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Learning Temporal Regularity in Video Sequences

Learning Temporal Regularity in Video Sequences

15 April 2016
Mahmudul Hasan
Jonghyun Choi
J. Neumann
A. Roy-Chowdhury
L. Davis
ArXivPDFHTML

Papers citing "Learning Temporal Regularity in Video Sequences"

35 / 85 papers shown
Title
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight
  Camera
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Pascal Schneider
Yuriy Anisimov
Raisul Islam
B. Mirbach
J. Rambach
Frédéric Grandidier
D. Stricker
MDE
8
10
0
27 Aug 2021
Weakly-supervised Joint Anomaly Detection and Classification
Weakly-supervised Joint Anomaly Detection and Classification
Snehashis Majhi
Srijan Das
F. Brémond
Ratnakar Dash
Pankaj K. Sa
16
19
0
20 Aug 2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow
  Reconstruction and Flow-Guided Frame Prediction
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu
Yongwei Nie
Chengjiang Long
Qing Zhang
Guiqing Li
19
227
0
16 Aug 2021
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance
  Video
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Jie Wu
Wei Zhang
Guanbin Li
Wenhao Wu
Xiao Tan
Yingying Li
Errui Ding
Liang Lin
16
66
0
09 Aug 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yu-xin Zhang
Yiqiang Chen
Jindong Wang
Zhiwen Pan
AI4TS
13
189
0
27 Jul 2021
Predicting Next Local Appearance for Video Anomaly Detection
Predicting Next Local Appearance for Video Anomaly Detection
Pankaj Raj Roy
Guillaume-Alexandre Bilodeau
Lama Seoud
27
2
0
10 Jun 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly
  Detection
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jianfeng Feng
Fa-Ting Hong
Weishi Zheng
19
240
0
04 Apr 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
21
18
0
21 Mar 2021
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy
  Suppression for Anomalous Event Detection
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
15
133
0
24 Nov 2020
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
19
254
0
15 Nov 2020
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection
  in Surveillance Video
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video
Bo Li
Sam Leroux
Pieter Simoens
17
33
0
10 Nov 2020
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for
  Aerial Surveillance
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance
Ilker Bozcan
Erdal Kayacan
26
27
0
05 Nov 2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame
  Prediction
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
X. Wang
Zhengping Che
Bo Jiang
Ning Xiao
Ke Yang
Jian-Bo Tang
Jieping Ye
Jingyu Wang
Q. Qi
17
136
0
05 Nov 2020
Video Playback Rate Perception for Self-supervisedSpatio-Temporal
  Representation Learning
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
Yuan Yao
Chang-rui Liu
Dezhao Luo
Yu Zhou
QiXiang Ye
18
169
0
20 Jun 2020
Urban Anomaly Analytics: Description, Detection, and Prediction
Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang
Tong Li
Yue Yu
Yong Li
Pan Hui
Yu Zheng
20
75
0
25 Apr 2020
Motion and Region Aware Adversarial Learning for Fall Detection with
  Thermal Imaging
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
V. Mehta
Abhinav Dhall
Sujata Pal
Shehroz S. Khan
9
22
0
17 Apr 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
14
221
0
16 Apr 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
AAML
19
62
0
12 Mar 2020
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in
  Videos
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos
Shikha Dubey
Abhijeet Boragule
M. Jeon
10
29
0
04 Feb 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
19
165
0
26 Dec 2019
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames
  Prediction
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction
Mohamed Chaabane
A. Trabelsi
Nathaniel Blanchard
Ross Beveridge
13
55
0
20 Oct 2019
Multi-timescale Trajectory Prediction for Abnormal Human Activity
  Detection
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
Royston Rodrigues
Neha Bhargava
R. Velmurugan
S. Chaudhuri
14
82
0
12 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
13
3
0
08 Aug 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action
  Classifier for Anomaly Detection
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
13
396
0
18 Mar 2019
Real-Time Anomaly Detection With HMOF Feature
Real-Time Anomaly Detection With HMOF Feature
Huihui Zhu
B. Liu
Guojun Yin
Yan Lu
Weihai Li
Nenghai Yu
23
9
0
12 Dec 2018
Video Anomaly Detection and Localization via Gaussian Mixture Fully
  Convolutional Variational Autoencoder
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
Yaxiang Fan
G. Wen
Deren Li
S. Qiu
M. Levine
DRL
11
211
0
29 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
31
1,368
0
17 May 2018
Detection of Unknown Anomalies in Streaming Videos with Generative
  Energy-based Boltzmann Models
Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models
H. Vu
T. Nguyen
Dinh Q. Phung
8
6
0
03 May 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Christoph Baur
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
UQCV
MedIm
13
440
0
12 Apr 2018
Measurement of exceptional motion in VR video contents for VR sickness
  assessment using deep convolutional autoencoder
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder
Hak Gu Kim
Wissam J. Baddar
Heoun-taek Lim
Hyunwook Jeong
Yong Man Ro
13
63
0
11 Apr 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
16
1,060
0
28 Dec 2017
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
106
227
0
26 Sep 2017
Energy-based Models for Video Anomaly Detection
Energy-based Models for Video Anomaly Detection
H. Vu
Dinh Q. Phung
T. Nguyen
Anthony Trevors
Svetha Venkatesh
24
22
0
17 Aug 2017
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Yong Shean Chong
Yong Haur Tay
21
538
0
06 Jan 2017
Anomaly Detection in Video Using Predictive Convolutional Long
  Short-Term Memory Networks
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
J. Medel
Andreas E. Savakis
DRL
AI4TS
19
238
0
01 Dec 2016
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