collaborators

6 papers

cs.CV2026

From Clouds to Hallucinations: Atmospheric Retrieval Hijacking in Remote Sensing Vision-Language RAG

Jiaju Han, Chao Li, Chengyin Hu +8

Multimodal RAG systems increasingly rely on vision-language retrievers to ground visual queries in external textual evidence. Existing adversarial studies on RAG mainly manipulate…

cs.CV2026

Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy

Yinghao Chen, Yeying Jin, Xiang Chen +3

Unsupervised deraining has attracted attention for its ability to learn the real-world distribution of rain without paired supervision. However, the lack of strong constraints make…

cs.CV2026

Thermal Topology Collapse: Universal Physical Patch Attacks on Infrared Vision Systems

Chengyin Hu, Yikun Guo, Yuxian Dong +7

Infrared pedestrian detectors are increasingly deployed in all-weather perception systems, but their robustness against physical adversarial attacks remains insufficiently understo…

cs.CV2026

Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis

Kangbo Zhao, Miaoxin Guan, Xiang Chen +2

Image deraining plays a pivotal role in low-level computer vision, serving as a prerequisite for robust outdoor surveillance and autonomous driving systems. While deep learning par…

cs.CV2026

UniRain: Unified Image Deraining with RAG-based Dataset Distillation and Multi-objective Reweighted Optimization

Qianfeng Yang, Qiyuan Guan, Xiang Chen +3

Despite significant progress has been made in image deraining, we note that most existing methods are often developed for only specific types of rain degradation and fail to genera…

cs.CV2025

AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results

George Ciubotariu, Florin-Alexandru Vasluianu, Zhuyun Zhou +44

This paper presents a comprehensive review of the AIM 2025 High FPS Non-Uniform Motion Deblurring Challenge, highlighting the proposed solutions and final results. The objective of…