4 papers
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…
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…
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
Satoshi Hashimoto, Tatsuya Konishi, Tomoya Kaichi +2
Video anomaly detection (VAD) has long been studied as a crucial problem in public security and crime prevention. In recent years, weakly-supervised VAD (WVAD) have attracted consi…
Fast variational knowledge graph embedding
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
Embedding of a knowledge graph(KG) entities and relations in the form of vectors is an important aspect for the manipulation of the KG database for several downstream tasks, such a…