Dr. Feng ZHU (朱烽)

Research Director @ Smart City Group of SenseTime

2021年"上海产业菁英"高层次人才：产业青年英才

2022年"深圳人工智能科技进步奖：排名2/8

Computer Vision and Deep Learning Research for Smart City.

zhufeng@sensetime.com (Work)
zhufengx2011@gmail.com (Personal)
GitHub, Google Scholar

*** Positions available for highly self-motivated full-time researchers and interns!

About Me

Feng ZHU is currently a Research Director in Smart City Group of SenseTime, leading a talented research&development team with over 40 full-time reseachers, engineers and interns. His team supports SenseFoundry, a one-stop software platform tailored for Smart City management, delivering cutting-edge Computer Vison and Deep Learning techniques for large scale applications in Smart City, such as City Security, Traffic Management. Feng ZHU 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), under the supervision of Prof. Nenghai Yu. He also worked as a Research Assistant in MMLab during 2012~2017, under the supervision of Prof. Xiaogang Wang. Currently, he works closely with Prof. Wanli Ouyang, Prof. Hongsheng Li, Prof. Junchi Yan, and Dr. Qi Chu.

News

Publications

  1. HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
    SHIXIANG TANG, Cheng Chen, Meilin Chen, Qingsong Xie, Yizhou Wang, Yuanzheng Ci, LEI BAI, Feng Zhu, Haiyang Yang, Li Yi, Rui Zhao, Wanli Ouyang.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]
  2. UniHCP: A Unified Model for Human-Centric Perceptions
    Yuanzheng Ci, Yizhou Wang, Meilin Chen, SHIXIANG TANG, LEI BAI, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]
  3. Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
    Xiaoshi Wu, Feng Zhu, Rui Zhao, Hongsheng Li.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]
  4. Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
    Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan.
    International Conference on Learning Representations (ICLR), 2023. [PDF]
  5. Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
    Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan.
    International Conference on Learning Representations (ICLR), 2023. [PDF]
  6. Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
    Haiyang Yang, Shixiang Tang, Xiaotong Li, Feng Zhu, Yizhou Wang, Meilin Chen, LEI BAI, Rui Zhao, Wanli Ouyang.
    International Conference on Learning Representations (ICLR), 2023. [PDF]
  7. COCAS+: Large-Scale Clothes-Changing Person Re-identification with Clothes Templates
    Shihua Li, Haobin Chen, Shijie Yu, Zhiqun He, Feng Zhu, Rui Zhao, Jie Chen, Yu Qiao.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [PDF]
  8. Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning
    Yizhou Wang, Meilin Chen, Shixiang Tang, Feng Zhu, Haiyang Yang, LEI BAI, Rui Zhao, Yunfeng Yan, Donglian Qi, Wanli Ouyang.
    Conference on Neural Information Processing Systems (NeurIPS), 2022. [PDF]
  9. Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
    Xulin Li, Yan Lu, Bin Liu, Guojun Yin, Qi Chu, Feng Zhu, Rui Zhao, Nenghai Yu.
    European Conference on Computer Vision (ECCV), 2022. [PDF]
  10. Domain Invariant Autoencoders for Self-supervised Learning from Multi-domains
    Haiyang Yang, Meilin Chen, Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang.
    European Conference on Computer Vision (ECCV), 2022. [PDF] [Code]
  11. Unifying Vision Unsupervised Contrastive Learning from a Graph Perspective
    Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang.
    European Conference on Computer Vision (ECCV), 2022. [PDF] [Code]
  12. Relative Contrastive Loss for Unsupervised Representation Learning
    Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang.
    European Conference on Computer Vision (ECCV), 2022. [PDF] [Code]
  13. Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [PDF]
  14. DOTIN: Dropping Task-Irrelevant Nodes for GNNs
    Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang.
    arXiv:2204.13429, 2022. [PDF]
  15. Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
    Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF]
  16. Feature Erasing and Diffusion Network for Occluded Person Re-Identification
    Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF] [Code]
  17. Align Representations with Base: A New Approach to Self-Supervised Learning
    Shaofeng Zhang, Lyn Qiu, Feng Zhu, Yunchi Yan, Hengrui Zhang, Rui Zhao, Xiaokang Yang.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF] [Code]
  18. Zero-CL: Feature and Instance Decorrelation via Whitening for Negative-Free Contrastive Learning with Symmetric Architecture
    Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang.
    International Conference on Learning Representations (ICLR), 2022. [PDF] [Code]
  19. Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
    Shijie Yu, Feng Zhu, Dapeng Chen, Rui Zhao, Haobin Chen, Shixiang Tang, Jinguo Zhu, Yu Qiao.
    arXiv:2105.12355, 2021. [PDF]
  20. Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
    Yixiao Ge, Xiao Zhang, Ching Lam Choi, Ka Chun Cheung, Peipei Zhao, Feng Zhu, Xiaogang Wang, Rui Zhao, Hongsheng Li.
    arXiv:2104.13298, 2021. [PDF]
  21. AutoMA: Towards Automatic Model Augmentation for Transferable Adversarial Attacks
    Haojie Yuan, Qi Chu, Feng Zhu, Rui Zhao, Bin Liu, Nenghai Yu.
    IEEE Transactions on Multimedia (TMM), 2021. [PDF]
  22. Progressive Correspondence Pruning by Consensus Learning
    Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann.
    ICCV, 2021. [PDF]
  23. 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]
  24. Improving Facial Attribute Recognition by Group and Graph Learning
    Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao.
    ICME, 2021, Oral. [PDF]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. Multi-level visual tracking with hierarchical tree structural constraint
    Jingjing Wang, Nenghai Yu, Feng Zhu, and Liansheng Zhuang.
    Neurocomputing, 2016.
  34. 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]
  35. 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]
  36. 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]

Services

Awards