Chao Fan (樊超)
Scholar

Chao Fan (樊超)

Google Scholar ID: lgDtKZcAAAAJ
Shenzhen University, Assistant Professor
Computer VisionGait Recognition
Citations & Impact
All-time
Citations
1,420
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
5
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published several papers on Gait Recognition such as 'Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark' (TPAMI 2023), 'OpenGait: Revisiting Gait Recognition Toward Better Practicality' (CVPR 2023, Highlight), 'BigGait: Learning Gait Representation You Want by Large Vision Models' (CVPR 2024); Served as a reviewer for top conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML) and journals (T-PAMI); Won First Prize in China Undergraduate Mathematical Contest in Modeling (CUMCM 2016) and First Prize in China National Scholarship for Doctoral Students (2023).
Research Experience
  • Remote visit at CV Lab, Michigan State University (Sep. 2023 - Mar. 2024), working on BigGait under the supervision of Prof. Xiaoming Liu; Invited Talk: Progress in Gait Recognition (Mar. 2024).
Education
  • Ph.D. candidate in Computer Science at Southern University of Science and Technology (SUSTech), Shenzhen, China. Advisor information not provided.
Background
  • Ph.D. candidate in Computer Science, with research interests in Gait Recognition, Self-Supervised Learning, Large Vision Models, and Generative Models. Currently seeking Internship or Visiting opportunities to end the Ph.D. career and start a new life stage. Future research directions may revolve around Human-Centered Vision Tasks, particularly Representation Learning and Conditional Generative Models.
Miscellany
  • Personal interests and hobbies not provided.