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Training Adversarial Discriminators for Cross-channel Abnormal Event
  Detection in Crowds

Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds

23 June 2017
Mahdyar Ravanbakhsh
E. Sangineto
Moin Nabi
N. Sebe
    GAN
ArXivPDFHTML

Papers citing "Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds"

50 / 62 papers shown
Title
Privacy-Preserving Video Anomaly Detection: A Survey
Privacy-Preserving Video Anomaly Detection: A Survey
Jing Liu
Yang Liu
Xiaoguang Zhu
99
2
0
21 Nov 2024
Deep Learning for Video Anomaly Detection: A Review
Deep Learning for Video Anomaly Detection: A Review
Peng Wu
Chengyu Pan
Yuting Yan
Guansong Pang
Peng Wang
Yanning Zhang
VLM
AI4TS
53
6
0
09 Sep 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu
Yang Liu
Jieyu Lin
Jielin Li
Peng Sun
Bo Hu
Liang Song
Azzedine Boukerche
Victor C.M. Leung
Victor C.M. Leung
43
10
0
16 May 2024
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
Shengyang Sun
Xiaojin Gong
42
46
0
23 Mar 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and
  Comparison of Deep Models
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
Yang Liu
Dingkang Yang
Yan Wang
Jing Liu
Jun Liu
Azzedine Boukerche
Peng Sun
Liang Song
41
82
0
10 Feb 2023
CHAD: Charlotte Anomaly Dataset
CHAD: Charlotte Anomaly Dataset
Armin Danesh Pazho
Ghazal Alinezhad Noghre
B. R. Ardabili
Christopher Neff
Hamed Tabkhi
36
13
0
19 Dec 2022
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection
  Network
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network
T. K. Vijay
Yash Raghuwanshi
D. P. Dogra
Heeseung Choi
Ig-Jae Kim
16
18
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
25
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
42
3
0
03 Jul 2022
Anomaly detection using prediction error with Spatio-Temporal
  Convolutional LSTM
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM
Hanh T. M. Tran
David C. Hogg
AI4TS
16
1
0
18 May 2022
Adversarial Machine Learning Attacks Against Video Anomaly Detection
  Systems
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Furkan Mumcu
Keval Doshi
Yasin Yılmaz
AAML
24
9
0
07 Apr 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
17
16
0
25 Mar 2022
Transfer learning for cross-modal demand prediction of bike-share and
  public transit
Transfer learning for cross-modal demand prediction of bike-share and public transit
Mingzhuang Hua
Francisco Camara Pereira
Yu Jiang
Xuewu Chen
AI4TS
29
2
0
17 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
33
40
0
07 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
20
23
0
03 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
24
0
0
13 Feb 2022
Discrete neural representations for explainable anomaly detection
Discrete neural representations for explainable anomaly detection
Stanislaw Szymanowicz
James Charles
R. Cipolla
AAML
AI4TS
FAtt
27
20
0
10 Dec 2021
Reconstruction Student with Attention for Student-Teacher Pyramid
  Matching
Reconstruction Student with Attention for Student-Teacher Pyramid Matching
Shinji Yamada
Kazuhiro Hotta
27
35
0
30 Nov 2021
Applications of Generative Adversarial Networks in Anomaly Detection: A
  Systematic Literature Review
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
Mikael Sabuhi
Ming Zhou
Cor-Paul Bezemer
Petr Musílek
AI4TS
MedIm
31
34
0
22 Oct 2021
Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
29
5
0
01 Sep 2021
Generalized One-Class Learning Using Pairs of Complementary Classifiers
Generalized One-Class Learning Using Pairs of Complementary Classifiers
A. Cherian
Jue Wang
VLM
16
1
0
24 Jun 2021
X-MAN: Explaining multiple sources of anomalies in video
X-MAN: Explaining multiple sources of anomalies in video
Stanislaw Szymanowicz
James Charles
R. Cipolla
AAML
AI4TS
22
18
0
16 Jun 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
26
30
0
16 Jun 2021
MemStream: Memory-Based Streaming Anomaly Detection
MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia
Arjit Jain
Shivin Srivastava
Kenji Kawaguchi
Bryan Hooi
AI4TS
27
15
0
07 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
19
27
0
27 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi
Yasin Yılmaz
35
18
0
21 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for
  Supervised Anomaly Detection
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection
Tomoharu Iwata
Atsutoshi Kumagai
20
2
0
01 Mar 2021
G2D: Generate to Detect Anomaly
G2D: Generate to Detect Anomaly
M. PourReza
Bahram Mohammadi
Mostafa Khaki
Samir Bouindour
H. Snoussi
Mohammad Sabokrou
16
60
0
20 Jun 2020
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Muhammad Umar Karim Khan
Mishal Fatima
C. Kyung
9
0
0
16 Jun 2020
Anomalous Motion Detection on Highway Using Deep Learning
Anomalous Motion Detection on Highway Using Deep Learning
Harpreet Singh
Emily M. Hand
Kostas Alexis
22
10
0
15 Jun 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
26
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
27
221
0
16 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
27
108
0
15 Apr 2020
Towards Anomaly Detection in Dashcam Videos
Towards Anomaly Detection in Dashcam Videos
S. Haresh
Sateesh Kumar
M. Zia
Quoc-Huy Tran
27
30
0
11 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
21
73
0
05 Apr 2020
MIM-Based GAN: Information Metric to Amplify Small Probability Events
  Importance in Generative Adversarial Networks
MIM-Based GAN: Information Metric to Amplify Small Probability Events Importance in Generative Adversarial Networks
R. She
Pingyi Fan
GAN
15
0
0
25 Mar 2020
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
Pourya Shamsolmoali
Masoumeh Zareapoor
Huiyu Zhou
Jie Yang
GAN
23
6
0
18 Mar 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space
  Models
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic
Damian Campo
Mohamad Baydoun
P. Marín
David Martín
L. Marcenaro
C. Regazzoni
DRL
27
13
0
17 Mar 2020
Graph Embedded Pose Clustering for Anomaly Detection
Graph Embedded Pose Clustering for Anomaly Detection
Amir Markovitz
Gilad Sharir
Itamar Friedman
Lihi Zelnik-Manor
S. Avidan
3DH
27
167
0
26 Dec 2019
EvAn: Neuromorphic Event-based Anomaly Detection
EvAn: Neuromorphic Event-based Anomaly Detection
Lakshmi Annamalai
Anirban Chakraborty
Chetan Singh Thakur
27
3
0
21 Nov 2019
Attention Guided Anomaly Localization in Images
Attention Guided Anomaly Localization in Images
Shashanka Venkataramanan
Kuan-Chuan Peng
Rajat Vikram Singh
Abhijit Mahalanobis
30
22
0
19 Nov 2019
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
27
16
0
19 Nov 2019
Combinational Class Activation Maps for Weakly Supervised Object
  Localization
Combinational Class Activation Maps for Weakly Supervised Object Localization
Seunghan Yang
Yoonhyung Kim
Youngeun Kim
Changick Kim
WSOL
14
77
0
12 Oct 2019
Self-Supervised Representation Learning via Neighborhood-Relational
  Encoding
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Mohammad Sabokrou
Mohammad Khalooei
Ehsan Adeli
SSL
14
35
0
27 Aug 2019
Hybrid Deep Network for Anomaly Detection
Hybrid Deep Network for Anomaly Detection
Trong-Nguyen Nguyen
J. Meunier
16
28
0
17 Aug 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
15
3
0
08 Aug 2019
Generative Adversarial Networks for Distributed Intrusion Detection in
  the Internet of Things
Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things
A. Ferdowsi
Walid Saad
15
85
0
03 Jun 2019
Generative Models for Novelty Detection: Applications in abnormal event
  and situational change detection from data series
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series
Mahdyar Ravanbakhsh
19
1
0
09 Apr 2019
Fence GAN: Towards Better Anomaly Detection
Fence GAN: Towards Better Anomaly Detection
Cuong Phuc Ngo
Amadeus Aristo Winarto
C. Kou
Sojeong Park
Farhan Akram
H. Lee
23
93
0
02 Apr 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
12
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