17 citations · 17 across the 4 of their papers we have counts for
4 papers
BioMedVR: Confusion-Aware Mixture-of-Prompt Experts for Biomedical Visual Reprogramming
Jiaxiang Liu, Tianxiang Hu, Juwei Guan +5
Recent advances in vision-language models (VLMs) such as CLIP have demonstrated strong generalization across natural-image domains. However, adapting these models to biomedical ima…
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection
Jianlin Sun, Xiaolin Fang, Juwei Guan +3
The core challenge in Camouflage Object Detection (COD) lies in the indistinguishable similarity between targets and backgrounds in terms of color, texture, and shape. This causes…
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data
Juwei Guan, Xiaolin Fang, Donghyun Kim +4
Low-quality data often suffer from insufficient image details, introducing an extra implicit aspect of camouflage that complicates camouflaged object detection (COD). Existing COD…
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Tong Wang, Guanyu Yang, Qijia He +2
Attributed graph clustering is one of the most fundamental tasks among graph learning field, the goal of which is to group nodes with similar representations into the same cluster…