4 papers
Training-Free Logical and Structural Anomaly Detection via Calibrated Fusion
Changyi Li, Miao Yu, Kai Dong +1
Industrial anomaly detection must handle two distinct defect families: structural anomalies, which manifest as local texture corruptions, and logical anomalies, which violate globa…
Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection
Changyi Li, Yu Xiao
As the scale of video surveillance data outpaces manual annotation capacities, weakly supervised video anomaly detection (WSVAD) has emerged as a critical research frontier. Most e…
Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video
Masoud Jalayer, Changyi Li, Yu Xiao
Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, construction, and manufacturing. Ye…
UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection
Changyi Li, Chao Yang, Yu Xiao +1
Visual anomaly detection is a fundamental task in industrial automation. While existing approaches have achieved notable progress in identifying structural defects, the detection o…