| MMDetection: Open MMLab Detection Toolbox and Benchmark K Chen, J Pang*, J Wang*, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, ... https://github.com/open-mmlab/mmdetection, 2019 | 1881* | 2019 |
| Libra R-CNN: Towards Balanced Learning for Object Detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin Computer Vision and Pattern Recognition (CVPR), 2019 | 1084 | 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, ... Computer Vision and Pattern Recognition (CVPR), 2019 | 963 | 2019 |
| Adapting Object Detectors via Selective Cross-Domain Alignment X Zhu, J Pang, C Yang, J Shi, D Lin Computer Vision and Pattern Recognition (CVPR), 2019 | 270 | 2019 |
| FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection T Wang, X Zhu, J Pang, D Lin International Conference on Computer Vision Workshops (ICCVW), 2021 | 181 | 2021 |
| -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 | 172 | 2019 |
| Quasi-Dense Similarity Learning for Multiple Object Tracking J Pang, L Qiu, X Li, H Chen, Q Li, T Darrell, F Yu Computer Vision and Pattern Recognition (CVPR), 2021 | 165 | 2021 |
| 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, ... Computer Vision and Pattern Recognition (CVPR), 2021 | 124 | 2021 |
| MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection M Contributors https://github.com/open-mmlab/mmdetection3d, 2020 | 104 | 2020 |
| 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 | 97 | 2018 |
| K-Net: Towards Unified Image Segmentation W Zhang, J Pang, K Chen, CC Loy Neural Information Processing Systems (NeurIPS), 2021 | 96 | 2021 |
| Probabilistic and Geometric Depth: Detecting Objects in Perspective T Wang, X Zhu, J Pang(†), D Lin Conference on Robot Learning (CoRL), 2021 | 92 | 2021 |
| 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 | 82 | 2020 |
| Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking J Cao, J Pang, X Weng, R Khirodkar, K Kitani Computer Vision and Pattern Recognition (CVPR), 2023 | 43 | 2023 |
| Context-Aware Mixup for Domain Adaptive Semantic Segmentation Q Zhou, Z Feng, Q Gu, J Pang, G Cheng, X Lu, J Shi, L Ma IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 | 28 | 2022 |
| MMTracking: OpenMMLab Video Perception Toolbox and Benchmark MMT Contributors https://github.com/open-mmlab/mmtracking, 2020 | 20 | 2020 |
| Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation X Li*, W Zhang*, J Pang*, K Chen, G Cheng, Y Tong, CC Loy Computer Vision and Pattern Recognition (CVPR), 2022 | 15 | 2022 |
| Monocular 3D Object Detection with Depth from Motion T Wang, J Pang(†), D Lin European Conference on Computer Vision (ECCV), 2022 | 14 | 2022 |
| 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 | 13 | 2021 |
| Self-Adversarial Disentangling for Specific Domain Adaptation Q Zhou, Q Gu, J Pang, X Lu, L Ma IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 12 | 2023 |
Dahua LinThe Chinese University of Hong Kong在 ie.cuhk.edu.hk 的电子邮件经过验证
