Stephen Lin

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 111

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Jie Zhang, Yuhan Li, Yude Wang, Stephen Lin, Shiguang Shan
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data. CoRR (2024)
Jie Zhang, Zhifan Wan, Lanqing Hu, Stephen Lin, Shuzhe Wu, Shiguang Shan
Collaboratively Self-supervised Video Representation Learning for Action Recognition. CoRR (2024)
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
Distilling Localization for Self-Supervised Representation Learning. AAAI (2021)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. CoRR (2021)
Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin
Instance Localization for Self-supervised Detection Pretraining. CoRR (2021)
Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin
Instance Localization for Self-Supervised Detection Pretraining. CVPR (2021)
Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin
Towards Tokenized Human Dynamics Representation. CoRR (2021)
Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR (2021)
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
Cross-Iteration Batch Normalization. CVPR (2021)
Jordi Silvestre-Ryan, Yujie Wang, Mehak Sharma, Stephen Lin, Yolanda Shen, Shihab Dider, Ian H. Holmes
Machine Boss: rapid prototyping of bioinformatic automata. Bioinform. 37 (1) (2021)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CoRR (2021)
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 (2021)
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
Aligning Pretraining for Detection via Object-Level Contrastive Learning. CoRR (2021)
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
Neural Articulated Radiance Field. CoRR (2021)
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
What Makes Instance Discrimination Good for Transfer Learning? ICLR (2021)
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) (2021)
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon
ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection. CoRR (2021)
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) (2021)
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 (2021)
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 (2021)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI (2021)
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)
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 (2020)
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
Cross-Iteration Batch Normalization. CoRR (2020)
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)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS (2020)
Adrian Hilton, Zuzana Kukelova, Stephen Lin, Jun Sato
Message from the 3DV 2020 Program Chairs. 3DV (2020)
Hang Gao, Xizhou Zhu, Stephen Lin, Jifeng Dai
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. ICLR (2020)
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon
Detecting Human-Object Interactions with Action Co-occurrence Priors. ECCV (21) (2020)
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
What makes instance discrimination good for transfer learning? CoRR (2020)
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
Distilling Localization for Self-Supervised Representation Learning. CoRR (2020)
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)
Renjiao Yi, Ping Tan, Stephen Lin
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. AAAI (2020)
Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong
Object-Based Illumination Estimation with Rendering-Aware Neural Networks. ECCV (15) (2020)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. CoRR (2020)
Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
A Transductive Approach for Video Object Segmentation. CVPR (2020)
Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong
Object-based Illumination Estimation with Rendering-aware Neural Networks. CoRR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints V2: Verification Meets Regression for Object Detection. CoRR (2020)
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-local Neural Networks. ECCV (15) (2020)
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR (2020)
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon
Detecting Human-Object Interactions with Action Co-occurrence Priors. CoRR (2020)
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR (2020)
Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. CoRR (2020)
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
Single Image Reflection Removal Through Cascaded Refinement. CVPR (2020)
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) (2020)
Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn
Discrete-Continuous Transformation Matching for Dense Semantic Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. ECCV (10) (2020)
Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
A Transductive Approach for Video Object Segmentation. CoRR (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-Local Neural Networks. CoRR (2020)
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. CoRR (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR (2019)
Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
Deformable ConvNets V2: More Deformable, Better Results. CVPR (2019)
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) (2019)
Stephen Lin, Jinhui Yan, Dmitriy Kats, Gregory J. Wagner
A volume-conserving balanced-force level set method on unstructured meshes using a control volume finite element formulation. J. Comput. Phys. 380 (2019)
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
Single Image Reflection Removal through Cascaded Refinement. CoRR (2019)
Chong Cao, Feng Lu, Chen Li, Stephen Lin, Xukun Shen
Makeup Removal via Bidirectional Tunable De-Makeup Network. IEEE Trans. Multim. 21 (11) (2019)
Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin
Local Relation Networks for Image Recognition. CoRR (2019)
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 (2019)
Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. CoRR (2019)
Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin
Local Relation Networks for Image Recognition. ICCV (2019)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. ICCV Workshops (2019)
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) (2019)
Xiao Sun, Chuankang Li, Stephen Lin
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose. ICCV Workshops (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS (2019)
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 (2019)
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV (2019)
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Instance-wise Depth and Motion Learning from Monocular Videos. CoRR (2019)
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
RepPoints: Point Set Representation for Object Detection. ICCV (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops (2019)
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 (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR (2019)
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
RepPoints: Point Set Representation for Object Detection. CoRR (2019)
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR (2019)
Renjiao Yi, Ping Tan, Stephen Lin
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. CoRR (2019)
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)
Xiao Sun, Chuankang Li, Stephen Lin
Explicit Pose Deformation Learning for Tracking Human Poses. CoRR (2018)
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 (2018)
Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown
A High-Quality Denoising Dataset for Smartphone Cameras. CVPR (2018)
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Exposure: A White-Box Photo Post-Processing Framework. ACM Trans. Graph. 37 (2) (2018)
Xiao Sun, Chuankang Li, Stephen Lin
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge. CoRR (2018)
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)
Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. CoRR (2018)
Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn
Recurrent Transformer Networks for Semantic Correspondence. CoRR (2018)
Renjiao Yi, Chenyang Zhu, Ping Tan, Stephen Lin
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction. CoRR (2018)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. CoRR (2018)
Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn
Recurrent Transformer Networks for Semantic Correspondence. NeurIPS (2018)
Renjiao Yi, Chenyang Zhu, Ping Tan, Stephen Lin
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction. ECCV (9) (2018)
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)
Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
Deformable ConvNets v2: More Deformable, Better Results. CoRR (2018)
Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CoRR (2017)
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 (2017)
Yuanming Hu, Baoyuan Wang, Stephen Lin
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling. CVPR (2017)
Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi
Radiometric Calibration from Faces in Images. CVPR (2017)
Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. ICCV (2017)
Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CVPR (2017)
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Exposure: A White-Box Photo Post-Processing Framework. CoRR (2017)
Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephen Lin