default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStephen Lin 0001
Steve Lin 0001
Person information
- affiliation: Microsoft Research Asia, Bejin, China
- affiliation (PhD 2000): University of Michigan, USA
Other persons with the same name
- Stephen Lin — disambiguation page
- Steve Lin — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j66]Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu:
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. Trans. Mach. Learn. Res. 2024 (2024)- [c123]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CVPR 2024: 6057-6066 - [c122]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. ICLR 2024 - [i69]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. CoRR abs/2403.11120 (2024) - [i68]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CoRR abs/2406.00427 (2024) - 2023
- [j65]Yue Cao
, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6881-6895 (2023) - [j64]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. Trans. Mach. Learn. Res. 2023 (2023) - [c121]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV 2023: 16259-16270 - [c120]Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato:
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. ICCV (Workshops) 2023: 294-304 - [i67]Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai:
Associative Transformer Is A Sparse Representation Learner. CoRR abs/2309.12862 (2023) - [i66]Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu:
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining. CoRR abs/2310.07402 (2023) - [i65]Kai Qiu, Huishuai Zhang, Zhirong Wu, Stephen Lin:
Exploring Transferability for Randomized Smoothing. CoRR abs/2312.09020 (2023) - 2022
- [c119]Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin:
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. CVPR 2022: 2949-2958 - [c118]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CVPR 2022: 3192-3201 - [c117]Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin:
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CVPR 2022: 5110-5120 - [c116]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. ECCV (29) 2022: 108-126 - [c115]Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato:
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. ECCV (7) 2022: 233-249 - [c114]Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada:
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations. ECCV (17) 2022: 597-614 - [c113]Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato:
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. ECCV (19) 2022: 599-615 - [c112]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 - [i64]Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin:
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CoRR abs/2203.04287 (2022) - [i63]Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato:
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. CoRR abs/2203.06451 (2022) - [i62]Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia:
Region Rebalance for Long-Tailed Semantic Segmentation. CoRR abs/2204.01969 (2022) - [i61]Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada:
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations. CoRR abs/2204.08839 (2022) - [i60]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. CoRR abs/2206.04667 (2022) - [i59]Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato:
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. CoRR abs/2207.10123 (2022) - [i58]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. CoRR abs/2207.10866 (2022) - [i57]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. CoRR abs/2209.08742 (2022) - [i56]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pretrained Image Models Extract Universal Representations? CoRR abs/2211.02043 (2022) - [i55]Kun He, Chang Liu, Stephen Lin, John E. Hopcroft:
Local Magnification for Data and Feature Augmentation. CoRR abs/2211.07859 (2022) - [i54]Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato:
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR abs/2211.11492 (2022) - [i53]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization for Data Agnostic Representation Learning. CoRR abs/2212.08663 (2022) - 2021
- [j63]Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon:
Deep Depth from Uncalibrated Small Motion Clip. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1225-1238 (2021) - [j62]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2345-2359 (2021) - [j61]Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
