| Tiny-DSOD: Lightweight object detection for resource-restricted usages Y Li, J Li, W Lin, J Li British Machin Vision Conference 2018, 2018 | 139 | 2018 |
| Human in events: A large-scale benchmark for human-centric video analysis in complex events W Lin, H Liu, S Liu, Y Li, R Qian, T Wang, N Xu, H Xiong, GJ Qi, N Sebe arXiv preprint arXiv:2005.04490, 2020 | 117 | 2020 |
| Network decoupling: From regular to depthwise separable convolutions J Guo, Y Li, W Lin, Y Chen, J Li British Machin Vision Conference 2018, 2018 | 100 | 2018 |
| Trp: Trained rank pruning for efficient deep neural networks Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong arXiv preprint arXiv:2004.14566, 2020 | 80 | 2020 |
| Prototypical contrast adaptation for domain adaptive semantic segmentation Z Jiang, Y Li, C Yang, P Gao, Y Wang, Y Tai, C Wang European conference on computer vision, 36-54, 2022 | 77 | 2022 |
| Ta2n: Two-stage action alignment network for few-shot action recognition S Li, H Liu, R Qian, Y Li, J See, M Fei, X Yu, W Lin Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1404-1411, 2022 | 64 | 2022 |
| Trained rank pruning for efficient deep neural networks Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong International Joint Conference on Artificial Intelligence 2020, 2018 | 58 | 2018 |
| Group reidentification with multigrained matching and integration W Lin, Y Li, H Xiao, J See, J Zou, H Xiong, J Wang, T Mei IEEE transactions on cybernetics 51 (3), 1478-1492, 2019 | 41 | 2019 |
| Variational pedestrian detection Y Zhang, H He, J Li, Y Li, J See, W Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation Y Li, N Xu, J Peng, J See, W Lin Advance in Neural Information Processing System 2020, 2020 | 35 | 2020 |
| Learning distinctive margin toward active domain adaptation M Xie, Y Li, Y Wang, Z Luo, Z Gan, Z Sun, M Chi, C Wang, P Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Enhancing self-supervised video representation learning via multi-level feature optimization R Qian, Y Li, H Liu, J See, S Ding, X Liu, D Li, W Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 27 | 2021 |
| Cfad: Coarse-to-fine action detector for spatiotemporal action localization Y Li, W Lin, J See, N Xu, S Xu, K Yan, C Yang European Conference on Computer Vision, 510-527, 2020 | 24 | 2020 |
| Learning from noisy labels with decoupled meta label purifier Y Tu, B Zhang, Y Li, L Liu, J Li, Y Wang, C Wang, CR Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| A regional distance regression network for monocular object distance estimation Y Zhang, L Ding, Y Li, W Lin, M Zhao, X Yu, Y Zhan Journal of Visual Communication and Image Representation 79, 103224, 2021 | 18 | 2021 |
| Finding action tubes with a sparse-to-dense framework Y Li, W Lin, T Wang, J See, R Qian, N Xu, L Wang, S Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11466 …, 2020 | 15 | 2020 |
| Learning with noisy labels via self-supervised adversarial noisy masking Y Tu, B Zhang, Y Li, L Liu, J Li, J Zhang, Y Wang, C Wang, CR Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Arecibo and FAST timing follow-up of 12 millisecond pulsars discovered in Commensal Radio Astronomy FAST Survey CC Miao, WW Zhu, D Li, PCC Freire, JR Niu, P Wang, JP Yuan, MY Xue, ... Monthly Notices of the Royal Astronomical Society 518 (2), 1672-1682, 2023 | 12 | 2023 |
| Ttan: Two-stage temporal alignment network for few-shot action recognition S Li, H Liu, R Qian, Y Li, J See, M Fei, X Yu, W Lin arXiv preprint, 2021 | 8 | 2021 |
| Learning from noisy labels with coarse-to-fine sample credibility modeling B Zhang, Y Li, Y Tu, J Peng, Y Wang, C Wu, Y Xiao, C Zhao European Conference on Computer Vision, 21-38, 2022 | 7 | 2022 |
Weiyao LinProfessor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
