| 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, ... https://github.com/open-mmlab/mmdetection, 2019 | 334 | 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, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 269 | 2019 |
| Libra R-CNN: Towards Balanced Learning for Object Detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 233 | 2019 |
| Adapting Object Detectors via Selective Cross-Domain Alignment X Zhu, J Pang, C Yang, J Shi, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 61 | 2019 |
| FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction S Sun, J Pang, J Shi, S Yi, W Ouyang Neural Information Processing Systems (NeurIPS), 2018 | 53 | 2018 |
| Rē-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images J Pang, C Li, J Shi, Z Xu, H Feng IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019 | 52* | 2019 |
| 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 (ECCV), 2020 | 8 | 2020 |
| Quasi-Dense Similarity Learning for Multiple Object Tracking J Pang, L Qiu, H Chen, Q Li, T Darrell, F Yu arXiv preprint arXiv:2006.06664, 2020 | 3* | 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, ... arXiv preprint arXiv:2008.10032, 2020 | 2 | 2020 |
| 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 (IJCV), 2021 | | 2021 |
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
