Kai Chen 陈恺 SenseTime

About

Kai Chen is currently a research director at SenseTime. He is leading two teams, the OpenMMLab team in Research Center and a R&D team for business. The teams target at developing state-of-the-art computer vision algorithms for research and industrial applications, as well as building influential open-source platforms for training and deployment.
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 and full-time researchers/engineers. If you are interested please send me an email.

Google Scholar    Github

Experience

   2019 - present

Research Director
SenseTime

   2019.02 - 2019.05

Research Intern
Facebook AI Research (FAIR)

Education

   2015 - 2019

Ph.D. in Information Engineering
The Chinese University of Hong Kong

   2011 - 2015

B.Eng. in Automation
Tsinghua University

News

  •  Two papers accepted to NeurIPS 2021.
  •  One paper accepted to TPAMI.
  •  MMTrackingMMOCR and   MMGeneration  are released.
  •  Two papers accepted to CVPR 2021.
  •  One paper accepted to AAAI 2021.
  •  We announced 6 new open-source projects on OpenMMLab. See our  website  for details.
  •  One paper accepted to ECCV 2020 (Spotlight).
  •  One paper accepted to CVPR 2020.
  •  We won the 1st prize in  COCO 2019 Object Detection Challenge (without external data). (Team: MMDet)
  •  One paper accepted to ICCV 2019 (oral).
  •  Three paper accepted to CVPR 2019.
  •  We released MMCV  and  MMDetection, a high quality object detection codebase.
  •   MMCV: GitHub stars  MMDetection: GitHub stars
  •  We won the  COCO 2018 Object Detection Challenge. (Team: MMDet) (slides)
  •  One paper accepted to CVPR 2018.
  •  One paper accepted to CVPR 2017 (Spotlight).

Publication

CARAFE++: Unified Content-Aware ReAssembly of FEatures

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
TPAMI, 2021

[PDF]

Towards Balanced Learning for Instance Recognition

Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin
IJCV, 2021

[Link]

Positional Encoding as Spatial Inductive Bias in GANs

Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2021

[PDF]  [Code]  [Project page]

Seesaw Loss for Long-Tailed Instance Segmentation

Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2021

[PDF] [Code]

Temporal ROI Align for Video Object Recognition

Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng
AAAI Conference on Artificial Intelligence (AAAI), 2021

Side-Aware Boundary Localization for More Precise Object Detection

Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin
European Conference on Computer Vision (ECCV), 2020 (Spotlight)

[PDF]  [Code]

Feature Pyramid Grids

Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer
Tech report, arXiv, 2020

[PDF [Code]

Prime Sample Attention in Object Detection

Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2020

[PDF]  [Code]

MMDetection: Open MMLab Detection Toolbox and Benchmark

Kai Chen, Jiaqi Wang*, Jiangmiao Pang*, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
Tech report, arXiv, 2019

[PDF]  [Code]

CARAFE: Content-Aware ReAssembly of FEatures

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
International Conference on Computer Vision (ICCV), 2019 (Oral)

[PDF]  [Code]

Hybrid Task Cascade for Instance Segmentation

Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2019

[PDF]  [Code]

Region Proposal by Guided Anchoring

Jiaqi Wang*, Kai Chen*, Shuo Yang, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2019

[PDF]  [Code]

Libra R-CNN: Towards Balanced Learning for Object Detection

Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2019

[PDF]  [Code]

Optimizing Video Object Detection via a Scale-Time Lattice

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2018

[PDF]  [Project page]

Discover and Learn New Objects from Documentaries

Kai Chen, Hang Song, Chen Change Loy, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)

[PDF]  [Project page]  [Dataset]

Video Object Segmentation with Re-identification

Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy
Workshop of DAVIS Challenge on Video Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2017 (Winning entry)

[PDF]  [Project page]

Activities

Reviewer/PC Member

  • CVPR, ICCV, ECCV, AAAI, BMVC, ACM MM
  • TPAMI, IJCV, JMLR

Teaching Assistant

  • IERG4080: Building Scalable Internet-based Services
  • IERG3810: Microcontrollers and Embedded Systems Laboratory

Contacts

  • chenkai sensetime.com