| Network In Network M Lin, Q Chen, S Yan ICLR, 2014 | 10810 | 2014 |
| Face recognition using laplacianfaces X He, S Yan, Y Hu, P Niyogi, HJ Zhang IEEE transactions on pattern analysis and machine intelligence 27 (3), 328-340, 2005 | 4557 | 2005 |
| Robust recovery of subspace structures by low-rank representation G Liu, Z Lin, S Yan, J Sun, Y Yu, Y Ma IEEE transactions on pattern analysis and machine intelligence 35 (1), 171-184, 2012 | 4055 | 2012 |
| 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 | 3731 | 2006 |
| Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, ZH Jiang, FEH Tay, J Feng, S Yan Proceedings of the IEEE/CVF international conference on computer vision, 558-567, 2021 | 3115 | 2021 |
| An HOG-LBP human detector with partial occlusion handling X Wang, TX Han, S Yan 2009 IEEE 12th international conference on computer vision, 32-39, 2009 | 2558 | 2009 |
| Sparse representation for computer vision and pattern recognition J Wright, Y Ma, J Mairal, G Sapiro, TS Huang, S Yan Proceedings of the IEEE 98 (6), 1031-1044, 2010 | 2385 | 2010 |
| Neighborhood preserving embedding X He, D Cai, S Yan, HJ Zhang Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005 | 2129 | 2005 |
| Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1658 | 2022 |
| Deep joint rain detection and removal from a single image W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1537 | 2017 |
| Supervised hashing for image retrieval via image representation learning R Xia, Y Pan, H Lai, C Liu, S Yan Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 1191 | 2014 |
| Tensor robust principal component analysis with a new tensor nuclear norm C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019 | 1163 | 2019 |
| Perceptual generative adversarial networks for small object detection J Li, X Liang, Y Wei, T Xu, J Feng, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1147 | 2017 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng Advances in neural information processing systems 30, 2017 | 1143 | 2017 |
| Object region mining with adversarial erasing: A simple classification to semantic segmentation approach Y Wei, J Feng, X Liang, MM Cheng, Y Zhao, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1070 | 2017 |
| Scale-aware fast R-CNN for pedestrian detection J Li, X Liang, SM Shen, T Xu, J Feng, S Yan IEEE transactions on Multimedia 20 (4), 985-996, 2017 | 1055 | 2017 |
| Simultaneous feature learning and hash coding with deep neural networks H Lai, Y Pan, Y Liu, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1048 | 2015 |
| Deep long-tailed learning: A survey Y Zhang, B Kang, B Hooi, S Yan, J Feng IEEE transactions on pattern analysis and machine intelligence 45 (9), 10795 …, 2023 | 979 | 2023 |
| Robust and efficient subspace segmentation via least squares regression CY Lu, H Min, ZQ Zhao, L Zhu, DS Huang, S Yan European conference on computer vision, 347-360, 2012 | 910 | 2012 |
| Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 901 | 2019 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
