i67]
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  - journals/corr/abs-2404-13024
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Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction. CoRR abs/2404.13024 (2024)
[i66]
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  - journals/corr/abs-2406-20055
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Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi:
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting. CoRR abs/2406.20055 (2024)
[i65]
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  - journals/corr/abs-2407-07860
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Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet:
Controlling Space and Time with Diffusion Models. CoRR abs/2407.07860 (2024)
[i64]
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  - journals/corr/abs-2407-12781
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Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov:
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. CoRR abs/2407.12781 (2024)
[i63]
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  - journals/corr/abs-2409-05334
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Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi:
Lagrangian Hashing for Compressed Neural Field Representations. CoRR abs/2409.05334 (2024)
2023
[j27]
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  - journals/pami/ChenTZ23
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Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4870-4881 (2023)
[j26]
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  - journals/tmlr/RebainMYSLT23
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Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. 2023 (2023)
[c48]
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  - conf/cvpr/KaniaGTEYVTK23
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Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski:
BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR 2023: 404-415
[c47]
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  - conf/cvpr/PengGJTPF23
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Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CVPR 2023: 815-824
[c46]
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  - conf/cvpr/TangTTTF23
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Shitao Tang, Sicong Tang, Andrea Tagliasacchi, Ping Tan, Yasutaka Furukawa:
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization. CVPR 2023: 929-939
[c45]
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  - conf/cvpr/VasconcelosOMHS23
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Cristina Nader Vasconcelos, A. Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi:
CUF: Continuous Upsampling Filters. CVPR 2023: 9999-10008
[c44]
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Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi:
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CVPR 2023: 16569-16578
[c43]
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Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi:
RobustNeRF: Ignoring Distractors with Robust Losses. CVPR 2023: 20626-20636
[c42]
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  - conf/cvpr/Sinha0TGL23
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Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell:
SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR 2023: 21349-21359
[c41]
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  - conf/iccv/BahmaniPPYWGT23
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. ICCV 2023: 7137-7147
[c40]
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  - conf/iclr/WatsonCMHT023
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Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. ICLR 2023
[c39]
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  - conf/icra/GoliRSGT23
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Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. ICRA 2023: 9354-9361
[c38]
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Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS 2023
[c37]
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Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli:
Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS 2023
[c36]
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  - conf/wacv/SunRLTYYT23
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Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. WACV 2023: 551-560
[i62]
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  - journals/corr/abs-2302-00833
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Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi:
RobustNeRF: Ignoring Distractors with Robust Losses. CoRR abs/2302.00833 (2023)
[i61]
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  - journals/corr/abs-2303-12074
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR abs/2303.12074 (2023)
[i60]
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  - journals/corr/abs-2305-07514
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Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski:
BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR abs/2305.07514 (2023)
[i59]
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  - journals/corr/abs-2305-15581
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Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR abs/2305.15581 (2023)
[i58]
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  - journals/corr/abs-2306-08943
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Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli:
Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR abs/2306.08943 (2023)
[i57]
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  - journals/corr/abs-2309-03185
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Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi:
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. CoRR abs/2309.03185 (2023)
[i56]
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  - journals/corr/abs-2311-17984
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Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell:
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CoRR abs/2311.17984 (2023)
[i55]
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  - journals/corr/abs-2312-00065
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Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CoRR abs/2312.00065 (2023)
[i54]
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  - journals/corr/abs-2312-00075
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Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CoRR abs/2312.00075 (2023)
[i53]
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  - journals/corr/abs-2312-02202
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Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Volumetric Rendering with Baked Quadrature Fields. CoRR abs/2312.02202 (2023)
[i52]
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  - journals/corr/abs-2312-02362
