3 papers
cs.CV2026
Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection
Yang Liu, Boan Chen, Yuanyuan Meng +5
As embodied perception systems increasingly bridge digital and physical realms in interactive multimedia applications, the need for privacy-preserving approaches to understand huma…
cs.AI2025
Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
Luyao Niu, Zepu Wang, Shuyi Guan +2
While spatio-temporal Graph Neural Networks (GNNs) excel at modeling recurring traffic patterns, their reliability plummets during non-recurring events like accidents. This failure…
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…