Yang Fu

M.S. Student
Beijing Normal University
yangfu@mail.bnu.edu.cn

About Me

I am a third-year M.S. student at Beijing Normal University, under the supervision of Professor Yongzhen Huang.

Research Interests

Computer Vision: biometrics, video generation, multimodal large language models
Machine Learning: incremental learning, transfer learning
Human Computer iteraction: human creativity supporting

News

[Dec. 2024] Invited talk at Gait 2024 @ SUSTech
[Nov. 2024] I lead a team that won first prize in the Multimodal track and third prize in the Pose track at the ACM MM’24 Multimodal Gait Recognition Challenge.
[Oct. 2024] One paper about biometrics is accepted to ECCV 2024.
[Dec. 2023] One technical paper on an open-source framework for gait recognition is now available as a preprint on arXiv.
[Jan. 2023] One paper about biometrics is accepted to ICCV 2023.

Publications

ECCV

Cut out the Middleman: Revisiting Pose-based Gait Recognition

Yang Fu, Saihui Hou, Shibe Meng, Xuecai Hu, ChunshuiCao, Xu Liu, Yongzhen Huang

The 18th European Conference on Computer Vision (ECCV), 2024.

PDF Code BibTex

ICCV

GPGait: Generalized Pose-based Gait Recognition.

Yang Fu*, Shibe Meng*, Saihui Hou, Xuecai Hu, Yongzhen Huang (* Both authors contributed equally to this research.)

The Thirty Fourth IEEE/CVF Conference on International Conference on Computer Vision (ICCV), 2023.

PDF Code BibTex

arXiv

FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition

Shibei Meng*, Yang Fu*, Saihui Hou, Xuecai Hu, Yongzhen Huang

arXiv, preprint

PDF Code BibTex Technical Report

TMM

Gait Recognition with Drones: A Benchmark

Aoqi Li, Saihui Hou, Qingyuan Cai, Yang Fu, Yongzhen Huang

IEEE Transactions on Multimedia

PDF Code BibTex Dataset Paper

Services

Journal Reviewers

Public Service

Honors and Awards

Honors

Awards

First Prize in The ACM MM’24 Multimodal Gait Recognition (MGR) Challenge