2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Yujiang Pu, Xiaoyu Wu, Lulu Yang +1
Video anomaly detection under weak supervision presents significant challenges, particularly due to the lack of frame-level annotations during training. While prior research has ut…
cs.CV2022
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
Yujiang Pu, Xiaoyu Wu
Video anomaly detection is recently formulated as a multiple instance learning task under weak supervision, in which each video is treated as a bag of snippets to be determined whe…