| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36, 2016 | 4413 | 2016 |
| Spatial temporal graph convolutional networks for skeleton-based action recognition S Yan, Y Xiong, D Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 4389 | 2018 |
| Unsupervised feature learning via non-parametric instance discrimination Z Wu, Y Xiong, SX Yu, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 3833 | 2018 |
| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 2894 | 2019 |
| Libra r-cnn: Towards balanced learning for object detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1592 | 2019 |
| Hybrid task cascade for instance segmentation K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1404 | 2019 |
| Psanet: Point-wise spatial attention network for scene parsing H Zhao, Y Zhang, S Liu, J Shi, CC Loy, D Lin, J Jia Proceedings of the European conference on computer vision (ECCV), 267-283, 2018 | 1180 | 2018 |
| Learning a unified classifier incrementally via rebalancing S Hou, X Pan, CC Loy, Z Wang, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1106 | 2019 |
| Temporal action detection with structured segment networks Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin Proceedings of the IEEE international conference on computer vision, 2914-2923, 2017 | 1045 | 2017 |
| Temporal segment networks for action recognition in videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2018 | 849 | 2018 |
| Towards diverse and natural image descriptions via a conditional gan B Dai, S Fidler, R Urtasun, D Lin Proceedings of the IEEE international conference on computer vision, 2970-2979, 2017 | 741 | 2017 |
| Region proposal by guided anchoring J Wang, K Chen, S Yang, CC Loy, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 722 | 2019 |
| Untrimmednets for weakly supervised action recognition and detection L Wang, Y Xiong, D Lin, L Van Gool Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 602 | 2017 |
| Detecting visual relationships with deep relational networks B Dai, Y Zhang, D Lin Proceedings of the IEEE conference on computer vision and Pattern …, 2017 | 587 | 2017 |
| Fcos3d: Fully convolutional one-stage monocular 3d object detection T Wang, X Zhu, J Pang, D Lin Proceedings of the IEEE/CVF International Conference on Computer Vision, 913-922, 2021 | 492 | 2021 |
| Cylindrical and asymmetrical 3d convolution networks for lidar segmentation X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 492 | 2021 |
| Carafe: Content-aware reassembly of features J Wang, K Chen, R Xu, Z Liu, CC Loy, D Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 491 | 2019 |
| Revisiting skeleton-based action recognition H Duan, Y Zhao, K Chen, D Lin, B Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 490 | 2022 |
| Adapting object detectors via selective cross-domain alignment X Zhu, J Pang, C Yang, J Shi, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 382 | 2019 |
| Holistic scene understanding for 3d object detection with rgbd cameras D Lin, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 1417-1424, 2013 | 355 | 2013 |
Kai ChenShanghai AI Laboratory在 pjlab.org.cn 的电子邮件经过验证