ACP++: Action Co-Occurrence Priors for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 9150-9163 (2021) - [c111]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI 2021: 1863-1872 - [c110]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. AAAI 2021: 10990-10998 - [c109]Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin:
Instance Localization for Self-Supervised Detection Pretraining. CVPR 2021: 3987-3996 - [c108]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CVPR 2021: 12331-12340 - [c107]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR 2021: 16684-16693 - [c106]Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada:
Neural Articulated Radiance Field. ICCV 2021: 5742-5752 - [c105]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV 2021: 9992-10002 - [c104]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 - [c103]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. NeurIPS 2021: 11315-11325 - [c102]Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS 2021: 13137-13152 - [c101]Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin:
Aligning Pretraining for Detection via Object-Level Contrastive Learning. NeurIPS 2021: 22682-22694 - [i52]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR abs/2102.02629 (2021) - [i51]Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin:
Instance Localization for Self-supervised Detection Pretraining. CoRR abs/2102.08318 (2021) - [i50]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR abs/2103.14030 (2021) - [i49]Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada:
Neural Articulated Radiance Field. CoRR abs/2104.03110 (2021) - [i48]Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin:
Aligning Pretraining for Detection via Object-Level Contrastive Learning. CoRR abs/2106.02637 (2021) - [i47]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CoRR abs/2106.13230 (2021) - [i46]Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection. CoRR abs/2109.04047 (2021) - [i45]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. CoRR abs/2111.03056 (2021) - [i44]Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR abs/2111.06394 (2021) - [i43]Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin:
Towards Tokenized Human Dynamics Representation. CoRR abs/2111.11433 (2021) - [i42]Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin:
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. CoRR abs/2112.09690 (2021) - 2020
- [j60]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Discrete-Continuous Transformation Matching for Dense Semantic Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 59-73 (2020) - [j59]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network. IEEE Trans. Cybern. 50(7): 3358-3366 (2020) - [c100]Adrian Hilton, Zuzana Kukelova, Stephen Lin, Jun Sato:
Message from the 3DV 2020 Program Chairs. 3DV 2020: xx - [c99]Renjiao Yi, Ping Tan, Stephen Lin:
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. AAAI 2020: 12685-12692 - [c98]Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft:
Single Image Reflection Removal Through Cascaded Refinement. CVPR 2020: 3562-3571 - [c97]Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. CVPR 2020: 6947-6956 - [c96]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-local Neural Networks. ECCV (15) 2020: 191-207 - [c95]Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu:
Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) 2020: 227-244 - [c94]Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong:
Object-Based Illumination Estimation with Rendering-Aware Neural Networks. ECCV (15) 2020: 380-396 - [c93]Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin:
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach. ECCV (14) 2020: 507-523 - [c92]Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin:
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. ECCV (10) 2020: 527-544 - [c91]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - [c90]Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
Detecting Human-Object Interactions with Action Co-occurrence Priors. ECCV (21) 2020: 718-736 - [c89]Hang Gao, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. ICLR 2020 - [c88]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS 2020 - [i41]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CoRR abs/2002.05712 (2020) - [i40]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR abs/2003.08866 (2020) - [i39]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. CoRR abs/2004.06638 (2020) - [i38]Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. CoRR abs/2004.07193 (2020) - [i37]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What makes instance discrimination good for transfer learning? CoRR abs/2006.06606 (2020) - [i36]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-Local Neural Networks. CoRR abs/2006.06668 (2020) - [i35]Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin:
