Tiny-DSOD: Lightweight object detection for resource-restricted usages Y Li, J Li, W Lin, J Li British Machin Vision Conference 2018, 2018 | 132 | 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 | 112 | 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 | 94 | 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 | 74 | 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 | 65 | 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 | 54 | 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 | 49 | 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 | 39 | 2019 |
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 | 32 | 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 | 27 | 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 | 26 | 2021 |
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 | 25 | 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 | 23 | 2020 |
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 |
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 |
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 | 7 | 2023 |
Lstc: Boosting atomic action detection with long-short-term context Y Li, B Zhang, J Li, Y Wang, W Lin, C Wang, J Li, F Huang Proceedings of the 29th ACM international conference on multimedia, 2158-2166, 2021 | 7 | 2021 |
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 | 7 | 2021 |
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 | 6 | 2023 |