54 citations · 64 across the 14 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CV2022
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance
Congqi Cao, Xin Zhang, Shizhou Zhang +2
Weakly supervised video anomaly detection (WSVAD) is a challenging task since only video-level labels are available for training. In previous studies, the discriminative power of t…
cs.CV2022★ 6 cited
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
Congqi Cao, Yue Lu, Yanning Zhang
Video anomaly detection aims to find the events in a video that do not conform to the expected behavior. The prevalent methods mainly detect anomalies by snippet reconstruction or…
cs.CV2022★ 54 cited
Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos
Congqi Cao, Xin Zhang, Shizhou Zhang +2
For weakly supervised anomaly detection, most existing work is limited to the problem of inadequate video representation due to the inability of modeling long-term contextual infor…