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 (
). His supervisor is
Prof. Nenghai Yu
. He also worked as a Research Assistant in
during 2012~2017, under the supervision of
Prof. Xiaogang Wang
, and worked closely with
Prof. Wanli Ouyang
Prof. Hongsheng Li
One paper accepted by ICCV 2021.
Two papers accepted by ICME 2021 as oral.
One paper accepted by AAAI 2021.
One paper accepted by NeurIPS 2020.
One paper accepted by ECCV 2020 for a spotlight (Top 5%) presentation.
One paper accepted by AAAI 2020.
Progressive Correspondence Pruning by Consensus Learning
Chen Zhao, Yixiao Ge,
Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann.
Efficient Open-Set Adversarial Attacks on Deep Face Recognition
Haojie Yuan, Qi Chu,
Feng Zhu, Rui Zhao, Bin Liu, Nenghai Yu.
ICME, 2021, Oral.
Improving Facial Attribute Recognition by Group and Graph Learning
Zhenghao Chen, Shuhang Gu,
Feng Zhu, Jing Xu, Rui Zhao.
ICME, 2021, Oral.
Temporal ROI Align for Video Object Recognition
Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu,
Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng.
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li. Conference on Neural Information Processing Systems (
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%).
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
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 (
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 (
Crowd Tracking by Group Structure Evolution
Feng Zhu, Xiaogang Wang, and Nenghai Yu. IEEE Transactions on Circuits and Systems for Video Technology (
Consistent Matching based on Boosted Salience Channels for Group Re-identification
Feng Zhu, Qi Chu, and Nenghai Yu. IEEE International Conference on Image Processing (
Multi-level visual tracking with hierarchical tree structural constraint
Jingjing Wang, Nenghai Yu,
Feng Zhu, and Liansheng Zhuang. Neurocomputing, 2016.
Crowd Tracking with Dynamic Evolution of Group Structures
Feng Zhu, Xiaogang Wang and Nenghai Yu. European Conference on Computer Vision (
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.
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.
Reviewer for International Journal of Computer Vision (IJCV)
Reviewer for IEEE International Conference on Computer Vision (ICCV), 2019, 2021
Reviewer for IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2019, 2020, 2021
Reviewer for European Conference on Computer Vision (ECCV), 2018, 2020
Reviewer for AAAI Conference on Artificial Intelligence (AAAI), 2020, 2021
Reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Reviewer for NeuroComputing
TA for course "
Information Retrieval and Data Mining", INY530801, USTC, 2014, 2015 Chairman, IEEE Student Branch, USTC, 2012-2013
Volunteer, IEEE International Conference on Image and Graphics (ICIG), 2011
Outstanding Team for “Research on Face Recognition”, SenseTime Group LTD., 2019
Outstanding Employee, SenseTime Group LTD., 2019
Outstanding Employee, SenseTime Research, 2018
Presidential Innovation Award of SenseTime Research, Rank 1/32, 2018
CAS President Award (Excellence Prize), 2017
Guo Rui Scholarship, USTC, 2015
Outstanding Thesis for B.S. Degree, USTC, 2011
Di Ao Scholarship, USTC, 2010
“Robogame Robot Competition", Rank 2/49, USTC, 2009
Excellent Student Award, USTC, 2008, 2009