2 papers
cs.CV2026
SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search
Minghe Wang, Weijun Zeng, Dapeng Luo +2
Most video anomaly understanding (VAU) systems still infer anomaly judgments from evidence collected in a feed-forward way under predefined rules, typically sampled frames, or even…
cs.AI2026
GFM4GA: Graph Foundation Model for Group Anomaly Detection
Jiujiu Chen, Weijun Zeng, Shaofeng Hu +2
Group anomaly detection is crucial in many network applications, but faces challenges due to diverse anomaly patterns. Motivated by the success of large language models (LLMs) in n…