3 papers
cs.CV2025
M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly Detection
Yang Liu, Boan Chen, Xiaoguang Zhu +3
Video anomaly detection (VAD) is an essential task in the image processing community with prospects in video surveillance, which faces fundamental challenges in balancing detection…
cs.CV2024
Privacy-Preserving Video Anomaly Detection: A Survey
Yang Liu, Siao Liu, Xiaoguang Zhu +7
Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillance videos collected from open spaces to detect anomalous events that may cause harm…
cs.DC2024
End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce
Liangyu Teng, Yang Liu, Jing Liu +1
In recent years, the e-commerce industry has seen a rapid increase in the demand for advanced AI-driven customer service solutions. Traditional cloud-based models face limitations…