Yu Liu

Ultra-High-Definition Image Restoration via Prior-driven Patch Bilateral Compensation

STAFuse: Scene-Text Aggregation-Guided Composite Degradation-Robust Infrared and Visible Image Fusion

Infrared and visible image fusion aims to integrate complementary information from source images to generate high-quality fusion images that serve downstream tasks. However, the differentiated representation of image scene content, the unpredictability of degradation modes in source images, and the complexity of compos...

Uncertainty as risk: A plug-and-play evidence-guided framework with error-aligned calibration for medical image segmentation.

The results demonstrate that the proposed "plug-and-play" evidence-guided framework for reliable medical image segmentation generally achieves a more consistent, spatially coherent uncertainty representation that better aligns with the true error, providing a practical tool for quality control and risk awareness in cli...