Kai Chen

Research Scientist & PI, Shanghai AI Laboratory

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Kai Chen is currently a Research Scientist & PI at Shanghai AI Laboratory. He is leading the OpenMMLab team, which targets at building influential open-source projects and resolving research problems related to AGI and large language models. He also leads an engineering and product team to build open platforms for AI.

Before that, he was a director at SenseTime, leading R&D teams to develop computer vision systems.

He received the PhD degree in The Chinese University of Hong Kong in 2019, under the supervision of Prof. Dahua Lin and Chen Change Loy at MMLab. Before that, he received the B.Eng. degree from Tsinghua University in 2015.

We have opening positions for PhD/postdoc/intern and full-time researchers. If you are interested please send me an email.

news

Feb, 2024 7 paper accepted to CVPR 2024.
Jan, 2024 OpenCompass 2.0 is released and it now has a Chinese name 司南.
Sep, 2023 1 paper accepted to NeurIPS 2023.
Jul, 2023 3 paper accepted to ICCV 2023.
Feb, 2023 3 paper accepted to CVPR 2023.
Nov, 2022 2 paper accepted to AAAI 2023.
Sep, 2022 1 paper accepted to NeurIPS 2022.
Sep, 2022 A major update of OpenMMLab – OpenMMLab 2.0 is released.
Jul, 2022 1 paper accepted to ECCV 2022.
Mar, 2022 6 papers accepted to CVPR 2022.
Sep, 2021 2 papers accepted to NeurIPS 2021.
Apr, 2021 1 paper accepted to TPAMI.
Apr, 2021 We released MMTracking, MMOCR and mmgeneration.
Feb, 2021 2 papers accepted to CVPR 2021.
Dec, 2020 1 paper accepted to AAAI 2021.
Jul, 2020 We announced 6 new open-source projects on OpenMMLab. See our website for details.
Jul, 2020 1 paper accepted to ECCV 2020 (Spotlight).
Feb, 2020 1 paper accepted to CVPR 2020.
Oct, 2019 We won the 1st prize in COCO 2019 Object Detection Challenge (without external data).
Jul, 2019 1 paper accepted to ICCV 2019 (oral).
Mar, 2019 3 paper accepted to CVPR 2019.
Sep, 2018 We released MMCV and MMDetection .
Sep, 2018 We won the COCO 2018 Object Detection Challenge. (slides)
Feb, 2018 1 paper accepted to CVPR 2018.
Mar, 2017 1 paper accepted to CVPR 2017 (Spotlight).

selected publications (full list)

  1. RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer
    Jiahao Wang, Songyang Zhang, Yong Liu, and 6 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  2. Dense Distinct Query for End-to-End Object Detection
    Shilong Zhang, Jiaqi Wang, Jiangmiao Pang, and 4 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  3. Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
    Xinjiang Wang, Xingyi Yang, Shilong Zhang, and 6 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  4. Group R-CNN for Weakly Semi-supervised Object Detection with Points
    Shilong Zhang, Zhuoran Yu, Liyang Liu, and 3 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  5. Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
    Xiangtai Li, Wenwei Zhang, Jiangmiao Pang, and 4 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
  6. Dense Siamese Network
    Wenwei Zhang, Jiangmiao Pang, Kai Chen, and 1 more author
    European Conference on Computer Vision (ECCV) 2022
  7. MMRotate: A Rotated Object Detection Benchmark Using PyTorch
    Yue Zhou, Xue Yang, Gefan Zhang, and 9 more authors
    In Proceedings of the 30th ACM International Conference on Multimedia 2022
  8. K-Net: Towards Unified Image Segmentation
    Wenwei Zhang, Jiangmiao Pang, Kai Chen, and 1 more author
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  9. Temporal ROI Align for Video Object Recognition
    Tao Gong, Kai Chen, Xinjiang Wang, and 5 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2021
  10. Towards Balanced Learning for Instance Recognition
    Jiangmiao Pang, Kai Chen, Qi Li, and 5 more authors
    International Journal of Computer Vision (IJCV) 2021
  11. CARAFE++: Unified Content-Aware ReAssembly of FEatures
    Jiaqi Wang, Kai Chen, Rui Xu, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
  12. Positional Encoding as Spatial Inductive Bias in GANs
    Rui Xu, Xintao Wang, Kai Chen, and 2 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
  13. Feature Pyramid Grids
    Kai Chen, Yuhang Cao, Chen Change Loy, and 2 more authors
    arXiv preprint arXiv:2004.03580 2020
  14. Libra R-CNN: Towards Balanced Learning for Object Detection
    Jiangmiao Pang, Kai Chen, Jianping Shi, and 3 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  15. Region Proposal by Guided Anchoring
    Jiaqi Wang*, Kai Chen*, Shuo Yang, and 2 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  16. Hybrid task cascade for instance segmentation
    Kai Chen, Jiangmiao Pang, Jiaqi Wang, and 9 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
  17. MMDetection: Open MMLab Detection Toolbox and Benchmark
    Kai Chen, Jiaqi Wang*, Jiangmiao Pang*, and 22 more authors
    arXiv preprint arXiv:1906.07155 2019
  18. CARAFE: Content-Aware ReAssembly of FEatures
    Jiaqi Wang, Kai Chen, Rui Xu, and 3 more authors
    In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019
  19. Prime sample attention in object detection
    Yuhang Cao, Kai Chen, Chen Change Loy, and 1 more author
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
  20. Optimizing Video Object Detection via a Scale-Time Lattice
    Kai Chen, Jiaqi Wang, Shuo Yang, and 4 more authors
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
  21. Discover and Learn New Objects from Documentaries
    Kai Chen, Hang Song, Chen Change Loy, and 1 more author
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017