Chunlei Li

Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.

Achieve state-of-the-art few-shot anomaly detection in medical imaging by dynamically weighting reference images based on their relevance to the query, enabling effective knowledge transfer from limited normal examples.

Achieve state-of-the-art image restoration across diverse image domains by adaptively composing task and domain prompts learned from multimodal LLMs.