Qi Long
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Vision×1AI×1NLP×1Multiagent×1
Frequent co-authors
Research Timeline
2026
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning
This paper introduces an agentic framework for industrial video anomaly detection, capable of tracking spatial-temporal dynamics and underlying transformations of objects to identify abnormalities.
Highlighted terms show continued research focus across papers
Papers
cs.CVcs.AIcs.CLEmpiricalRecentJul 20, 2026
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning
Mei Yuan, Qi Long, Qifeng Wu, Zhenyang Li +4 more
This paper introduces an agentic framework for industrial video anomaly detection, capable of tracking spatial-temporal dynamics and underlying transformations of objects to identify abnormalities.
View →