1 citations · 2 across the 5 of their papers we have counts for
5 papers
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection
Xiangyu Huang, Caidan Zhao, Jinghui Yu +2
Frame prediction based on AutoEncoder plays a significant role in unsupervised video anomaly detection. Ideally, the models trained on the normal data could generate larger predict…
Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder
Xiangyu Huang, Caidan Zhao, Chenxing Gao +2
Due to the limited availability of anomalous samples for training, video anomaly detection is commonly viewed as a one-class classification problem. Many prevalent methods investig…
Updated version: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Xiangyu Huang, Caidan Zhao, Zhiqiang Wu
Video anomaly detection is an essential but challenging task. The prevalent methods mainly investigate the reconstruction difference between normal and abnormal patterns but ignore…
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Xiangyu Huang, Caidan Zhao, Yilin Wang +1
Video anomaly detection refers to the identification of events that deviate from the expected behavior. Due to the lack of anomalous samples in training, video anomaly detection be…
Authentication Scheme Based on Hashchain for Space-Air-Ground Integrated Network
Caidan Zhao, Mingxian Shi, MinMin Huang +1
With the development of artificial intelligence and self-driving, vehicular ad-hoc network (VANET) has become an irreplaceable part of the Intelligent Transportation Systems (ITSs)…