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Real-world Anomaly Detection in Surveillance Videos
v1v2v3 (latest)

Real-world Anomaly Detection in Surveillance Videos

12 January 2018
Waqas Sultani
Chen Chen
M. Shah
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Real-world Anomaly Detection in Surveillance Videos"

50 / 515 papers shown
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Fine-grained Anomaly Detection via Multi-task Self-SupervisionAdvanced Video and Signal Based Surveillance (AVSS), 2021
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
290
7
0
20 Apr 2021
An Efficient Approach for Anomaly Detection in Traffic Videos
An Efficient Approach for Anomaly Detection in Traffic Videos
Keval Doshi
Yasin Yılmaz
191
16
0
20 Apr 2021
Weakly Supervised Video Anomaly Detection via Center-guided
  Discriminative Learning
Weakly Supervised Video Anomaly Detection via Center-guided Discriminative LearningIEEE International Conference on Multimedia and Expo (ICME), 2020
Boyang Wan
Yuming Fang
Xue Xia
Jiajie Mei
166
170
0
15 Apr 2021
Global Information Guided Video Anomaly Detection
Global Information Guided Video Anomaly DetectionACM Multimedia (ACM MM), 2020
Hui Lv
Chunyan Xu
Zhen Cui
100
5
0
14 Apr 2021
Context-Dependent Anomaly Detection for Low Altitude Traffic
  Surveillance
Context-Dependent Anomaly Detection for Low Altitude Traffic SurveillanceIEEE International Conference on Robotics and Automation (ICRA), 2021
Ilker Bozcan
Erdal Kayacan
141
28
0
14 Apr 2021
Learning Normal Dynamics in Videos with Meta Prototype Network
Learning Normal Dynamics in Videos with Meta Prototype NetworkComputer Vision and Pattern Recognition (CVPR), 2021
Hui Lv
Chong Chen
Zhen Cui
Chunyan Xu
Yong Li
Zhiqiang Wang
216
194
0
14 Apr 2021
ADNet: Temporal Anomaly Detection in Surveillance Videos
ADNet: Temporal Anomaly Detection in Surveillance Videos
H. Öztürk
Ahmet Burak Can
279
17
0
14 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2021
Chun-Liang Li
Kihyuk Sohn
Chang Jo Kim
Tomas Pfister
SSLUQCV
238
1,038
0
08 Apr 2021
MRI-based Alzheimer's disease prediction via distilling the knowledge in
  multi-modal data
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal dataNeuroImage (NeuroImage), 2021
Hao Guan
Chaoyue Wang
Dacheng Tao
232
41
0
08 Apr 2021
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal
  Action Localization
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Sanqing Qu
Guang Chen
Zhijun Li
Lijun Zhang
Fan Lu
Alois C. Knoll
181
61
0
07 Apr 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly
  Detection
MIST: Multiple Instance Self-Training Framework for Video Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2021
Jianfeng Feng
Fa-Ting Hong
Weishi Zheng
245
317
0
04 Apr 2021
Learning by Aligning Videos in Time
Learning by Aligning Videos in TimeComputer Vision and Pattern Recognition (CVPR), 2021
S. Haresh
Sateesh Kumar
Huseyin Coskun
S. N. Syed
Andrey Konin
M. Zia
Quoc-Huy Tran
AI4TS
223
78
0
31 Mar 2021
Augmented Transformer with Adaptive Graph for Temporal Action Proposal
  Generation
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation
Shuning Chang
Pichao Wang
F. Wang
Hao Li
Jiashi Feng
ViT
223
46
0
30 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video AnomaliesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Keval Doshi
Yasin Yılmaz
177
18
0
21 Mar 2021
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies
M. PourReza
Mohammadreza Salehi
Mohammad Sabokrou
397
13
0
18 Mar 2021
Behavior-Driven Synthesis of Human Dynamics
Behavior-Driven Synthesis of Human DynamicsComputer Vision and Pattern Recognition (CVPR), 2021
A. Blattmann
Timo Milbich
Michael Dorkenwald
Bjorn Ommer
151
16
0
08 Mar 2021
Image/Video Deep Anomaly Detection: A Survey
Image/Video Deep Anomaly Detection: A Survey
Bahram Mohammadi
M. Fathy
Mohammad Sabokrou
136
43
0
02 Mar 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature
  Magnitude Learning
