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Zunkai Dai

1 accepted papers

2026

No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection

CVPR 2026

The collection and detection of video anomaly data has long been a challenging problem due to its rare occurrence and spatio-temporal scarcity. Existing video anomaly detection (VAD) methods under perform in open-world scenarios. Key contributing factors include limited dataset diversity, and inadeq

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