activity
20242026
most citedA Survey of Camouflaged Object Detection and Beyond

2 citations · 2 across the 11 of their papers we have counts for

collaborators

13 papers

cs.RO2026

A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking

Yuelin Zhang, Qingpeng Ding, Longxiang Tang +2

Ultrasound (US)-guided needle insertion is a critical yet challenging procedure due to dynamic imaging conditions and difficulties in needle visualization. Many methods have been p…

cs.CV2026

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration

Fengyang Xiao, Peng Hu, Lei Xu +7

Real-world image restoration aims to restore high-quality (HQ) images from degraded low-quality (LQ) inputs captured under uncontrolled conditions. Existing methods typically depen…

cs.CV2026

Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

Chengyu Fang, Heng Guo, Zheng Jiang +3

Multimodal large language models are promising for clinical visual question answering tasks, but scaling to 3D imaging is hindered by high computational costs. Prior methods often…

cs.CV2025

Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning

Chubin Chen, Sujie Hu, Jiashu Zhu +8

Recent studies have demonstrated significant progress in aligning text-to-image diffusion models with human preference via Reinforcement Learning from Human Feedback. However, whil…

cs.CV2025

M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision

Che Liu, Zheng Jiang, Chengyu Fang +5

Medical image retrieval is essential for clinical decision-making and translational research, relying on discriminative visual representations. Yet, current methods remain fragment…

cs.CV2025

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Chunming He, Fengyang Xiao, Rihan Zhang +3

Existing methods for concealed visual perception (CVP) often leverage reversible strategies to decrease uncertainty, yet these are typically confined to the mask domain, leaving th…