27 citations · 66 across the 8 of their papers we have counts for
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cs.CV2023★ 9 cited
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang +4
The recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerful vis…
cs.CV2023★ 2 cited
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
Peng Wu, Jing Liu, Xiangteng He +3
Video anomaly detection (VAD) has been paid increasing attention due to its potential applications, its current dominant tasks focus on online detecting anomalies% at the frame lev…
cs.CV2023★ 7 cited
Video Event Restoration Based on Keyframes for Video Anomaly Detection
Zhiwei Yang, Jing Liu, Zhaoyang Wu +2
Video anomaly detection (VAD) is a significant computer vision problem. Existing deep neural network (DNN) based VAD methods mostly follow the route of frame reconstruction or fram…