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. CoRR abs/2007.02846 (2020) - [i34]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints V2: Verification Meets Regression for Object Detection. CoRR abs/2007.08508 (2020) - [i33]Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
Detecting Human-Object Interactions with Action Co-occurrence Priors. CoRR abs/2007.08728 (2020) - [i32]Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin:
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach. CoRR abs/2007.09389 (2020) - [i31]Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong:
Object-based Illumination Estimation with Rendering-aware Neural Networks. CoRR abs/2008.02514 (2020) - [i30]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR abs/2011.10043 (2020) - [i29]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. CoRR abs/2012.13375 (2020)
2010 – 2019
- 2019
- [j58]Seungryong Kim, Dongbo Min, Bumsub Ham, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 581-595 (2019) - [j57]Chen Li, Kun Zhou, Hsiang-Tao Wu, Stephen Lin:
Physically-Based Simulation of Cosmetics via Intrinsic Image Decomposition with Facial Priors. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1455-1469 (2019) - [j56]Chong Cao, Feng Lu, Chen Li, Stephen Lin, Xukun Shen:
Makeup Removal via Bidirectional Tunable De-Makeup Network. IEEE Trans. Multim. 21(11): 2750-2761 (2019) - [c87]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC 2019: 262 - [c86]Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai:
Deformable ConvNets V2: More Deformable, Better Results. CVPR 2019: 9308-9316 - [c85]Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. ICCV 2019: 3463-3472 - [c84]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV 2019: 6687-6696 - [c83]Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin:
RepPoints: Point Set Representation for Object Detection. ICCV 2019: 9656-9665 - [c82]Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. ICCV Workshops 2019: 1317-1326 - [c81]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops 2019: 1971-1980 - [c80]Xiao Sun, Chuankang Li, Stephen Lin:
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose. ICCV Workshops 2019: 2825-2835 - [c79]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) 2019 - [c78]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS 2019: 1180-1186 - [i28]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. CoRR abs/1902.03585 (2019) - [i27]Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin:
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. CoRR abs/1903.11248 (2019) - [i26]Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. CoRR abs/1904.05873 (2019) - [i25]Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin:
RepPoints: Point Set Representation for Object Detection. CoRR abs/1904.11490 (2019) - [i24]Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. CoRR abs/1904.11491 (2019) - [i23]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR abs/1904.11492 (2019) - [i22]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR abs/1905.00538 (2019) - [i21]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR abs/1909.06979 (2019) - [i20]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR abs/1909.06999 (2019) - [i19]Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai:
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. CoRR abs/1910.02940 (2019) - [i18]Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft:
Single Image Reflection Removal through Cascaded Refinement. CoRR abs/1911.06634 (2019) - [i17]Renjiao Yi, Ping Tan, Stephen Lin:
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. CoRR abs/1911.07262 (2019) - [i16]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Instance-wise Depth and Motion Learning from Monocular Videos. CoRR abs/1912.09351 (2019) - [i15]Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu:
Dense RepPoints: Representing Visual Objects with Dense Point Sets. CoRR abs/1912.11473 (2019) - 2018
- [j55]Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin:
Exposure: A White-Box Photo Post-Processing Framework. ACM Trans. Graph. 37(2): 26 (2018) - [c77]Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown:
A High-Quality Denoising Dataset for Smartphone Cameras. CVPR 2018: 1692-1700 - [c76]Renjiao Yi, Chenyang Zhu, Ping Tan, Stephen Lin:
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction. ECCV (9) 2018: 321-338 - [c75]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. MICCAI (2) 2018: 356-363 - [c74]Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, Seungryong Kim:
