Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. - Wenxi Lv; Qinliang Su; Hai Wan; Hongteng Xu; Wenchao Xu 001 (ICML, 2024)

AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model. - Zhenyu Yan 004; Qingqing Fang; Wenxi Lv; Qinliang Su (CoRR, 2024)

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. - Qingqing Fang; Qinliang Su; Wenxi Lv; Wenchao Xu 001; Jianxing Yu (AAAI, 2025)

One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning. - Wenxi Lv; Qinliang Su; Wenchao Xu 001 (ICLR, 2025)

AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation. - Qingqing Fang; Wenxi Lv; Qinliang Su (CoRR, 2025)