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Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A multi-scale, point-based Neural Radiance Field. CoRR abs/2312.02362 (2023)
[i51]
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  - journals/corr/abs-2312-06799
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Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun:
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. CoRR abs/2312.06799 (2023)
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David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann:
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. CoRR abs/2312.12337 (2023)
2022
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Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. 2022 (2022)
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Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural dual contouring. ACM Trans. Graph. 41(4): 104:1-104:13 (2022)
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Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CVPR 2022: 1548-1557
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Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751
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Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 2022: 6219-6228
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Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud:
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CVPR 2022: 6749-6760
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Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR 2022: 12861-12871
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Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CVPR 2022: 12922-12932
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Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. CVPR 2022: 18602-18611
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Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA 2022: 6394-6400
[c27]
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Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli:
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS 2022
[i49]
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Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural Dual Contouring. CoRR abs/2202.01999 (2022)
[i48]
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Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022)
[i47]
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  - journals/corr/abs-2205-04334
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Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR abs/2205.04334 (2022)
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Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli:
D²NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. CoRR abs/2205.15838 (2022)
[i45]
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Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. CoRR abs/2207.09978 (2022)
[i44]
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Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi:
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CoRR abs/2208.00277 (2022)
[i43]
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  - journals/corr/abs-2209-02417
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Andrea Tagliasacchi, Ben Mildenhall:
Volume Rendering Digest (for NeRF). CoRR abs/2209.02417 (2022)
[i42]
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Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. CoRR abs/2209.10684 (2022)
[i41]
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Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. CoRR abs/2210.04628 (2022)
[i40]
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Cristina Nader Vasconcelos, Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi:
CUF: Continuous Upsampling Filters. CoRR abs/2210.06965 (2022)
[i39]
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Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. CoRR abs/2211.01600 (2022)
[i38]
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Shitao Tang, Sicong Tang, Andrea Tagliasacchi, Ping Tan, Yasutaka Furukawa:
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization. CoRR abs/2211.11177 (2022)
[i37]
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Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CoRR abs/2211.15654 (2022)
[i36]
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Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell:
SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR abs/2211.16991 (2022)
2021
[c26]
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Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer. CVPR 2021: 2412-2422
[c25]
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Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CVPR 2021: 14153-14161
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Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi:
COTR: Correspondence Transformer for Matching Across Images. ICCV 2021: 6187-6197
[c23]
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Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV 2021: 12180-12189
[c22]
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Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet:
Unsupervised Part Representation by Flow Capsules. ICML 2021: 9213-9223
[c21]
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Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Self-Supervised Capsules in Canonical Pose. NeurIPS 2021: 24993-25005
[i35]
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Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi:
COTR: Correspondence Transformer for Matching Across Images. CoRR abs/2103.14167 (2021)
[i34]
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Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR abs/2104.12229 (2021)
[i33]
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Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Deep Medial Fields. CoRR abs/2106.03804 (2021)
[i32]
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Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR abs/2106.14274 (2021)
[i31]
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Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud:
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CoRR abs/2108.04869 (2021)
[i30]
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  - journals/corr/abs-2111-09996
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Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CoRR abs/2111.09996 (2021)
[i29]
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  - journals/corr/abs-2111-13112
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Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, Shixiang Shane Gu:
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field. CoRR abs/2111.13112 (2021)
[i28]
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  - journals/corr/abs-2111-13152
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Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR abs/2111.13152 (2021)