CoVieW'18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild. ACM Multimedia 2018: 2113-2115 - [c73]Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn:
Recurrent Transformer Networks for Semantic Correspondence. NeurIPS 2018: 6129-6139 - [e2]Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin:
Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, CoVieW@MM 2018, Seoul, Republic of Korea, October 22, 2018. ACM 2018, ISBN 978-1-4503-5976-4 [contents] - [i14]Renjiao Yi, Chenyang Zhu, Ping Tan, Stephen Lin:
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction. CoRR abs/1803.06340 (2018) - [i13]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. CoRR abs/1809.03239 (2018) - [i12]Xiao Sun, Chuankang Li, Stephen Lin:
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge. CoRR abs/1809.06079 (2018) - [i11]Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn:
Recurrent Transformer Networks for Semantic Correspondence. CoRR abs/1810.12155 (2018) - [i10]Xiao Sun, Chuankang Li, Stephen Lin:
Explicit Pose Deformation Learning for Tracking Human Poses. CoRR abs/1811.07123 (2018) - [i9]Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai:
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. CoRR abs/1811.11167 (2018) - [i8]Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai:
Deformable ConvNets v2: More Deformable, Better Results. CoRR abs/1811.11168 (2018) - [i7]Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. CoRR abs/1812.08781 (2018) - 2017
- [j54]Mahdi Jampour, Chen Li, Lap-Fai Yu, Kun Zhou, Stephen Lin, Horst Bischof:
Face inpainting based on high-level facial attributes. Comput. Vis. Image Underst. 161: 29-41 (2017) - [j53]Huazhu Fu, Dong Xu, Stephen Lin:
Object-Based Multiple Foreground Segmentation in RGBD Video. IEEE Trans. Image Process. 26(3): 1418-1427 (2017) - [j52]Huazhu Fu, Yanwu Xu, Stephen Lin, Xiaoqin Zhang, Damon Wing Kee Wong, Jiang Liu, Alejandro F. Frangi, Mani Baskaran, Tin Aung:
Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT. IEEE Trans. Medical Imaging 36(9): 1930-1938 (2017) - [c72]Yuanming Hu, Baoyuan Wang, Stephen Lin:
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling. CVPR 2017: 330-339 - [c71]Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CVPR 2017: 616-625 - [c70]Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Radiometric Calibration from Faces in Images. CVPR 2017: 1695-1704 - [c69]Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Specular Highlight Removal in Facial Images. CVPR 2017: 2780-2789 - [c68]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. ICCV 2017: 4539-4548 - [i6]Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CoRR abs/1702.00926 (2017) - [i5]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. CoRR abs/1707.05471 (2017) - [i4]Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin:
Exposure: A White-Box Photo Post-Processing Framework. CoRR abs/1709.09602 (2017) - 2016
- [j51]Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, David J. Brady:
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world. IEEE Signal Process. Mag. 33(5): 95-108 (2016) - [j50]Chen Li, Shuochen Su, Yasuyuki Matsushita, Kun Zhou, Stephen Lin:
Bayesian Depth-From-Defocus With Shading Constraints. IEEE Trans. Image Process. 25(2): 589-600 (2016) - [c67]Zhe Hu, Lu Yuan, Stephen Lin, Ming-Hsuan Yang:
Image Deblurring Using Smartphone Inertial Sensors. CVPR 2016: 1855-1864 - [c66]Seungryong Kim, Kihong Park, Kwanghoon Sohn, Stephen Lin:
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields. ECCV (8) 2016: 143-159 - [c65]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence. ECCV (8) 2016: 679-695 - [c64]Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu:
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field. MICCAI (2) 2016: 132-139 - [i3]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Deep Self-Convolutional Activations Descriptor for Dense Cross-Modal Correspondence. CoRR abs/1603.06327 (2016) - [i2]Seungryong Kim, Kihong Park, Kwanghoon Sohn, Stephen Lin:
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields. CoRR abs/1603.06359 (2016) - 2015
- [j49]Jianzhou Yan, Stephen Lin, Sing Bing Kang, Xiaoou Tang:
Change-Based Image Cropping with Exclusion and Compositional Features. Int. J. Comput. Vis. 114(1): 74-87 (2015) - [j48]Huazhu Fu, Dong Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu:
Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction. IEEE Trans. Biomed. Eng. 62(4): 1151-1158 (2015) - [j47]Xinting Gao, Stephen Lin, Tien Yin Wong:
Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning. IEEE Trans. Biomed. Eng. 62(11): 2693-2701 (2015) - [j46]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. IEEE Trans. Cybern. 45(3): 395-404 (2015) - [j45]Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, Rabab K. Ward:
Object-Based Multiple Foreground Video Co-Segmentation via Multi-State Selection Graph. IEEE Trans. Image Process. 24(11): 3415-3424 (2015) - [j44]Peiran Ren, Yue Dong, Stephen Lin, Xin Tong, Baining Guo:
Image based relighting using neural networks. ACM Trans. Graph. 34(4): 111:1-111:12 (2015) - [c63]Chen Li, Lap-Fai Yu, Zhichao Lu, Yasuyuki Matsushita, Kun Zhou, Stephen Lin:
Continuous Symmetric Stereo with Adaptive Outlier Handling. 3DV 2015: 162-170 - [c62]Wangjiang Zhu, Baoyuan Wang, Stephen Lin:
Adaptive pooling over multiple trajectory attributes for action recognition. AVSS 2015: 1-6 - [c61]HyeokHyen Kwon, Yu-Wing Tai, Stephen Lin:
Data-driven depth map refinement via multi-scale sparse representation. CVPR 2015: 159-167 - [c60]Huazhu Fu, Dong Xu, Stephen Lin, Jiang Liu:
Object-based RGBD image co-segmentation with mutex constraint. CVPR 2015: 4428-4436 - [c59]Chen Li, Kun Zhou, Stephen Lin:
Simulating makeup through physics-based manipulation of intrinsic image layers. CVPR 2015: 4621-4629 - [c58]Huan Yang, Baoyuan Wang, Stephen Lin, David P. Wipf, Minyi Guo, Baining Guo:
Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders. ICCV 2015: 4633-4641 - [i1]Huan Yang, Baoyuan Wang, Stephen Lin, David P. Wipf, Minyi Guo, Baining Guo:
Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders. CoRR abs/1510.01442 (2015) - 2014
- [j43]Chenguang Ma, Xun Cao, Xin Tong, Qionghai Dai, Stephen Lin:
Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System. Int. J. Comput. Vis. 110(2): 141-155 (2014) - [c57]Xinting Gao, Stephen Lin, Tien Yin Wong:
Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning. ACCV (2) 2014: 632-642 - [c56]Jianzhou Yan, Stephen Lin, Sing Bing Kang, Xiaoou Tang:
A Learning-to-Rank Approach for Image Color Enhancement. CVPR 2014: 2987-2994 - [c55]Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin:
Object-Based Multiple Foreground Video Co-segmentation. CVPR 2014: 3166-3173 - [c54]Heesoo Myeong, Stephen Lin, Kyoung Mu Lee:
Alpha Matting of Motion-Blurred Objects in Bracket Sequence Images. ECCV (3) 2014: 125-139 - [c53]Chen Li, Kun Zhou, Stephen Lin:
Intrinsic Face Image Decomposition with Human Face Priors. ECCV (5) 2014: 218-233 - [c52]Naimul Mefraz Khan, Stephen Lin, Ling Guan, Baining Guo:
A Visual Evaluation Framework for In-Home Physical Rehabilitation. ISM 2014: 237-240 - [c51]Yanwu Xu, Lixin Duan, Stephen Lin, Xiangyu Chen, Damon Wing Kee Wong, Tien Yin Wong, Jiang Liu:
Optic Cup Segmentation for Glaucoma Detection Using Low-Rank Superpixel Representation. MICCAI (1) 2014: 788-795 - [r4]Stephen Lin:
Calibration of Radiometric Falloff (Vignetting). Computer Vision, A Reference Guide 2014: 74-76 - [r3]Stephen Lin:
Fluorescent Lighting. Computer Vision, A Reference Guide 2014: 301-302 - [r2]Stephen Lin:
Illumination Estimation, Illuminant Estimation. Computer Vision, A Reference Guide 2014: 371-373 - [r1]Stephen Lin:
Incident Light Measurement. Computer Vision, A Reference Guide 2014: 400-401 - 2013
- [j42]Yuanjie Zheng, Stephen Lin, Sing Bing Kang, Rui Xiao, James C. Gee, Chandra Kambhamettu:
Single-Image Vignetting Correction from Gradient Distribution Symmetries. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1480-1494 (2013) - [j41]Chen Cao, Yanlin Weng, Stephen Lin, Kun Zhou:
3D shape regression for real-time facial animation. ACM Trans. Graph. 32(4): 41:1-41:10 (2013) - [j40]Peiran Ren, Jiaping Wang, Minmin Gong, Stephen Lin, Xin Tong, Baining Guo:
Global illumination with radiance regression functions. ACM Trans. Graph. 32(4): 130:1-130:12 (2013) - [j39]Dongping Li, Xin Sun, Zhong Ren, Stephen Lin, Yiying Tong, Baining Guo, Kun Zhou:
TransCut: Interactive Rendering of Translucent Cutouts. IEEE Trans. Vis. Comput. Graph. 19(3): 484-494 (2013) - [j38]Yanxiang Lan, Jiaping Wang, Stephen Lin, Minmin Gong, Xin Tong, Baining Guo:
Interactive chromaticity mapping for multispectral images. Vis. Comput. 29(6-8): 773-783 (2013) - [c50]Chen Li, Shuochen Su, Yasuyuki Matsushita, Kun Zhou, Stephen Lin:
Bayesian Depth-from-Defocus with Shading Constraints. CVPR 2013: 217-224 - [c49]Jianzhou Yan, Stephen Lin, Sing Bing Kang, Xiaoou Tang:
Learning the Change for Automatic Image Cropping. CVPR 2013: 971-978 - [c48]Lap-Fai Yu, Sai Kit Yeung, Yu-Wing Tai, Stephen Lin:
Shading-Based Shape Refinement of RGB-D Images. CVPR 2013: 1415-1422 - [c47]Huiying Liu, Dong Xu, Qingming Huang, Wen Li, Min Xu, Stephen Lin:
