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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
- 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]