I’m a 1st-year Ph.D student at MMT lab, University of Liverpool, co-advised by Dr. Siyue Yu and Prof. Jimin Xiao. I’m also fortunate to work closely with Dr. Yi Dong and Prof. Xiaowei Huang, in Trustworthy Autonomous Cyber-Physical Systems (TACPS) Lab.
Prior to that, I worked as a camera engineer for vivo Mobile Communication Ltd, focusing on Auto-Foucs & Image-Stablization.
I got my M.Eng. degree at MePro (Group Leader: Yao Zhao, IEEE Fellow), Beijing Jiaotong University, advised by Associate Prof. Meiqin Liu and Chao Yao.
My research interests cover a range of computer vision and deep learning, including image & video low-level vision, e.g. super-resolution, denoising, low-light enhancement, etc. and semantic segmentation under various supervisory conditions, including weakly supervised, zero-shot and continual learning environments. My research is primarily concentrated on open-vocabulary segmentation tasks and semantic-guided low-level vision.
🔥 News
- 2023.10: 🎉🎉 Two papers accepted by ACM MM 2023.
- 2023.04: 🎉🎉 One paper accepted by T-CSVT.
📝 Publications
Kernel Dimension Matters: To Activate Available Kernels for Real-time Video Super-Resolution
Shuo Jin, Meiqin Liu, Chao Yao, Chunyu Lin, Yao Zhao
CLG-INet: Coupled Local-Global Interactive Network for Image Restoration
Yuqi Jiang, Chune ZHANG, Shuo Jin, Jiao Liu, Jiapeng Wang
Temporal consistency learning of inter-frames for video super-resolution
Meiqin Liu, Shuo Jin, Chao Yao, Chunyu Lin, Yao Zhao
📖 Educations
- 2024.09 - present, Ph.D in Computer Science, University of Liverpool.
- 2021.09 - 2023.06, M.Eng in Electronic Engineering, Beijing Jiaotong University.
💻 Works & Internships
- 2023.07 - 2024.08 (full-time), vivo Mobile Communication Ltd.
💻 Social Work
Reviewer for ACMMM and TIP.