Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Stephen Lin

ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection


Sep 09, 2021
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon

* IEEE TIP accepted. Journal extension of our ECCV 2020 paper (arXiv:2007.08728). Source code: https://github.com/Dong-JinKim/ActionCooccurrencePriors/ 

  Access Paper or Ask Questions

Video Swin Transformer


Jun 24, 2021
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu


  Access Paper or Ask Questions

Aligning Pretraining for Detection via Object-Level Contrastive Learning


Jun 04, 2021
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin


  Access Paper or Ask Questions

Neural Articulated Radiance Field


Apr 07, 2021
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada

* 15 pages 

  Access Paper or Ask Questions

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows


Mar 25, 2021
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

* The first 4 authors contribute equally 

  Access Paper or Ask Questions

Instance Localization for Self-supervised Detection Pretraining


Feb 16, 2021
Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin

* Technical report 

  Access Paper or Ask Questions

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency


Feb 04, 2021
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

* Accepted to AAAI 2021. Code/dataset/models are available at https://github.com/SeokjuLee/Insta-DM. arXiv admin note: substantial text overlap with arXiv:1912.09351 

  Access Paper or Ask Questions

Global Context Networks


Dec 24, 2020
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

* To appear in TPAMI. Full version of GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond (arXiv:1904.11492) 

  Access Paper or Ask Questions

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


Nov 19, 2020
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu


  Access Paper or Ask Questions

Object-based Illumination Estimation with Rendering-aware Neural Networks


Aug 06, 2020
Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong

* ECCV 2020 

  Access Paper or Ask Questions

Detecting Human-Object Interactions with Action Co-occurrence Priors


Jul 27, 2020
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon

* ECCV 2020. Source code : https://github.com/Dong-JinKim/ActionCooccurrencePriors/ 

  Access Paper or Ask Questions

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach


Jul 18, 2020
Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin

* European Conference on Computer Vision (ECCV), 2020 

  Access Paper or Ask Questions

RepPoints V2: Verification Meets Regression for Object Detection


Jul 16, 2020
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu


  Access Paper or Ask Questions

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


Jul 14, 2020
Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin

* To appear in ECCV 2020 

  Access Paper or Ask Questions

Disentangled Non-Local Neural Networks


Jun 11, 2020
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu


  Access Paper or Ask Questions

What makes instance discrimination good for transfer learning?


Jun 11, 2020
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin


  Access Paper or Ask Questions

A Transductive Approach for Video Object Segmentation


Apr 16, 2020
Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin

* To Appear in CVPR 2020 

  Access Paper or Ask Questions

Distilling Localization for Self-Supervised Representation Learning


Apr 14, 2020
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin


  Access Paper or Ask Questions

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation


Mar 19, 2020
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin


  Access Paper or Ask Questions

Cross-Iteration Batch Normalization


Feb 14, 2020
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin


  Access Paper or Ask Questions

Dense RepPoints: Representing Visual Objects with Dense Point Sets


Dec 24, 2019
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu


  Access Paper or Ask Questions

Instance-wise Depth and Motion Learning from Monocular Videos


Dec 19, 2019
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

* http://sites.google.com/site/seokjucv/home/instadm 

  Access Paper or Ask Questions

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


Nov 17, 2019
Renjiao Yi, Ping Tan, Stephen Lin

* 27 pages, with supplementary material, to appear in AAAI 2020 

  Access Paper or Ask Questions

Single Image Reflection Removal through Cascaded Refinement


Nov 15, 2019
Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft

* 10 pages, 8 figures 

  Access Paper or Ask Questions

Learning Residual Flow as Dynamic Motion from Stereo Videos


Sep 16, 2019
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

* IROS 2019. https://sites.google.com/site/seokjucv/ 

  Access Paper or Ask Questions

Visuomotor Understanding for Representation Learning of Driving Scenes


Sep 16, 2019
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon

* BMVC 2019. Supplementary material: https://bmvc2019.org/wp-content/uploads/papers/0002-supplementary.zip Dataset: http://github.com/SeokjuLee/driving-dataset-doc 

  Access Paper or Ask Questions