Lin, Stephen
Microsoft Research Asia (China)
12 papers on CoChatORCID 0000-0002-5616-558X
Most cited papers
- Verified
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., & Guo, B. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 35,608
- Verified
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., & Guo, B. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 35,534
- Verified
Deformable ConvNets V2: More Deformable, Better Results
Zhu, X., Hu, H., Lin, S., & Dai, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,943
- Verified
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond
Cao, Y., Xu, J., Lin, S., Wei, F., & Hu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 2,307
- Verified
Video Swin Transformer
Liu, Z., Ning, J., Cao, Y., Wei, Y., Zhang, Z., Lin, S., & Hu, H. (2021) · arXiv
Human Pose and Action RecognitionAdvanced Neural Network Applications
Cited by 2,294
- Verified
Video Swin Transformer
Liu, Z., Ning, J., Cao, Y., Wei, Y., Zhang, Z., Lin, S., & Hu, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionAdvanced Neural Network Applications
Cited by 2,294
- Verified
RepPoints: Point Set Representation for Object Detection
Yang, Z., Liu, S., Hu, H., Wang, L., & Lin, S. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 1,307
- Verified
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Zhu, X., Cheng, D., Zhang, Z., Lin, S., & Dai, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 659
- Verified
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Xie, Z., Lin, Y., Zhang, Z., Cao, Y., Lin, S., & Hu, H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 370
- Verified
Neural Articulated Radiance Field
Noguchi, A., Sun, X., Lin, S., & Harada, T. (2021) · arXiv
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 177
- Verified
What makes instance discrimination good for transfer learning?
Zhao, N., Wu, Z., Lau, R. W. H., & Lin, S. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 115
- Verified
Cross-Iteration Batch Normalization
Yao, Z., Cao, Y., Zheng, S., Huang, G., & Lin, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 112
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free