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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
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2020 – today
- 2026
[c126]Huimin Wu, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
A Study of Finetuning Video Transformers for Multi-view Geometry Tasks. AAAI 2026: 10646-10654- 2025
- [j67]Qi Chen
, Chao Li, Jia Ning, Stephen Lin, Kun He:
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6669-6678 (2025) - [c125]Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai:
Associative Transformer. CVPR 2025: 4518-4527 - [c124]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME 2025: 1-6 - [i71]Sicheng Xu, Guojun Chen, Jiaolong Yang, Yizhong Zhang, Yu Deng, Stephen Lin, Baining Guo:
VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image. CoRR abs/2512.14677 (2025) - [i70]Huimin Wu, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
A Study of Finetuning Video Transformers for Multi-view Geometry Tasks. CoRR abs/2512.18684 (2025) - 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: Article 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: I: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
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last updated on 2026-04-19 00:12 CEST by the dblp team
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