22 citations · 24 across the 3 of their papers we have counts for
3 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.CL2023★ 22 cited
Cross-lingual Alzheimer's Disease detection based on paralinguistic and pre-trained features
Xuchu Chen, Yu Pu, Jinpeng Li +1
We present our submission to the ICASSP-SPGC-2023 ADReSS-M Challenge Task, which aims to investigate which acoustic features can be generalized and transferred across languages for…
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…