Ph.D candidate in CS

  SUSTech, Shenzhen, China

  12131100 at mail dot sustech dot edu dot cn

I major in Computer Vision and Deep Learning, and have published several papers about Gait Recognition on top venues like CVPR, ECCV, and T-PAMI (8 in total).

My past research scope involves Gait Recognition + Self-Supervised Learning, Large Vision Models, and Generative Models .

And now, I'm seeking Internship or Visiting opportunities to end my Ph.D. career, as well as start my next life stage.

The potential research I look forward to might be around Human-Centered Vision Tasks close to Representation Learning and Conditional Generative Models.

Also, I'm open to discussing other potential directions. Please feel free to get in touch with me!

Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark
Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, and Shiqi Yu
TPAMI2023, Gait Recognition + Contrastive Learning
Paper   code

OpenGait: Revisiting Gait Recognition Toward Better Practicality
Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, and Shiqi Yu
CVPR 2023, Highlight, a Comprehensive Benchmark Study for Gait Recognition
Paper   code

BigGait: Learning Gait Representation You Want by Large Vision Models
Dingqiang Ye*, Chao Fan*, Jingzhe Ma, Xiaoming Liu, and Shiqi Yu
CVPR 2024, Gait Recognition + Large Vision Models
Paper   code

GaitEditer: Attribute Editing for Gait Representation Learning
Jingzhe Ma*, Dingqiang Ye*, Chao Fan*, and Shiqi Yu
Arxiv 2023 (Submitted to T-PAMI), Gait Recognition + GAN Inversion
Paper   code