| 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 | 5040* | 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 | 2309 | 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 | 2110 | 2019 |
| 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 | 1789 | 2023 |
| 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 | 1067 | 2021 |
| 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 | 684 | 2021 |
| K-Net: Towards Unified Image Segmentation W Zhang, J Pang, K Chen, CC Loy Neural Information Processing Systems (NeurIPS), 2021 | 651 | 2021 |
| MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection M Contributors https://github.com/open-mmlab/mmdetection3d, 2020 | 597* | 2020 |
| Dense Distinct Query for End-to-End Object Detection S Zhang, J Wang, J Pang, C Lyu, W Zhang, P Luo, K Chen Computer Vision and Pattern Recognition (CVPR), 2023 | 514 | 2023 |
| 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 | 499 | 2019 |
| PointLLM: Empowering Large Language Models to Understand Point Clouds R Xu, X Wang, T Wang(†), Y Chen, J Pang(†), D Lin 🏆European Conference on Computer Vision (ECCV) Best Paper Candidate, 2024 | 494 | 2024 |
| : Scalable Permutation-Equivariant Visual Geometry Learning Y Wang, J Zhou, H Zhu, W Chang, Y Zhou, Z Li, J Chen, J Pang, C Shen, ... International Conference on Learning Representations (ICLR), 2026 | 477* | 2026 |
| 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 | 451 | 2021 |
| Probabilistic and Geometric Depth: Detecting Objects in Perspective T Wang, X Zhu, J Pang(†), D Lin Conference on Robot Learning (CoRL), 2021 | 441 | 2021 |
| Transformer-Based Visual Segmentation: A Survey X Li, H Ding, W Zhang, H Yuan, J Pang, G Cheng, K Chen, Z Liu, CC Loy IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 436 | 2024 |
| Agibot World Colosseo: A Large-Scale Manipulation Platform for Scalable and Intelligent Embodied Systems Q Bu, J Cai, L Chen, X Cui, Y Ding, S Feng, S Gao, X He, X Huang, ... International Conference on Intelligent Robots and Systems (IROS), 2025 | 384 | 2025 |
| -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 | 328 | 2019 |
| AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views L Jiang, Y Mao, L Xu, T Lu, K Ren, Y Jin, X Xu, M Yu, J Pang, F Zhao, ... SIGGRAPH Asia, 2025 | 287 | 2025 |
| X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model J Zheng, J Li, Z Wang, D Liu, X Kang, Y Feng, Y Zheng, J Zou, Y Chen, ... arXiv preprint arXiv:2510.10274, 2025 | 285 | 2025 |
| LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness C Zhu, T Wang, W Zhang, J Pang, X Liu International Conference on Computer Vision (ICCV), 2025 | 284* | 2025 |
