Stephen Lin

Microsoft Research Asia

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Steve joined Microsoft Research Asia in June 2000. His research is in the fields of computer vision and computer graphics, with particular interests in image processing, photometric analysis, and computational photography.

Papers163 papers

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A conservative level set method on unstructured meshes for modeling multiphase thermo-fluid flow in additive manufacturing processes

Stephen Lin, Zhengtao Gan, Jinhui Yan,Gregory J. Wagner

Computer Methods in Applied Mechanics and Engineering, (2020): 113348

Bibtex

Global Context Networks

Yue Cao,Jiarui Xu,Stephen Lin,Fangyun Wei,Han Hu

IEEE transactions on pattern analysis and machine intelligence, (2020)

WOSBibtex

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao,Stephen Lin, Han Hu

Bibtex

Object-based Illumination Estimation with Rendering-aware Neural Networks

Xin Wei, Guojun Chen,Yue Dong,Stephen Lin,Xin Tong

european conference on computer vision, pp.380-396, (2020)

Bibtex

Detecting Human-Object Interactions with Action Co-occurrence Priors

Dong-Jin Kim,Xiao Sun, Jinsoo Choi,Stephen Lin,In So Kweon

european conference on computer vision, pp.718-736, (2020)

Bibtex

RepPoints V2: Verification Meets Regression for Object Detection

Yihong Chen,Zheng Zhang,Yue Cao,Liwei Wang,Stephen Lin,Han Hu

NIPS 2020, (2020)

EIBibtex

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

Fangyun Wei,Xiao Sun,Hongyang Li,Jingdong Wang,Stephen Lin

european conference on computer vision, pp.527-544, (2020)

Bibtex

Disentangled Non-Local Neural Networks

Yin Minghao, Yao Zhuliang, Cao Yue, Li Xiu,Zhang Zheng,Lin Stephen, Hu Han

european conference on computer vision, pp.191-207, (2020)

Bibtex

What makes instance discrimination good for transfer learning

Zhao Nanxuan,Wu Zhirong,Lau Rynson W. H.,Lin Stephen

international conference on learning representations, (2020)

Bibtex

A Transductive Approach for Video Object Segmentation

Yizhuo Zhang,Zhirong Wu,Houwen Peng,Stephen Lin

CVPR, pp.6947-6956, (2020)

EIBibtex

Distilling Localization for Self-Supervised Representation Learning

Zhao Nanxuan,Wu Zhirong,Lau Rynson W. H.,Lin Stephen

Cited by3Bibtex

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

Xie Zhenda,Zhang Zheng,Zhu Xizhou,Huang Gao,Lin Stephen

european conference on computer vision, pp.531-548, (2020)

Bibtex

Dense Cross-Modal Correspondence Estimation with the Deep Self-Correlation Descriptor

Seungryong Kim,Dongbo Min,Stephen Lin,Kwanghoon Sohn

IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2020)

WOSBibtex

Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation

Hang Gao,Xizhou Zhu,Stephen Lin,Jifeng Dai

ICLR, (2020)

Cited by3EIBibtex

Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation

Renjiao Yi,Ping Tan,Stephen Lin

AAAI, pp.12685-12692, (2020)

EIBibtex

Cross-Iteration Batch Normalization

Yao Zhuliang,Cao Yue,Zheng Shuxin,Huang Gao,Lin Stephen

Bibtex

A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images

Huazhu Fu,Mani Baskaran,Yanwu Xu,Stephen Lin,Damon Wing Kee Wong,Jiang Liu,Tin A Tun, Meenakshi Mahesh,Shamira A Perera,Tin Aung

American Journal of Ophthalmology, (2019): 37-45

Cited by11WOSBibtex

Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose

Xiao Sun, Chuankang Li,Stephen Lin

ICCV Workshops, pp.2825-2835, (2019)

EIBibtex

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Bin Liu, Zhirong Wu, Han Hu,Stephen Lin

ICCV Workshops, pp.1317-1326, (2019)

Cited by7EIBibtex

Single Image Reflection Removal through Cascaded Refinement

Li Chao, Yang Yixiao,He Kun,Lin Stephen,Hopcroft John E.

CVPR, pp.3562-3571, (2019)

Cited by1EIBibtex

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Papers163 papers

Stephen Lin