Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

4 July 2023

Papers citing "Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations"

6 / 6 papers shown

Title
A Survey on Diffusion Models for Anomaly Detection J. Liu Zhenchao Ma Zepu Wang Y. Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 37 2 0 20 Jan 2025
Mitral Regurgitation Recogniton based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification Zhe Liu Xiliang Zhu Tong Han Yuhao Huang Jian Wang M. Werman Fang Wang Dong Ni Zhongshan Gou Xin Yang 37 0 0 31 Jul 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection Luca Zanella Willi Menapace Massimiliano Mancini Yiming Wang Elisa Ricci VLM 21 20 0 01 Apr 2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection Chenchen Tao Chong Wang Yuexian Zou Xiaohao Peng Jiafei Wu Jiangbo Qian 19 2 0 02 Mar 2024
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach Ayush Rai Tarun Krishna Feiyan Hu Alexandru Drimbarean Kevin McGuinness A. Smeaton Noel E. O'Connor 29 1 0 27 Nov 2023
A Survey on Video Diffusion Models Zhen Xing Qijun Feng Haoran Chen Qi Dai Hang-Rui Hu Hang Xu Zuxuan Wu Yu-Gang Jiang EGVM VGen 50 112 0 16 Oct 2023