2 papers
cs.CV2026
MuST-VAD: Mutual Structured Learning for Video Anomaly Detection
Satoshi Hashimoto, Hitoshi Nishimura, Mori Kurokawa
In this paper, we propose MuST-VAD, a mutual structured learning framework for weakly supervised video anomaly detection (VAD) in which an anomaly detector and a large vision-langu…
cs.CV2026
PA-VAD: Diffusion-Based Pseudo-Only Video Anomaly Detection via Domain-Aligned Memory Updates
Satoshi Hashimoto, Yanan Wang, Hitoshi Nishimura +1
Deploying video anomaly detection (VAD) in the real world is often constrained by the scarcity, privacy, and cost of collecting real abnormal footage. We propose PA-VAD, a novel ps…