Exploring Diffusion Models for Unsupervised Video Anomaly Detection

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

12 April 2023

Nicola Dall’Asen

Papers citing "Exploring Diffusion Models for Unsupervised Video Anomaly Detection"

19 / 19 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
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models Ezgi Demircan-Tureyen F. Lucka Tristan van Leeuwen DiffM 25 0 0 09 Nov 2024
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM Huaxin Zhang Xiaohao Xu Xiang Wang Jialong Zuo Chuchu Han Xiaonan Huang Changxin Gao Yuehuan Wang Nong Sang 45 16 0 18 Jun 2024
Video Anomaly Detection in 10 Years: A Survey and Outlook Moshira Abdalla Sajid Javed Muaz Al Radi Anwaar Ulhaq N. Werghi 33 2 0 29 May 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection Luca Zanella Willi Menapace Massimiliano Mancini Yiming Wang Elisa Ricci VLM 24 20 0 01 Apr 2024
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation Zixin Zhu Xuelu Feng Dongdong Chen Junsong Yuan Chunming Qiao Gang Hua DiffM 29 7 0 18 Mar 2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection Chenchen Tao Chong Wang Yuexian Zou Xiaohao Peng Jiafei Wu Jiangbo Qian 27 2 0 02 Mar 2024
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error Jonas Ricker Denis Lukovnikov Asja Fischer 22 31 0 31 Jan 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection Yongwei Nie Hao Huang Chengjiang Long Qing Zhang Pradipta Maji Hongmin Cai 21 1 0 24 Jan 2024
Diffusion-Based Particle-DETR for BEV Perception Asen Nachkov Martin Danelljan D. Paudel Luc Van Gool DiffM 19 3 0 18 Dec 2023
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 32 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 52 115 0 16 Oct 2023
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection Henghao Zhao Kevin Qinghong Lin Rui Yan Zechao Li VGen DiffM 26 1 0 29 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras Runyu Jiao Yi Wan Fabio Poiesi Yiming Wang 27 9 0 14 Aug 2023
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models Guy Zamberg Moshe Salhov Ofir Lindenbaum Amir Averbuch DiffM 13 3 0 23 Jul 2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors Nicolae-Cătălin Ristea Florinel-Alin Croitoru Radu Tudor Ionescu Marius Popescu F. Khan M. Shah ViT 11 19 0 21 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 172 719 0 02 Mar 2021
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 104 227 0 26 Sep 2017