8 papers
Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal
Wanshu Fan, Yunzhe Zhang, Yue Shen +5
Adverse weather causes diverse and complex image degradations, severely compromising the reliability of computer vision systems. Existing all-in-one restoration models attempt to a…
A Two-Stage Multi-Scale Attention-Based Network for Weakly Supervised Cataract Fundus Image Enhancement
Xiaoyong Fang, Yue Wang, Xiangyu Li +2
Cataract is a major cause of vision loss and hinders further diagnosis. However, cataract fundus image enhancement often grapples with challenges such as limited paired cataract re…
Medical world models in healthcare: capabilities, evidence, and trustworthy clinical translation
Zhaoyan Chen, Zhongxiu Cong, Zhuanfeng Jin +7
Medical world models offer a framework for extending medical artificial intelligence beyond static prediction by representing evolving patient states and modelling how they change…
Agentic AI in medicine: architectures, applications, evaluation, and challenges for clinical translation
Zheng Tong, Yang Liu, Wanshu Fan +6
Large language models and multimodal foundation models are enabling medical artificial intelligence (AI) systems to move beyond isolated prediction and undertake multistep clinical…
DDVT: Dynamic Dual-level Vision Transformer Fusion Network for Answer Grounding in Visual Question Answering
Yue Zhang, Xiangyu Li, Wanshu Fan +2
Answer grounding in visual question answering aims to locate the region from a given natural language question associated with the visual content of an image, which has garnered si…
MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model
Wanshu Fan, Xiangyu Li, Cong Wang +4
Images captured by consumer electronic devices, such as mobile phones and digital cameras, often suffer from low-light degradation due to sensor limitations and imaging pipelines,…
Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal
Xiangyu Li, Wanshu Fan, Yue Shen +5
High-fidelity imaging is crucial for the successful safety supervision and intelligent deployment of vision-based measurement systems (VBMS). It ensures high-quality imaging in VBM…
Semantic-Guided Global-Local Collaborative Networks for Lightweight Image Super-Resolution
Wanshu Fan, Yue Wang, Cong Wang +3
Single-Image Super-Resolution (SISR) plays a pivotal role in enhancing the accuracy and reliability of measurement systems, which are integral to various vision-based instrumentati…