[i27]
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Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR abs/2111.13260 (2021)
[i26]
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Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CoRR abs/2111.14643 (2021)
[i25]
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Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. CoRR abs/2112.01983 (2021)
[i24]
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Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. CoRR abs/2112.05124 (2021)
2020
[j23]
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Andrea Tagliasacchi, Paul G. Kry:
Foreword to the Special Section on Graphics Interface. Comput. Graph. 88: 6- (2020)
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Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNet: Learnable Convex Decomposition. CVPR 2020: 31-41
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Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR 2020: 42-51
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Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops 2020: 1069-1073
[c17]
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Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin:
Deep Implicit Volume Compression. CVPR 2020: 1290-1300
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Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. CVPR 2020: 11283-11292
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Boyang Deng, John P. Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey E. Hinton, Mohammad Norouzi, Andrea Tagliasacchi:
NASA Neural Articulated Shape Approximation. ECCV (7) 2020: 612-628
[c14]
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Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. NeurIPS 2020
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Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges:
CoSE: Compositional Stroke Embeddings. NeurIPS 2020
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Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformation Flows Among 3D Shapes. NeurIPS 2020
[i23]
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Timothy Jeruzalski, David I. W. Levin, Alec Jacobson, Paul Lalonde, Mohammad Norouzi, Andrea Tagliasacchi:
NiLBS: Neural Inverse Linear Blend Skinning. CoRR abs/2004.05980 (2020)
[i22]
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Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin:
Deep Implicit Volume Compression. CoRR abs/2005.08877 (2020)
[i21]
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Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformations Among 3D Shapes. CoRR abs/2006.07982 (2020)
[i20]
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Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges:
CoSE: Compositional Stroke Embeddings. CoRR abs/2006.09930 (2020)
[i19]
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Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. CoRR abs/2007.04883 (2020)
[i18]
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Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi:
LSMAT Least Squares Medial Axis Transform. CoRR abs/2010.05066 (2020)
[i17]
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Soroosh Yazdani, Andrea Tagliasacchi:
Voronoi Convolutional Neural Networks. CoRR abs/2010.11339 (2020)
[i16]
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Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CoRR abs/2011.12490 (2020)
[i15]
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Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet:
Unsupervised part representation by Flow Capsules. CoRR abs/2011.13920 (2020)
[i14]
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Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR abs/2012.04718 (2020)
[i13]
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Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi:
Human 3D keypoints via spatial uncertainty modeling. CoRR abs/2012.10518 (2020)

2010 – 2019

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2019
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Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang, Ramanathan Muthuganapathy:
Incremental Labelling of Voronoi Vertices for Shape Reconstruction. Comput. Graph. Forum 38(1): 521-536 (2019)
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Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi:
LSMAT Least Squares Medial Axis Transform. Comput. Graph. Forum 38(6): 5-18 (2019)
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Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi:
VIPER: Volume Invariant Position-based Elastic Rods. Proc. ACM Comput. Graph. Interact. Tech. 2(2): 19:1-19:26 (2019)
[j19]
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Abhimitra Meka, Christian Häne, Rohit Pandey, Michael Zollhöfer, Sean Ryan Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, Peter Denny, Sofien Bouaziz, Peter Lincoln, Matt Whalen, Geoff Harvey, Jonathan Taylor, Shahram Izadi, Andrea Tagliasacchi, Paul E. Debevec, Christian Theobalt, Julien P. C. Valentin, Christoph Rhemann:
Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination. ACM Trans. Graph. 38(4): 77:1-77:12 (2019)
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Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen:
Multi-robot collaborative dense scene reconstruction. ACM Trans. Graph. 38(4): 84:1-84:16 (2019)
[c11]
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Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi:
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. CRV 2019: 151-158
[c10]
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Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. CVPR 2019: 9709-9718
[c9]
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Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. ICCV 2019: 2988-2997
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Andrea Tagliasacchi, Robert J. Teather:
Proceedings of the 45th Graphics Interface Conference 2019, Kingston, Ontario, Canada, May 28-31, 2019. Canadian Human-Computer Communications Society / ACM 2019, ISBN 978-0-9947868-4-5 [contents]
[i12]
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Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. CoRR abs/1901.07124 (2019)
[i11]
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Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. CoRR abs/1905.12162 (2019)
[i10]
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Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi:
VIPER: Volume Invariant Position-based Elastic Rods. CoRR abs/1906.05260 (2019)
[i9]
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Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
Attentive Context Normalization for Robust Permutation-Equivariant Learning. CoRR abs/1907.02545 (2019)
[i8]
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Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNets: Learnable Convex Decomposition. CoRR abs/1909.05736 (2019)
[i7]
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Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR abs/1911.06971 (2019)
