Chenyue Li 李辰玥
I'm currently a fourth-year undergraduate student (Sep. 2021 - Jun. 2025) at the School of Computer Science , Wuhan University, fortunately supervised by Prof. Mang Ye.
We proposed a unified, generic high-frequency Transformer architecture to enhance applicability across various species, breaking through the existing species-specific methods, and evaluated the model on diverse wildlife datasets, where it achieved superior performance over state-of-the-art ReID methods.
Mang Ye, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du
International Journal of Computer Vision(IJCV)
We review the development of the Re-ID field before the Transformer era, introduce Transformer in vision, and provide a detailed analysis of its numerous advantages
National Level College Students' Innovation and Entrepreneurship Training Program
Advisor: Prof.Mang Ye
Gratefully attributed to the source code by Dr. Jon Barron.