Semantically-Based Human Scanpath Estimation with HMMs. ICCV 2013: 3232-3239 - [c46]Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Dong Xu:
Efficient Reconstruction-Based Optic Cup Localization for Glaucoma Screening. MICCAI (3) 2013: 445-452 - [c45]Yanwu Xu, Xinting Gao, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Dong Xu, Ching Yu Cheng, Carol Yim-lui Cheung, Tien Yin Wong:
Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression. MICCAI (2) 2013: 468-475 - [c44]Tsuyoshi Takatani, Yasuyuki Matsushita, Stephen Lin, Yasuhiro Mukaigawa, Yasushi Yagi:
Enhanced Photometric Stereo with Multispectral Images. MVA 2013: 343-346 - 2012
- [j37]Qi Zhao, Ping Tan, Qiang Dai, Li Shen, Enhua Wu, Stephen Lin:
A Closed-Form Solution to Retinex with Nonlocal Texture Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1437-1444 (2012) - [j36]Seon Joo Kim, Hai Ting Lin, Zheng Lu, Sabine Süsstrunk, Stephen Lin, Michael S. Brown:
A New In-Camera Imaging Model for Color Computer Vision and Its Application. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2289-2302 (2012) - [j35]Xin Sun, Guofu Xie, Yue Dong, Stephen Lin, Weiwei Xu, Wencheng Wang, Xin Tong, Baining Guo:
Diffusion curve textures for resolution independent texture mapping. ACM Trans. Graph. 31(4): 74:1-74:9 (2012) - [j34]Yanwu Xu, Dong Xu, Stephen Lin, Tony X. Han, Xianbin Cao, Xuelong Li:
Detection of Sudden Pedestrian Crossings for Driving Assistance Systems. IEEE Trans. Syst. Man Cybern. Part B 42(3): 729-739 (2012) - [c43]Yu-Wing Tai, Stephen Lin:
Motion-aware noise filtering for deblurring of noisy and blurry images. CVPR 2012: 17-24 - [c42]Kyong Joon Lee, Qi Zhao, Xin Tong, Minmin Gong, Shahram Izadi, Sang Uk Lee, Ping Tan, Stephen Lin:
Estimation of Intrinsic Image Sequences from Image+Depth Video. ECCV (6) 2012: 327-340 - [c41]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. ECCV (4) 2012: 473-487 - [c40]Chen Li, Kun Zhou, Stephen Lin:
Removal of dust artifacts in focal stack image sequences. ICPR 2012: 2602-2605 - [c39]Yanwu Xu, Jiang Liu, Stephen Lin, Dong Xu, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong:
Efficient Optic Cup Detection from Intra-image Learning with Retinal Structure Priors. MICCAI (1) 2012: 58-65 - [c38]Zhenglong Zhou, Bo Shu, Shaojie Zhuo, Xiaoming Deng, Ping Tan, Stephen Lin:
Image-based clothes animation for virtual fitting. SIGGRAPH Asia Technical Briefs 2012: 33:1-33:4 - 2011
- [j33]Changyin Zhou, Stephen Lin, Shree K. Nayar:
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring. Int. J. Comput. Vis. 93(1): 53-72 (2011) - [j32]Xun Cao, Hao Du, Xin Tong, Qionghai Dai, Stephen Lin:
A Prism-Mask System for Multispectral Video Acquisition. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2423-2435 (2011) - [j31]Alex Yong Sang Chia, Shaojie Zhuo, Raj Kumar Gupta, Yu-Wing Tai, Siu-Yeung Cho, Ping Tan, Stephen Lin:
Semantic colorization with internet images. ACM Trans. Graph. 30(6): 156 (2011) - [c37]Xun Cao, Xin Tong, Qionghai Dai, Stephen Lin:
High resolution multispectral video capture with a hybrid camera system. CVPR 2011: 297-304 - [c36]Yanwu Xu, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong:
Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. MICCAI (3) 2011: 1-8 - 2010
- [j30]Toshikazu Wada, Fay Huang, Stephen Lin:
Message from the Guest Editors-In-Chief. IPSJ Trans. Comput. Vis. Appl. 2: 15 (2010) - [j29]Yu-Wing Tai, Hao Du, Michael S. Brown, Stephen Lin:
Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1012-1028 (2010) - [j28]Xin Sun, Kun Zhou, Stephen Lin, Baining Guo:
Line space gathering for single scattering in large scenes. ACM Trans. Graph. 29(4): 54:1-54:8 (2010) - [c35]Yu-Wing Tai, Shuaicheng Liu, Michael S. Brown, Stephen Lin:
Super resolution using edge prior and single image detail synthesis. CVPR 2010: 2400-2407 - [c34]Yu-Wing Tai, Naejin Kong, Stephen Lin, Sung Yong Shin:
Coded exposure imaging for projective motion deblurring. CVPR 2010: 2408-2415
2000 – 2009
- 2009
- [j27]Yu-Wing Tai, Huixuan Tang, Michael S. Brown, Stephen Lin:
Detail Recovery for Single-image Defocus Blur. IPSJ Trans. Comput. Vis. Appl. 1: 95-104 (2009) - [j26]Dong Xu, Shuicheng Yan, Stephen Lin, Thomas S. Huang, Shih-Fu Chang:
Enhancing Bilinear Subspace Learning by Element Rearrangement. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1913-1920 (2009) - [j25]Yuanjie Zheng, Stephen Lin, Chandra Kambhamettu, Jingyi Yu, Sing Bing Kang:
Single-Image Vignetting Correction. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2243-2256 (2009) - [c33]Yuanjie Zheng, Chandra Kambhamettu, Stephen Lin:
