3 papers
cs.CV2026
Anomaly-Preference Image Generation
Fuyun Wang, Yuanzhi Wang, Xu Guo +6
Synthesizing realistic and diverse anomalous samples from limited data is vital for robust model generalization. However, existing methods struggle to reconcile fidelity and divers…
cs.CV2026
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
Fuyun Wang, Yuanzhi Wang, Xu Guo +6
Open-set supervised anomaly detection (OSAD) aims to identify unseen anomalies using limited anomalous supervision. However, existing prototype-based methods typically model normal…
cs.LG2025
GraphTorque: Torque-Driven Rewiring Graph Neural Network
Sujia Huang, Lele Fu, Zhen Cui +3
Graph Neural Networks (GNNs) have emerged as powerful tools for learning from graph-structured data, leveraging message passing to diffuse information and update node representatio…