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Exploring Diffusion Models for Unsupervised Video Anomaly Detection

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

12 April 2023
Anil Osman Tur
Nicola Dall’Asen
Cigdem Beyan
Elisa Ricci
    DiffM
    VGen
ArXivPDFHTML

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

19 / 19 papers shown
Title
A Survey on Diffusion Models for Anomaly Detection
A Survey on Diffusion Models for Anomaly Detection
Jiaheng Liu
Zhenchao Ma
Zepu Wang
Yang Liu
Zehua Wang
Peng Sun
Liang Song
Bo Hu
Azzedine Boukerche
Victor C.M. Leung
DiffM
MedIm
44
2
0
20 Jan 2025
Exploring Out-of-distribution Detection for Sparse-view Computed
  Tomography with Diffusion Models
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen
F. Lucka
Tristan van Leeuwen
DiffM
33
0
0
09 Nov 2024
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via
  Multi-modal LLM
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
60
16
0
18 Jun 2024
Video Anomaly Detection in 10 Years: A Survey and Outlook
Video Anomaly Detection in 10 Years: A Survey and Outlook
Moshira Abdalla
Sajid Javed
Muaz Al Radi
Anwaar Ulhaq
Naoufel Werghi
40
2
0
29 May 2024
Harnessing Large Language Models for Training-free Video Anomaly
  Detection
Harnessing Large Language Models for Training-free Video Anomaly Detection
Luca Zanella
Willi Menapace
Massimiliano Mancini
Yiming Wang
Elisa Ricci
VLM
32
20
0
01 Apr 2024
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video
  Object Segmentation
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
42
8
0
18 Mar 2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Chenchen Tao
Chong Wang
Yuexian Zou
Xiaohao Peng
Xiaogang Xu
Jiangbo Qian
40
2
0
02 Mar 2024
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
Jonas Ricker
Denis Lukovnikov
Asja Fischer
30
31
0
31 Jan 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive
  Thresholding for Unsupervised Video Anomaly Detection
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
34
1
0
24 Jan 2024
Diffusion-Based Particle-DETR for BEV Perception
Diffusion-Based Particle-DETR for BEV Perception
Asen Nachkov
Martin Danelljan
D. Paudel
Luc Van Gool
DiffM
37
3
0
18 Dec 2023
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation :
  A Unified Approach
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
Ayush K. Rai
Tarun Krishna
Feiyan Hu
Alexandru Drimbarean
Kevin McGuinness
Alan F. Smeaton
Noel E. O'Connor
45
1
0
27 Nov 2023
A Survey on Video Diffusion Models
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
57
117
0
16 Oct 2023
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and
  Highlight Detection
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection
Henghao Zhao
Kevin Qinghong Lin
Rui Yan
Zechao Li
VGen
DiffM
37
1
0
29 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras
Survey on video anomaly detection in dynamic scenes with moving cameras
Runyu Jiao
Yi Wan
Fabio Poiesi
Yiming Wang
35
9
0
14 Aug 2023
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models
Guy Zamberg
Moshe Salhov
Ofir Lindenbaum
Amir Averbuch
DiffM
29
3
0
23 Jul 2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly
  Detectors
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae-Cătălin Ristea
Florinel-Alin Croitoru
Radu Tudor Ionescu
Marius Popescu
Fahad Shahbaz Khan
M. Shah
ViT
26
20
0
21 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
G. Koulieris
Hubert P. H. Shum
DiffM
29
54
0
07 Jun 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
723
0
02 Mar 2021
Joint Detection and Recounting of Abnormal Events by Learning Deep
  Generic Knowledge
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami
Tao Mei
Shiníchi Satoh
114
228
0
26 Sep 2017
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