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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
    3DPC
    GAN
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Papers citing "STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection"

12 / 12 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
DiffM
VGen
25
0
0
23 Dec 2024
Exploiting Spatial-temporal Correlations for Video Anomaly Detection
Exploiting Spatial-temporal Correlations for Video Anomaly Detection
Mengyang Zhao
Yang Liu
Jing Li
Xinhua Zeng
22
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
20
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
23
3
0
03 Jul 2022
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
F. Khan
M. Shah
AI4TS
25
86
0
16 Nov 2021
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
13
46
0
19 Oct 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
11
27
0
27 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
F. Khan
Marius Popescu
M. Shah
SSL
22
254
0
15 Nov 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
16
221
0
16 Apr 2020
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
13
3
0
08 Aug 2019
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan
Jacob Nogas
Alex Mihailidis
19
22
0
19 May 2019
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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