most citedA Hybrid Transformer-Mamba Network for Single Image Deraining

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

4KDehazeFlow: Ultra-High-Definition Image Dehazing via Flow Matching

Xingchi Chen, Pu Wang, Xuerui Li +7

Ultra-High-Definition (UHD) image dehazing faces challenges such as limited scene adaptability in prior-based methods and high computational complexity with color distortion in dee…

cs.CV2025

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving

Dehong Kong, Sifan Yu, Siyuan Liang +4

Visual language modeling for automated driving is emerging as a promising research direction with substantial improvements in multimodal reasoning capabilities. Despite its advance…

cs.CV2025

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining

Shangquan Sun, Wenqi Ren, Juxiang Zhou +3

Significant progress has been made in video restoration under rainy conditions over the past decade, largely propelled by advancements in deep learning. Nevertheless, existing meth…

cs.CV2025

FaceInsight: A Multimodal Large Language Model for Face Perception

Jingzhi Li, Changjiang Luo, Ruoyu Chen +4

Recent advances in multimodal large language models (MLLMs) have demonstrated strong capabilities in understanding general visual content. However, these general-domain MLLMs perfo…

cs.CV20243 cited

A Hybrid Transformer-Mamba Network for Single Image Deraining

Shangquan Sun, Wenqi Ren, Juxiang Zhou +3

Existing deraining Transformers employ self-attention mechanisms with fixed-range windows or along channel dimensions, limiting the exploitation of non-local receptive fields. In r…