collaborators

6 papers

cs.CV2026

SIMI: Self-information Mining Network for Low-light Image Enhancement

Xuanshuo Fu, Lei Kang, Javier Vazquez-Corral

Poor lighting conditions significantly impact image quality, posing substantial challenges for image editing and visualization. Many existing enhancement methods aim at proposing c…

cs.CV2026

Reading in the Dark: Low-light Scene Text Recognition

Xuanshuo Fu, Lei Kang, Ernest Valveny +2

Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges…

cs.CV2026

Diffusion-Based Low-Light Image Enhancement with Color and Luminance Priors

Xuanshuo Fu, Lei Kang, Javier Vazquez-Corral

Low-light images often suffer from low contrast, noise, and color distortion, degrading visual quality and impairing downstream vision tasks. We propose a novel conditional diffusi…

cs.AI2025

LLM-Driven Medical Document Analysis: Enhancing Trustworthy Pathology and Differential Diagnosis

Lei Kang, Xuanshuo Fu, Oriol Ramos Terrades +3

Medical document analysis plays a crucial role in extracting essential clinical insights from unstructured healthcare records, supporting critical tasks such as differential diagno…

eess.SP2025

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM

Lei Kang, Xuanshuo Fu, Javier Vazquez-Corral +2

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the critical need for efficient and accurate diagnostic tools. Electrocardiograms (ECGs…

cs.CV2025

HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks

Maria Pilligua, Danna Xue, Javier Vazquez-Corral

Decomposing a video into a layer-based representation is crucial for easy video editing for the creative industries, as it enables independent editing of specific layers. Existing…