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STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection

STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection

23 April 2018
Sangmin Lee
Hak Gu Kim
Yong Man Ro
    3DPCGAN
ArXiv (abs)PDFHTML

Papers citing "STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection"

29 / 29 papers shown
Title
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
Andi Xu
Hongsong Wang
Pinle Ding
Jie Gui
DiffMVGen
211
2
0
23 Dec 2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching
  for Video Anomaly Detection
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
Jakub Micorek
Horst Possegger
Dominik Narnhofer
Horst Bischof
Mateusz Koziñski
103
11
0
21 Mar 2024
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
105
3
0
27 Nov 2023
PseudoBound: Limiting the anomaly reconstruction capability of one-class
  classifiers using pseudo anomalies
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
Marcella Astrid
M. Zaheer
Seung-Ik Lee
85
19
0
19 Mar 2023
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
Mengyang Zhao
Xinhua Zeng
Yang Liu
Jing Liu
Di Li
Xinhua Zeng
Chengxin Pang
83
12
0
14 Nov 2022
Exploiting Spatial-temporal Correlations for Video Anomaly Detection
Exploiting Spatial-temporal Correlations for Video Anomaly Detection
Mengyang Zhao
Yang Liu
Jing Li
Xinhua Zeng
76
15
0
02 Nov 2022
Augment to Detect Anomalies with Continuous Labelling
Augment to Detect Anomalies with Continuous Labelling
Vahid Reza Khazaie
A. Wong
Y. Mohsenzadeh
129
1
0
03 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent
  Space
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie
A. Wong
John Taylor Jewell
Y. Mohsenzadeh
AAML
123
4
0
03 Jul 2022
Stabilizing Adversarially Learned One-Class Novelty Detection Using
  Pseudo Anomalies
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
M. Zaheer
Jin-ha Lee
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
AAML
75
17
0
25 Mar 2022
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly
  Detection
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection
Chaewon Park
Minhyeok Lee
Myeongah Cho
Sangyoun Lee
33
0
0
13 Feb 2022
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for
  Anomaly Detection in Videos
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos
Xianling Zeng
Yalong Jiang
Wenrui Ding
Hongguang Li
Yafeng Hao
Zifeng Qiu
79
58
0
08 Dec 2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly
  Detection
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Cătălin Ristea
Neelu Madan
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
128
196
0
17 Nov 2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae
Andrei Florescu
Mariana-Iuliana Georgescu
Tudor Mare
Paul Sumedrea
Radu Tudor Ionescu
Fahad Shahbaz Khan
M. Shah
AI4TS
104
97
0
16 Nov 2021
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
86
47
0
19 Oct 2021
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Chaewon Park
Myeongah Cho
Minhyeok Lee
Sangyoun Lee
73
31
0
16 Jun 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context
  Masking for Novelty Detection
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
John Taylor Jewell
Vahid Reza Khazaie
Y. Mohsenzadeh
56
28
0
27 Mar 2021
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies
M. PourReza
Mohammadreza Salehi
Mohammad Sabokrou
135
13
0
18 Mar 2021
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
SSL
108
258
0
15 Nov 2020
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit
  Latent Features
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
Myeongah Cho
Taeoh Kim
Woojin Kim
Suhwan Cho
Sangyoun Lee
98
95
0
15 Oct 2020
Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets
  and Context Mining
Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets and Context Mining
Chongke Wu
Sicong Shao
Cihan Tunc
Salim Hariri
29
19
0
06 Oct 2020
A Background-Agnostic Framework with Adversarial Training for Abnormal
  Event Detection in Video
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
131
162
0
27 Aug 2020
Master-Auxiliary: an efficient aggregation strategy for video anomaly
  detection
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection
Zhiguo Wang
Yujin Zhang
Guijin Wang
82
4
0
24 May 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier
  Training Paradigm
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
M. Zaheer
Jin-ha Lee
Marcella Astrid
Seung-Ik Lee
AAML
113
222
0
16 Apr 2020
A Promotion Method for Generation Error Based Video Anomaly Detection
A Promotion Method for Generation Error Based Video Anomaly Detection
Zhiguo Wang
Zhongliang Yang
Yujin Zhang
143
16
0
19 Nov 2019
What goes around comes around: Cycle-Consistency-based Short-Term Motion
  Prediction for Anomaly Detection using Generative Adversarial Networks
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks
T. Golda
Nils Murzyn
Chengchao Qu
K. Kroschel
22
3
0
08 Aug 2019
Generative Guiding Block: Synthesizing Realistic Looking Variants
  Capable of Even Large Change Demands
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands
Minho Park
Hak Gu Kim
Yong Man Ro
31
3
0
02 Jul 2019
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan
Jacob Nogas
Alex Mihailidis
38
22
0
19 May 2019
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
83
138
0
24 Jan 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
187
1,500
0
10 Jan 2019
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