Jiangmiao PangHi! I am a Research Scientist and Team Lead at Shanghai AI Laboratory, where I lead the OpenRobotLab. We are dedicated to building Embodied AGI systems and empowering academia and industry through open-source initiatives. Before that, I was with MMLab@CUHK and worked with Prof. Dahua Lin. Currently, we are focusing on multi-modal perception, interaction, and their conjunction with robot learning. We are building various real embodied systems so as expected to create positive impacts on humans. NOTE: We are looking for self-motivated researchers, engineers, interns, and joint-training PhD students. If you are interested or experienced in related fields, please feel free to directly contact me!
I was also part-time affiliated with OpenMMLab as a core
contributor, where I led/co-authored several visual perception codebases, mainly including
MMDetection Email / GitHub / Google Scholar / Twitter / Zhihu |
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Selected Publications--> For the full publication list, please refer to my Google Scholar.† denotes corresponding author. * denotes equal contribution. My teammates/students/mentees are underline marked. |
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PointLLM: Empowering Large Language Models to Understand Point CloudsRunsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang†, Dahua Lin In Submission, 2024 project page / arXiv / code / bibtex |
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GenNBV: Generalizable Next-Best-View Policy for Active 3D ReconstructionXiao Chen, Quanyi Li, Tai Wang, Tianfan Xue†, Jiangmiao Pang† Computer Vision and Pattern Recognition (CVPR), 2024 project page / arXiv / bibtex |
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EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AITai Wang*, Xiaohan Mao*, Chenming Zhu*, Runsen Xu, Ruiyuan Lyu, Peisen Li, Xiao Chen, Wenwei Zhang, Kai Chen, Tianfan Xue, Xihui Liu, Cewu Lu, Dahua Lin, Jiangmiao Pang† Computer Vision and Pattern Recognition (CVPR), 2024 project page / arXiv / code / bibtex |
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Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot ResponseJunfeng Long*, Zirui Wang*, Quanyi Li, Jiawei Gao, Liu Cao, Jiangmiao Pang† International Conference on Learning Representations (ICLR), 2024 project page / arXiv / code / bibtex |
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Unified Human-Scene Interaction via Prompted Chain-of-ContactsZeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang† International Conference on Learning Representations (ICLR), 2024 Spotlight Presentation project page / arXiv / code / bibtex |
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DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingQing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang† Conference on Robot Learning (CoRL), 2023 arXiv / paper / code / bibtex |
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OV-PARTS: Towards Open-Vocabulary Part SegmentationMeng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang† Neural Information Processing Systems Datasets and Benchmarks Track, 2023 arXiv / code / bibtex |
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Observation-Centric SORT: Rethinking SORT for Robust Multi-Object TrackingJinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, Kris Kitani Computer Vision and Pattern Recognition (CVPR), 2023 Most Influential CVPR Papers arXiv / paper / code / bibtex |
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Monocular 3D Object Detection with Depth from MotionTai Wang, Jiangmiao Pang†, Dahua Lin European Conference on Computer Vision (ECCV), 2022 Oral Presentation arXiv / code / Zhihu / bibtex |
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K-Net: Towards Unified Image SegmentationWenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy Neural Information Processing Systems (NeurIPS), 2021 project page / arXiv / code / video / Zhihu / bibtex |
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FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionTai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin International Conference on Computer Vision Workshops (ICCVW), 2021 Best Paper Award at ICCV 2021 workshop on 3DODI arXiv / code / slide / Zhihu / bibtex |
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Quasi-Dense Similarity Learning for Multiple Object TrackingJiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu Computer Vision and Pattern Recognition (CVPR), 2021 Oral Presentation project page / arXiv / code / video / bibtex |
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Libra R-CNN: Towards Balanced Learning for Object DetectionJiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin Computer Vision and Pattern Recognition (CVPR), 2019 arXiv / code / Zhihu / bibtex |
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Hybrid Task Cascade for Instance SegmentationKai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin Computer Vision and Pattern Recognition (CVPR), 2019 Winning entry at COCO Object Detection Challenge, ECCV 2018 arXiv / code / Zhihu / bibtex |
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R2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing ImagesJiangmiao Pang, Cong Li, Jianping Shi, Zhihai Xu, Huajun Feng IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019 ESI Highly Cited Paper arXiv / paper / bibtex |
Selected Awards
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