[i6]
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Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, John P. Lewis, Geoffrey E. Hinton, Andrea Tagliasacchi:
NASA: Neural Articulated Shape Approximation. CoRR abs/1912.03207 (2019)
[i5]
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Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. CoRR abs/1912.03629 (2019)
2018
[j17]
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Adarsh Kowdle, Christoph Rhemann, Sean Ryan Fanello, Andrea Tagliasacchi, Jonathan Taylor, Philip Davidson, Mingsong Dou, Kaiwen Guo, Cem Keskin, Sameh Khamis, David Kim, Danhang Tang, Vladimir Tankovich, Julien P. C. Valentin, Shahram Izadi:
The need 4 speed in real-time dense visual tracking. ACM Trans. Graph. 37(6): 220 (2018)
[j16]
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Danhang Tang, Mingsong Dou, Peter Lincoln, Philip Davidson, Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Cem Keskin, Adarsh Kowdle, Sofien Bouaziz, Shahram Izadi, Andrea Tagliasacchi:
Real-time compression and streaming of 4D performances. ACM Trans. Graph. 37(6): 256 (2018)
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Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, Shahram Izadi:
TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking. 3DV 2018: 596-605
[c7]
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Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi:
Espresso: Efficient Forward Propagation for Binary Deep Neural Networks. ICLR (Poster) 2018
[i4]
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Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer Network. CoRR abs/1811.10725 (2018)
2017
[j15]
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Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva:
A Survey of Surface Reconstruction from Point Clouds. Comput. Graph. Forum 36(1): 301-329 (2017)
[j14]
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Baptiste Angles, Marco Tarini, Brian Wyvill, Loïc Barthe, Andrea Tagliasacchi:
Sketch-based implicit blending. ACM Trans. Graph. 36(6): 181:1-181:13 (2017)
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Anastasia Tkach, Andrea Tagliasacchi, Edoardo Remelli, Mark Pauly, Andrew W. Fitzgibbon:
Online generative model personalization for hand tracking. ACM Trans. Graph. 36(6): 243:1-243:11 (2017)
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Edoardo Remelli, Anastasia Tkach, Andrea Tagliasacchi, Mark Pauly:
Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization. ICCV 2017: 2554-2562
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Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi:
Espresso: Efficient Forward Propagation for BCNNs. CoRR abs/1705.07175 (2017)
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Sri Raghu Malireddi, Franziska Mueller, Markus Oberweger, Abhishake Kumar Bojja, Vincent Lepetit, Christian Theobalt, Andrea Tagliasacchi:
HandSeg: A Dataset for Hand Segmentation from Depth Images. CoRR abs/1711.05944 (2017)
2016
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Andrea Tagliasacchi, Thomas Delamé, Michela Spagnuolo, Nina Amenta, Alexandru C. Telea:
3D Skeletons: A State-of-the-Art Report. Comput. Graph. Forum 35(2): 573-597 (2016)
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Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi:
Sphere-meshes for real-time hand modeling and tracking. ACM Trans. Graph. 35(6): 222:1-222:11 (2016)
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Andrea Tagliasacchi, Sofien Bouaziz, Mark Pauly, Hao Li:
Modern techniques and applications for real-time non-rigid registration. SIGGRAPH ASIA Courses 2016: 11:1-11:25
2015
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Andrea Tagliasacchi, Matthias Schröder, Anastasia Tkach, Sofien Bouaziz, Mario Botsch, Mark Pauly:
Robust Articulated-ICP for Real-Time Hand Tracking. Comput. Graph. Forum 34(5): 101-114 (2015)
2014
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Yuliy Schwartzburg, Romain Testuz, Andrea Tagliasacchi, Mark Pauly:
High-contrast computational caustic design. ACM Trans. Graph. 33(4): 74:1-74:11 (2014)
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Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly:
Dynamic 2D/3D Registration. Eurographics (Tutorials) 2014: 7
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Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva:
State of the Art in Surface Reconstruction from Point Clouds. Eurographics (State of the Art Reports) 2014: 161-185
2013
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Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly:
Sparse Iterative Closest Point. Comput. Graph. Forum 32(5): 113-123 (2013)
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Andrea Tagliasacchi:
Skeletal Representations and Applications. CoRR abs/1301.6809 (2013)
2012
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Andrea Tagliasacchi, Ibraheem Alhashim, Matt Olson, Hao Zhang:
Mean Curvature Skeletons. Comput. Graph. Forum 31(5): 1735-1744 (2012)
2011
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Oliver van Kaick, Andrea Tagliasacchi, Oana Sidi, Hao Zhang, Daniel Cohen-Or, Lior Wolf, Ghassan Hamarneh:
Prior Knowledge for Part Correspondence. Comput. Graph. Forum 30(2): 553-562 (2011)
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Andrea Tagliasacchi, Matt Olson, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or:
VASE: Volume-Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds. Comput. Graph. Forum 30(5): 1563-1571 (2011)
2010
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Qian Zheng, Andrei Sharf, Andrea Tagliasacchi, Baoquan Chen, Hao Zhang, Alla Sheffer, Daniel Cohen-Or:
Consensus Skeleton for Non-rigid Space-time Registration. Comput. Graph. Forum 29(2): 635-644 (2010)
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Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Zhang, Zhixun Su:
Point Cloud Skeletons via Laplacian Based Contraction. Shape Modeling International 2010: 187-197

2000 – 2009

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2009
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Andrea Tagliasacchi, Hao Zhang, Daniel Cohen-Or:
Curve skeleton extraction from incomplete point cloud. ACM Trans. Graph. 28(3): 71 (2009)
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Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong:
Partial intrinsic reflectional symmetry of 3D shapes. ACM Trans. Graph. 28(5): 138 (2009)
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Micah J. Best, Alexandra Fedorova, Ryan Dickie, Andrea Tagliasacchi, Alex Couture-Beil, Craig Mustard, Shane Mottishaw, Aron Brown, Zhi Feng Huang, Xiaoyuan Xu, Nasser Ghazali, Andrew Brownsword:
Searching for Concurrent Design Patterns in Video Games. Euro-Par 2009: 912-923
2008
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Hao Zhang, Alla Sheffer, Daniel Cohen-Or, Quan Zhou, Oliver van Kaick, Andrea Tagliasacchi:
Deformation-Driven Shape Correspondence. Comput. Graph. Forum 27(5): 1431-1439 (2008)

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