Chuanfu Shen

Chuanfu Shen

Ph.D. Candidate

The University of Hong Kong

Biography

Weclome! I am currently a Ph.D. candidate jointly enrolled in SUSTech and HKU, under the supervision of Prof. Shiqi Yu and Prof. George Q. Huang. I received my B.E. degree in 2019 from the Southern University of Science and Technology in Shenzhen, China. My primary research interests lie in human retrieval, gait recognition, and 3D perception.

I’m open to colloboration. Feel free to drop me an email through noahshen@connect.hku.hk

Interests
  • Gait Recognition
  • 3D Perception
  • Human Retrieval
Education

  • Ph.D.

    HKU, 2019 - present

  • B.Eng

    SUSTech, 2015 - 2019

News

  • 2023/02: 🎉 LidarGait and OpenGait get accepted to CVPR'23.
  • 2022/07: 🎉 GaitEdge gets accepted to ECCV'22.
  • 2021/11: We released a flexible and extensible codebase: OpenGait.
  • 2020/09: Join Yu Lab under superivsion by Shiqi Yu, starting to play gait recognition.
  • 2019/07: I graduate from Southern University of Science and Technology, as a honorary graduate of Zhixin College.

Publications

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

Chuanfu Shen, Chao Fan, Wei Wu, Rui Wang, George Q. Huang, Shiqi Yu
February, 2023CVPR'2023
Proposing the largest scale of LiDAR-based benchmark for 3D gait recognition, along with simple and effective baseline LidarGait.

PDF Cite Code Dataset Project
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
A comprehensive survey on deep gait recognition: algorithms, datasets and challenges

Chuanfu Shen, Shiqi Yu, Jilong Wang, George Q. Huang, Liang Wang
June, 2022Arxiv'2022

PDF Cite
A comprehensive survey on deep gait recognition: algorithms, datasets and challenges
Gait recognition with mask-based regularization

Chuanfu Shen, Beibei Lin, Shunli Zhang, George Q. Huang, Shiqi Yu, Xin Yu
June, 2022Arxiv'2022
By injecting perturbation on the feature map, ReverseMask palys as a regularizator to help convolutional architecture learn the discriminative representations and enhances generalization.

PDF Cite
Gait recognition with mask-based regularization
Gaitedge: Beyond plain end-to-end gait recognition for better practicality

Junhao Liang, Chao Fan, Saihui Hou,Chuanfu Shen, Chuanfu Shen, Yongzhen Huang, Shiqi Yu
June, 2022ECCV'2022
A strong and popular baseline model for both indoor and outdoor datasets.

PDF Cite Code
Gaitedge: Beyond plain end-to-end gait recognition for better practicality
OpenGait: Revisiting Gait Recognition Towards Better Practicality

Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, Shiqi Yu
February, 2023CVPR'2023
A strong and popular baseline model for both indoor and outdoor datasets.

PDF Cite Code
OpenGait: Revisiting Gait Recognition Towards Better Practicality

Fun

 
 
 
 
 
First Place
SUSTech 1st autonomic driving competition
First Place
June 2021 – June 2021 ShenZhen, China

Focusing on the realization of perception and planning algorithms, with the goal of the car autonomously driving two laps around the track. The main tasks are:

  • lane, sign, crosswalk, traffic light recognition
  • racing
  • planning

Popular Topics

Gait recognition Point Cloud