193 citations · 222 across the 6 of their papers we have counts for
6 papers
Video Anomaly Detection and Explanation via Large Language Models
Hui Lv, Qianru Sun
Video Anomaly Detection (VAD) aims to localize abnormal events on the timeline of long-range surveillance videos. Anomaly-scoring-based methods have been prevailing for years but s…
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
Hui Lv, Zhongqi Yue, Qianru Sun +3
Weakly Supervised Video Anomaly Detection (WSVAD) is challenging because the binary anomaly label is only given on the video level, but the output requires snippet-level prediction…
Spatio-Temporal Relation Learning for Video Anomaly Detection
Hui Lv, Zhen Cui, Biao Wang +1
Anomaly identification is highly dependent on the relationship between the object and the scene, as different/same object actions in same/different scenes may lead to various degre…
Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv, Chen Chen, Zhen Cui +3
Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection. With models trained on the normal data, the reconstructio…
Global Information Guided Video Anomaly Detection
Hui Lv, Chunyan Xu, Zhen Cui
Video anomaly detection (VAD) is currently a challenging task due to the complexity of anomaly as well as the lack of labor-intensive temporal annotations. In this paper, we propos…
Localizing Anomalies from Weakly-Labeled Videos
Hui Lv, Chuanwei Zhou, Chunyan Xu +2
Video anomaly detection under video-level labels is currently a challenging task. Previous works have made progresses on discriminating whether a video sequencecontains anomalies.…