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HeNan Liu

2 accepted papers

2026

Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration

CVPR 2026

Zero-shot image restoration provides a flexible way to handle diverse degradations without task-specific training. However, existing methods typically rely on stacked layers or pre-trained features to enhance degradation expression, while overlooking physically consistent priors. The insufficient de

Cited by 0SourcecodeScholar
2026

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

ICLR 2026poster

Ultrasound is a widely-used imaging modality critical to global healthcare, yet its interpretation remains challenging due to its varying image quality on operators, noises, and anatomical structures. Although large vision-language models (LVLMs) have demonstrated impressive multimodal capabilities…

Cited by 0SourceScholar