Swin transformer: Hierarchical vision transformer using shifted windows Z Liu, Y Lin, Y Cao, H Hu, Y Wei, Z Zhang, S Lin, B Guo Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 24662 | 2021 |
Graph embedding and extensions: A general framework for dimensionality reduction S Yan, D Xu, B Zhang, HJ Zhang, Q Yang, S Lin IEEE transactions on pattern analysis and machine intelligence 29 (1), 40-51, 2006 | 3661 | 2006 |
Deformable convnets v2: More deformable, better results X Zhu, H Hu, S Lin, J Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 2450 | 2019 |
Gcnet: Non-local networks meet squeeze-excitation networks and beyond Y Cao, J Xu, S Lin, F Wei, H Hu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2083 | 2019 |
Video swin transformer Z Liu, J Ning, Y Cao, Y Wei, Z Zhang, S Lin, H Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1917 | 2022 |
Reppoints: Point set representation for object detection Z Yang, S Liu, H Hu, L Wang, S Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1158 | 2019 |
A high-quality denoising dataset for smartphone cameras A Abdelhamed, S Lin, MS Brown Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 880 | 2018 |
Local relation networks for image recognition H Hu, Z Zhang, Z Xie, S Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 635 | 2019 |
An empirical study of spatial attention mechanisms in deep networks X Zhu, D Cheng, Z Zhang, S Lin, J Dai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 572 | 2019 |
Deepvessel: Retinal vessel segmentation via deep learning and conditional random field H Fu, Y Xu, S Lin, DW Kee Wong, J Liu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 548 | 2016 |
3D shape regression for real-time facial animation C Cao, Y Weng, S Lin, K Zhou ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013 | 475 | 2013 |
Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning Z Xie, Y Lin, Z Zhang, Y Cao, S Lin, H Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 472 | 2021 |
Super resolution using edge prior and single image detail synthesis YW Tai, S Liu, MS Brown, S Lin 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 434 | 2010 |
Disentangled non-local neural networks M Yin, Z Yao, Y Cao, X Li, Z Zhang, S Lin, H Hu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 378 | 2020 |
Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval D Xu, S Yan, D Tao, S Lin, HJ Zhang IEEE Transactions on Image processing 16 (11), 2811-2821, 2007 | 355 | 2007 |
Exposure: A white-box photo post-processing framework Y Hu, H He, C Xu, B Wang, S Lin ACM Transactions on Graphics (TOG) 37 (2), 1-17, 2018 | 338 | 2018 |
Discriminant locally linear embedding with high-order tensor data X Li, S Lin, S Yan, D Xu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 338 | 2008 |
Semantic colorization with internet images AYS Chia, S Zhuo, RK Gupta, YW Tai, SY Cho, P Tan, S Lin ACM Transactions on Graphics (ToG) 30 (6), 1-8, 2011 | 313 | 2011 |
Fc4: Fully convolutional color constancy with confidence-weighted pooling Y Hu, B Wang, S Lin Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 307 | 2017 |
Intrinsic colorization X Liu, L Wan, Y Qu, TT Wong, S Lin, CS Leung, PA Heng ACM SIGGRAPH Asia 2008 papers, 1-9, 2008 | 297 | 2008 |