Dr. Feng ZHU (朱烽)

Deputy R&D Director @ SenseTime

Computer Vision, Deep Learning, Face Recognition, Crowd Analysis

zhufeng@sensetime.com (Work)
zhufengx2011@gmail.com (Personal)

CV, 中文简历, GitHub, Google Scholar

*** Positions available for highly self-motivated full-time researchers and interns! Please send your CV to zhufeng@sensetime.com

About Me

Feng ZHU is currently a Deputy R&D Director of the Safe City Department at SenseTime Group Limited. He leads a research team working on large scale face recognition and scene analysis. He received the B.E. degree and Ph.D. degree in Electronic Engineering in 2011 and 2017, respectively, from the Department of Electronic Engineering and Information Science, University of Science and Technology of China (USTC). His supervisor is Prof. Nenghai Yu. He also worked as a Research Assistant in MMLab during 2012~2017, under the supervision of Prof. Xiaogang Wang, and worked closely with Prof. Wanli Ouyang and Prof. Hongsheng Li.



  1. Progressive Correspondence Pruning by Consensus Learning
    Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann.
    ICCV, 2021. [PDF]
  2. Efficient Open-Set Adversarial Attacks on Deep Face Recognition
    Haojie Yuan, Qi Chu, Feng Zhu, Rui Zhao, Bin Liu, Nenghai Yu.
    ICME, 2021, Oral. [PDF]
  3. Improving Facial Attribute Recognition by Group and Graph Learning
    Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao.
    ICME, 2021, Oral. [PDF]
  4. Temporal ROI Align for Video Object Recognition
    Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng.
    AAAI, 2021. [PDF]
  5. Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li.
    Conference on Neural Information Processing Systems (NeurIPS), 2020. [PDF] [Project] [Code]
  6. Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
    Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li.
    European Conference on Computer Vision (ECCV), 2020, Spotlight (Top 5%). [PDF] [Project] [Code]
  7. DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking
    Qi Chu, Wanli Ouyang, Bin Liu, Feng Zhu, Nenghai Yu.
    accepted by AAAI, 2020. [PDF]
  8. Attention-aware Compositional Network for Person Re-identification
    Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]
  9. Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
    Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, and Xiaogang Wang.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF] [Code]
  10. Crowd Tracking by Group Structure Evolution
    Feng Zhu, Xiaogang Wang, and Nenghai Yu.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016. [PDF]
  11. Consistent Matching based on Boosted Salience Channels for Group Re-identification
    Feng Zhu, Qi Chu, and Nenghai Yu.
    IEEE International Conference on Image Processing (ICIP), 2016. [PDF]
  12. Multi-level visual tracking with hierarchical tree structural constraint
    Jingjing Wang, Nenghai Yu, Feng Zhu, and Liansheng Zhuang.
    Neurocomputing, 2016.
  13. Crowd Tracking with Dynamic Evolution of Group Structures
    Feng Zhu, Xiaogang Wang and Nenghai Yu.
    European Conference on Computer Vision (ECCV), 2014. [PDF] [Demo] [Dataset]
  14. Robust FMO Algorithm and Adaptive Redundant Slice Allocation for Wireless Video Transmission
    Feng Zhu, Weiming Zhang, Nenghai Yu and Xianfeng Zhao.
    Telecommunication Systems (Journal), vol. 59, no. 3, pp. 357-363, 2015. [PDF]
  15. Adaptive Error Resilient Coding Based on FMO in Wireless Video Transmission
    Feng Zhu, Weiming Zhang and Nenghai Yu.
    International Conference on Multimedia Information Networking and Security (MINES), 2011. [PDF]