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.CV2026
Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
Jing Liu, Zhengliang Guo, Yan Wang +4
Federated learning (FL) is severely challenged by non-independent and identically distributed (non-IID) client data, a problem that degrades global model performance, especially in…
cs.CV2023
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection
Zhiyuan Ning, Zhangxun Li, Zhengliang Guo +2
Video Anomaly Detection (VAD) is an essential yet challenging task in signal processing. Since certain anomalies cannot be detected by isolated analysis of either temporal or spati…