Liang Bao — accepted AI-conference papers

2026

FastRef: Fast Prototype Refinement for Few-shot Industrial Anomaly Detection

Yufei Li, Long Tian, Yuyang Dai, Wenchao Chen, Liang Bao, Xiyang Liu

CVPR 2026

Few-shot industrial anomaly detection (FS-IAD) presents a critical challenge for practical automated inspection systems operating in data-scarce environments. While existing approaches predominantly focus on obtaining prototypes from limited normal images, they neglect to systematically incorporate

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2025

Less is More: Efficient Image Vectorization with Adaptive Parameterization

Kaibo Zhao, Liang Bao, Yufei Li, Xu Su, Ke Zhang, Xiaotian Qiao

CVPR 2025poster

Image vectorization aims to convert raster images to vector ones, allowing for easy scaling and editing.Existing works mainly rely on preset parameters (i.e., a fixed number of paths and control points), ignoring the complexity of the image and posing significant challenges to practical applications…

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