eBird
Biography
I received my M.E. degree in Electronic Information from Zhejiang University, where I conducted research under the guidance of Assistant Prof. Zewei He. Prior to that, I received my B.E. degree in Mechanical Engineering from Zhejiang University of Technology.
During my master's study, my research focused on low-level vision and image restoration, particularly real-world image degradation.
I am currently seeking PhD opportunities starting in Fall 2027.
News
Our work on DiffUR³ and the RDRF benchmark was accepted to ECCV 2026.
Organized the UR³ Challenge at LoViF @ ECCV 2026, attracting 150 participants and 1,582 submissions.
Our paper GFRRN was accepted to CVPR 2026.
Recent Works
Unified Removal of Raindrops and Reflections: A New Benchmark and A Novel Pipeline
We introduce a new benchmark and a diffusion-based pipeline for unified removal of raindrops and reflections in real-world images.
LLPR: Location-aware learning and physics-based reconstruction for raindrop removal from a single image
We introduce a location-aware learning branch and physics-based reconstruction framework for single-image raindrop removal, together with a challenging real-world dataset.