Single-image optical center estimation from vignetting and tangential gradient symmetry. CVPR 2009: 2058-2065 - [c32]Hao Du, Xin Tong, Xun Cao, Stephen Lin:
A prism-based system for multispectral video acquisition. ICCV 2009: 175-182 - [c31]Changyin Zhou, Stephen Lin, Shree K. Nayar:
Coded aperture pairs for depth from defocus. ICCV 2009: 325-332 - [e1]Toshikazu Wada, Fay Huang, Stephen Lin:
Advances in Image and Video Technology, Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings. Lecture Notes in Computer Science 5414, Springer 2009, ISBN 978-3-540-92956-7 [contents] - 2008
- [j24]Zhong Ren, Kun Zhou, Stephen Lin, Baining Guo:
Gradient-based Interpolation and Sampling for Real-time Rendering of Inhomogeneous, Single-scattering Media. Comput. Graph. Forum 27(7): 1945-1953 (2008) - [j23]Huiqiong Wang, Stephen Lin, Xiuqing Ye, Weikang Gu:
Separating corneal reflections for illumination estimation. Neurocomputing 71(10-12): 1788-1797 (2008) - [j22]Ping Tan, Stephen Lin, Long Quan:
Subpixel Photometric Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1460-1471 (2008) - [j21]Dong Xu, Shuicheng Yan, Lei Zhang, Stephen Lin, Hong-Jiang Zhang, Thomas S. Huang:
Reconstruction and Recognition of Tensor-Based Objects With Concurrent Subspaces Analysis. IEEE Trans. Circuits Syst. Video Technol. 18(1): 36-47 (2008) - [j20]Dong Xu, Shuicheng Yan, Stephen Lin, Thomas S. Huang:
Convergent 2-D Subspace Learning With Null Space Analysis. IEEE Trans. Circuits Syst. Video Technol. 18(12): 1753-1759 (2008) - [j19]Jiaping Wang, Shuang Zhao, Xin Tong, Stephen Lin, Zhouchen Lin, Yue Dong, Baining Guo, Heung-Yeung Shum:
Modeling and rendering of heterogeneous translucent materials using the diffusion equation. ACM Trans. Graph. 27(1): 9:1-9:18 (2008) - [j18]Kun Zhou, Zhong Ren, Stephen Lin, Hujun Bao, Baining Guo, Heung-Yeung Shum:
Real-time smoke rendering using compensated ray marching. ACM Trans. Graph. 27(3): 36 (2008) - [j17]Xiaopei Liu, Liang Wan, Yingge Qu, Tien-Tsin Wong, Stephen Lin, Chi-Sing Leung, Pheng-Ann Heng:
Intrinsic colorization. ACM Trans. Graph. 27(5): 152 (2008) - [j16]Xuelong Li, Stephen Lin, Shuicheng Yan, Dong Xu:
Discriminant Locally Linear Embedding With High-Order Tensor Data. IEEE Trans. Syst. Man Cybern. Part B 38(2): 342-352 (2008) - [j15]Ping Tan, Stephen Lin, Long Quan, Baining Guo, Harry Shum:
Filtering and Rendering of Resolution-Dependent Reflectance Models. IEEE Trans. Vis. Comput. Graph. 14(2): 412-425 (2008) - [c30]Li Shen, Ping Tan, Stephen Lin:
Intrinsic image decomposition with non-local texture cues. CVPR 2008 - [c29]Yu-Wing Tai, Hao Du, Michael S. Brown, Stephen Lin:
Image/video deblurring using a hybrid camera. CVPR 2008 - [c28]Yuanjie Zheng, Jingyi Yu, Sing Bing Kang, Stephen Lin, Chandra Kambhamettu:
Single-image vignetting correction using radial gradient symmetry. CVPR 2008 - 2007
- [j14]Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zhang, Qiang Yang, Stephen Lin:
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 40-51 (2007) - [j13]Dong Xu, Shuicheng Yan, Dacheng Tao, Stephen Lin, Hong-Jiang Zhang:
Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval. IEEE Trans. Image Process. 16(11): 2811-2821 (2007) - [j12]Xin Sun, Kun Zhou, Yanyun Chen, Stephen Lin, Jiaoying Shi, Baining Guo:
Interactive relighting with dynamic BRDFs. ACM Trans. Graph. 26(3): 27 (2007) - [j11]Dong Xu, Stephen Lin, Shuicheng Yan, Xiaoou Tang:
Rank-One Projections With Adaptive Margins for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1226-1236 (2007) - [c27]Yasuyuki Matsushita, Stephen Lin:
A Probabilistic Intensity Similarity Measure based on Noise Distributions. CVPR 2007 - [c26]Yasuyuki Matsushita, Stephen Lin:
Radiometric Calibration from Noise Distributions. CVPR 2007 - [c25]Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Huang, Shih-Fu Chang:
Element Rearrangement for Tensor-Based Subspace Learning. CVPR 2007 - [c24]Changyin Zhou, Stephen Lin:
Removal of Image Artifacts Due to Sensor Dust. CVPR 2007 - 2006
- [j10]Jiaping Wang, Xin Tong, Stephen Lin, Minghao Pan, Chao Wang, Hujun Bao, Baining Guo, Heung-Yeung Shum:
Appearance manifolds for modeling time-variant appearance of materials. ACM Trans. Graph. 25(3): 754-761 (2006) - [j9]Jiaping Wang, Kun Xu, Kun Zhou, Stephen Lin, Shi-Min Hu, Baining Guo:
Spherical harmonics scaling. Vis. Comput. 22(9-11): 713-720 (2006) - [c23]Dong Xu, Stephen Lin, Shuicheng Yan, Xiaoou Tang:
Rank-one Projections with Adaptive Margins for Face Recognition. CVPR (1) 2006: 175-181 - [c22]Yuanjie Zheng, Stephen Lin, Sing Bing Kang:
Single-Image Vignetting Correction. CVPR (1) 2006: 461-468 - [c21]Ping Tan, Long Quan, Stephen Lin:
