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 developing state-of-the-art computer vision algorithms for research and industrial applications, as well as building influential open-source projects. 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 self-motivated interns/PostDocs and full-time researchers. If you are interested please send me an email.

news

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).
Jan, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov, 2015 A long announcement with details
Oct, 2015 A simple inline announcement.

selected publications (full list)

  1. 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
  2. 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
  3. Dense Siamese Network
    Wenwei Zhang, Jiangmiao Pang, Kai Chen, and 1 more author
    European Conference on Computer Vision (ECCV) 2022
  4. MMRotate: A Rotated Object Detection Benchmark Using PyTorch
    Yue Zhou, Xue Yang, Gefan Zhang, and 9 more authors
    Proceedings of the 30th ACM International Conference on Multimedia 2022
  5. K-Net: Towards Unified Image Segmentation
    Wenwei Zhang, Jiangmiao Pang, Kai Chen, and 1 more author
    Advances in Neural Information Processing Systems (NeurIPS) 2021
  6. 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
  7. Towards Balanced Learning for Instance Recognition
    Jiangmiao Pang, Kai Chen, Qi Li, and 5 more authors
    International Journal of Computer Vision (IJCV) 2021
  8. 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
  9. 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
  10. Feature Pyramid Grids
    Kai Chen, Yuhang Cao, Chen Change Loy, and 2 more authors
    arXiv preprint arXiv:2004.03580 2020
  11. 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
  12. 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
  13. 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
  14. MMDetection: Open MMLab Detection Toolbox and Benchmark
    Kai Chen, Jiaqi Wang*, Jiangmiao Pang*, and 22 more authors
    arXiv preprint arXiv:1906.07155 2019
  15. 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
  16. 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
  17. 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
  18. 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