| 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, ... arXiv preprint arXiv:1906.07155, 2019 | 1145 | 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 Conference on Computer Vision and Pattern …, 2019 | 753 | 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 Conference on Computer Vision and Pattern …, 2019 | 705 | 2019 |
| Region proposal by guided anchoring J Wang*, K Chen*, S Yang, C Change Loy, D Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 420 | 2019 |
| MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors Availabe online: https://github. com/open-mmlab/mmsegmentation (accessed on …, 2020 | 137 | 2020 |
| CARAFE: Content-Aware ReAssembly of FEatures J Wang, K Chen, R Xu, Z Liu, CC Loy, D Lin IEEE International Conference on Computer Vision, 2019 | 136 | 2019 |
| Prime sample attention in object detection Y Cao, K Chen, CC Loy, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 108 | 2020 |
| Optimizing video object detection via a scale-time lattice K Chen, J Wang, S Yang, X Zhang, Y Xiong, CC Loy, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 91 | 2018 |
| Video object segmentation with re-identification X Li, Y Qi, Z Wang, K Chen, Z Liu, J Shi, P Luo, X Tang, CC Loy arXiv preprint arXiv:1708.00197, 2017 | 75 | 2017 |
| Side-aware boundary localization for more precise object detection J Wang, W Zhang, Y Cao, K Chen, J Pang, T Gong, J Shi, CC Loy, D Lin European Conference on Computer Vision, 403-419, 2020 | 54 | 2020 |
| Seesaw Loss for Long-Tailed Instance Segmentation J Wang, W Zhang, Y Zang, Y Cao, J Pang, T Gong, K Chen, Z Liu, CC Loy, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 50 | 2020 |
| 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 | 38 | 2022 |
| Positional Encoding as Spatial Inductive Bias in GANs R Xu, X Wang, K Chen, B Zhou, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 30 | 2020 |
| K-net: Towards unified image segmentation W Zhang, J Pang, K Chen, CC Loy Advances in Neural Information Processing Systems 34, 10326-10338, 2021 | 25 | 2021 |
| Feature pyramid grids K Chen, Y Cao, CC Loy, D Lin, C Feichtenhofer arXiv preprint arXiv:2004.03580, 2020 | 17 | 2020 |
| Discover and Learn New Objects from Documentaries K Chen, H Song, CC Loy, D Lin Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 16 | 2017 |
| MMOCR: a comprehensive toolbox for text detection, recognition and understanding Z Kuang, H Sun, Z Li, X Yue, TH Lin, J Chen, H Wei, Y Zhu, T Gao, ... Proceedings of the 29th ACM International Conference on Multimedia, 3791-3794, 2021 | 6 | 2021 |
| Temporal ROI align for video object recognition T Gong, K Chen, X Wang, Q Chu, F Zhu, D Lin, N Yu, H Feng Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1442-1450, 2021 | 6 | 2021 |
| Towards balanced learning for instance recognition J Pang, K Chen, Q Li, Z Xu, H Feng, J Shi, W Ouyang, D Lin International Journal of Computer Vision 129 (5), 1376-1393, 2021 | 6 | 2021 |
| Carafe++: Unified content-aware reassembly of features J Wang, K Chen, R Xu, Z Liu, CC Loy, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 6 | 2021 |
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