Separation of Highlight Reflections on Textured Surfaces. CVPR (2) 2006: 1855-1860 - [c20]Ping Tan, Stephen Lin, Long Quan:
Resolution-Enhanced Photometric Stereo. ECCV (3) 2006: 58-71 - 2005
- [j8]Xin Tong, Jiaping Wang, Stephen Lin, Baining Guo, Heung-Yeung Shum:
Modeling and rendering of quasi-homogeneous materials. ACM Trans. Graph. 24(3): 1054-1061 (2005) - [j7]Kun Zhou, Yaohua Hu, Stephen Lin, Baining Guo, Heung-Yeung Shum:
Precomputed shadow fields for dynamic scenes. ACM Trans. Graph. 24(3): 1196-1201 (2005) - [j6]Lifeng Wang, Stephen Lin, Seungyong Lee, Baining Guo, Heung-Yeung Shum:
Light Field Morphing Using 2D Features. IEEE Trans. Vis. Comput. Graph. 11(1): 25-34 (2005) - [j5]Ying Song, Yanyun Chen, Xin Tong, Stephen Lin, Jiaoying Shi, Baining Guo, Heung-Yeung Shum:
Shell radiance texture functions. Vis. Comput. 21(8-10): 774-782 (2005) - [c19]Huiqiong Wang, Stephen Lin, Xiaopei Liu, Sing Bing Kang:
Separating Reflections in Human Iris Images for Illumination Estimation. ICCV 2005: 1691-1698 - [c18]Ping Tan, Stephen Lin, Long Quan, Baining Guo, Heung-Yeung Shum:
Multiresolution Reflectance Filtering. Rendering Techniques 2005: 111-116 - 2004
- [j4]Yasuyuki Matsushita, Stephen Lin, Heung-Yeung Shum, Xin Tong, Sing Bing Kang:
Lighting And Shadow Interpolation Using Intrinsic Lumigraphs. Int. J. Image Graph. 4(4): 585-604 (2004) - [j3]Yanyun Chen, Xin Tong, Jiaping Wang, Stephen Lin, Baining Guo, Heung-Yeung Shum:
Shell texture functions. ACM Trans. Graph. 23(3): 343-353 (2004) - [c17]Stephen Lin, Jinwei Gu, Shuntaro Yamazaki, Heung-Yeung Shum:
Radiometric Calibration from a Single Image. CVPR (2) 2004: 938-945 - [c16]Yasuyuki Matsushita, Stephen Lin, Sing Bing Kang, Heung-Yeung Shum:
Estimating Intrinsic Images from Image Sequences with Biased Illumination. ECCV (2) 2004: 274-286 - [c15]Yuchi Huang, Stephen Lin, Stan Z. Li, Hanqing Lu, Heung-Yeung Shum:
Face Alignment Under Variable Illumination. FGR 2004: 85-90 - [c14]Lei Wang, Boyi Zeng, Steve Lin, Guangyou Xu, Heung-Yeung Shum:
Automatic extraction of semantic colors in sports video. ICASSP (3) 2004: 617-620 - [c13]Wenle Wang, Lifeng Wang, Stephen Lin, Jianmin Wang, Baining Guo:
Real-time environment map interpolation. ICIG 2004: 382-389 - [c12]Lei Wang, Xu Liu, Steve Lin, Guangyou Xu, Heung-Yeung Shum:
Generic slow-motion replay detection in sports video. ICIP 2004: 1585-1588 - [c11]Yuchi Huang, Stephen Lin, Hanqing Lu, Heung-Yeung Shum:
Face alignment using intrinsic information. ICIP 2004: 3307-3310 - [c10]Xi Wang, Xin Tong, Stephen Lin, Shi-Min Hu, Baining Guo, Heung-Yeung Shum:
Generalized Displacement Maps. Rendering Techniques 2004: 227-234 - 2003
- [j2]Lifeng Wang, Xi Wang, Xin Tong, Stephen Lin, Shi-Min Hu, Baining Guo, Heung-Yeung Shum:
View-dependent displacement mapping. ACM Trans. Graph. 22(3): 334-339 (2003) - [j1]Yanyun Chen, Stephen Lin, Hua Zhong, Ying-Qing Xu, Baining Guo, Heung-Yeung Shum:
Realistic Rendering and Animation of Knitwear. IEEE Trans. Vis. Comput. Graph. 9(1): 43-55 (2003) - [c9]Ping Tan, Stephen Lin, Long Quan, Heung-Yeung Shum:
Highlight Removal by Illumination-Constrained Inpainting. ICCV 2003: 164-169 - [c8]Yuanzhen Li, Stephen Lin, Hanqing Lu, Heung-Yeung Shum:
Multiple-cue Illumination Estimation in Textured Scenes. ICCV 2003: 1366-1373 - 2002
- [c7]Stephen Lin, Yuanzhen Li, Sing Bing Kang, Xin Tong, Heung-Yeung Shum:
Diffuse-Specular Separation and Depth Recovery from Image Sequences. ECCV (3) 2002: 210-224 - [c6]Yuanzhen Li, Stephen Lin, Hanqing Lu, Sing Bing Kang, Heung-Yeung Shum:
Multibaseline Stereo in the Presence of Specular Reflections. ICPR (3) 2002: 573-576 - [c5]Dae Woong Kim, Stephen Lin, Ki-Sang Hong, Heung-Yeung Shum:
Variational Specular Separation Using Color and Polarization. MVA 2002: 176-179 - [c4]Yasuyuki Matsushita, Sing Bing Kang, Stephen Lin, Heung-Yeung Shum, Xin Tong:
Lighting Interpolation by Shadow Morphing Using Intrinsic Lumigraphs. PG 2002: 58-67 - [c3]Yuanzhen Li, Stephen Lin, Sing Bing Kang, Hanqing Lu, Heung-Yeung Shum:
Single-Image Reflectance Estimation for Relighting by Iterative Soft Grouping. PG 2002: 483 - 2001
- [c2]Stephen Lin, Heung-Yeung Shum:
Separation of Diffuse and Specular Reflection in Color Images. CVPR (1) 2001: 341-346 - [c1]Ying-Qing Xu, Yanyun Chen, Stephen Lin, Hua Zhong, Enhua Wu, Baining Guo, Heung-Yeung Shum:
Photorealistic rendering of knitwear using the lumislice. SIGGRAPH 2001: 391-398 - 2000
- [b1]Stephen Lin:
Photometric modeling of specular and diffuse appearance. University of Michigan, USA, 2000
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 21:03 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
