works on

From the 1 of 18 linked papers with an AI index.

activity
20242026
collaborators

18 papers

cs.CV2026

ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection

Zihan Nie, Qincheng Qiao, Muhao Xu +4

Multimodal medical anomaly detection identifies samples deviating from normal patterns, where scarce abnormal cases make normality modeling from normal data practical. In retinal O…

cs.CV2026

CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection

Zihan Nie, Muhao Xu, Wei Feng +7

The paper introduces CFR-Net, a network that refines teacher and student features to improve detection and localization of anomalies in medical images using only normal training da…

cs.CV2026

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding

Haolin Yang, Feilong Tang, Lingxiao Zhao +10

Real-time streaming video understanding in domains such as autonomous driving and intelligent surveillance poses challenges beyond conventional offline video processing, requiring…

cs.CV2026

Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code

Yicheng Wu, Tao Song, Zhonghua Wu +5

Magnetic resonance imaging (MRI) is a powerful and versatile imaging technique, offering a wide spectrum of information about the anatomy by employing different acquisition modalit…

cs.CL2026

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data

Xinlin Zhuang, Feilong Tang, Haolin Yang +9

Supervised Fine-Tuning (SFT) of the language backbone plays a pivotal role in adapting Vision-Language Models (VLMs) to specialized domains such as medical reasoning. However, exis…

cs.CV2026

Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding

Zhongxing Xu, Zhonghua Wang, Zhe Qian +10

Recent advancements in multimodal large reasoning models (MLRMs) have significantly improved performance in visual question answering. However, we observe that transition words (e.…