Scholar
Shuaifeng Li
Google Scholar ID: uswf_pQAAAAJ
School of Computer Science and Engineering, University of Electronic Science and Technology of China
Citations & Impact
Citations
177
H-index
5
i10-index
4
Publications
12
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - A paper about ODE-flow based image generation accepted by ESWA
- - Two papers accepted by CVPR 2025
- - A paper that explores cloud object detector adaptation accepted by NeurIPS 2024
- - A paper about black-box domain adaptation accepted by ACMM MM 2024
- - A paper using mutual learning for UDA accepted by TCSVT
- - A paper about unsupervised domain adaptation (UDA) accepted by ACMM MM 2022
- - A paper about source-free object detection by overlooking domain style accepted by CVPR 2022 (ORAL)
- - A paper about source-free object detection accepted by ACMM MM Asia 2021
Research Experience
- Conducts research work at CVLAB, UESTC, focusing on Large Cloud Model Adaptation and Domain Adaptive Object Detection.
Education
- Ph.D. student at CVLAB, University of Electronic Science and Technology of China (UESTC), supervised by Professor Mao Ye; enrolled in a combined Master and Doctoral program, with the Master's study spanning from 2020 to 2022 and Ph.D. research continuing from 2022 to the present; completed Bachelor's degree at UESTC (2016–2020).
Background
- Primary research interests include Large Cloud Model Adaptation and Domain Adaptive Object Detection. Additionally, has a broad interest in language-vision models, encompassing recognition, detection, and segmentation tasks.
Miscellany
- Open to research collaborations. Feel free to contact if you share similar interests or are interested in his previous work.
