3 papers
cs.AI2026
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
Ning Gao, Xiuhui Zhang, Xingyu Jiang +3
Designing efficient reward functions for low-level control tasks is a challenging problem. Recent research aims to reduce reliance on expert experience by using Large Language Mode…
cs.CV2025
Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration
Xingyu Jiang, Ning Gao, Hongkun Dou +4
Natural image quality is often degraded by adverse weather conditions, significantly impairing the performance of downstream tasks. Image restoration has emerged as a core solution…
eess.IV2025
Image Restoration via Multi-domain Learning
Xingyu Jiang, Ning Gao, Xiuhui Zhang +5
Due to adverse atmospheric and imaging conditions, natural images suffer from various degradation phenomena. Consequently, image restoration has emerged as a key solution and garne…