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude LearningIEEE International Conference on Computer Vision (ICCV), 2021
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
480
431
0
25 Jan 2021
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent
  Neural Networks
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural NetworksIEEE Conference on Computer Communications (INFOCOM), 2021
F. Hejazi
Katarina Vuckovic
Nazanin Rahnavard
190
27
0
19 Jan 2021
Anomaly Recognition from surveillance videos using 3D Convolutional
  Neural Networks
Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks
Ramna Maqsood
UI. Bajwa
Gulshan Saleem
R. H. Raza
MW. Anwar
207
3
0
04 Jan 2021
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly
  Detection
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly DetectionInternational Conference on Machine Learning and Applications (ICMLA), 2020
Teguh Budianto
Tomohiro Nakai
Kazunori Imoto
Takahiro Takimoto
Kosuke Haruki
GAN
133
3
0
22 Dec 2020
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
F. V. Massoli
Fabrizio Falchi
Alperen Kantarci
cSeymanur Akti
H. K. Ekenel
Giuseppe Amato
469
81
0
09 Dec 2020
Skeleon-Based Typing Style Learning For Person Identification
Skeleon-Based Typing Style Learning For Person Identification
Lior Gelberg
D. Mendlovic
D. Raviv
3DH
171
1
0
06 Dec 2020
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity
  Detection
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Kellie Corona
Katie Osterdahl
Roderic Collins
A. Hoogs
114
75
0
02 Dec 2020
Annotation-Efficient Untrimmed Video Action Recognition
Annotation-Efficient Untrimmed Video Action RecognitionACM Multimedia (ACM MM), 2020
Yixiong Zou
Shanghang Zhang
Guangyao Chen
Yonghong Tian
Kurt Keutzer
J. M. F. Moura
155
9
0
30 Nov 2020
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 DetectionEuropean Conference on Computer Vision (ECCV), 2020
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
304
163
0
24 Nov 2020
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule
  endoscopy based on weakly labeled data
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled dataComputer Vision and Image Understanding (CVIU), 2020
A. Mohammed
I. Farup
Marius Pedersen
Sule YAYILGAN YILDIRIM
Ø. Hovde
166
18
0
22 Nov 2020
Consistency-Aware Graph Network for Human Interaction Understanding
Consistency-Aware Graph Network for Human Interaction Understanding
Zhenhua Wang
Jiajun Meng
Dongyan Guo
Jianhua Zhang
Javen Qinfeng Shi
Shengyong Chen
GNN
220
3
0
20 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2020
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
SSL
448
316
0
15 Nov 2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame
  Prediction
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xinyu Wang
Zhengping Che
Bo Jiang
Ning Xiao
Ke Yang
Yong Dai
Jieping Ye
Jingyu Wang
Q. Qi
244
178
0
05 Nov 2020
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for
  Single Image Deraining
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image DerainingAsian Conference on Computer Vision (ACCV), 2020
Kohei Yamamichi
Xianhua Han
166
3
0
19 Oct 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
413
104
0
15 Oct 2020
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study
  of SHAP TreeExplainer and TreeInterpreter
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter
Pulkit Sharma
Shezan Rohinton Mirzan
Apurva Bhandari
Anish Pimpley
Abhiram Eswaran
Soundar Srinivasan
Liqun Shao
FAtt
171
15
0
13 Oct 2020
Detecting Anomalies from Video-Sequences: a Novel Descriptor
Detecting Anomalies from Video-Sequences: a Novel Descriptor
G. Orrú
Davide Ghiani
Maura Pintor
G. L. Marcialis
Fabio Roli
123
7
0
13 Oct 2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds
  on False Alarm Rate
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm RatePattern Recognition (Pattern Recognit.), 2020
Keval Doshi
Y. Yilmaz
572
110
0
10 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
268
5
0
05 Oct 2020
A Survey on Deep Learning Techniques for Video Anomaly Detection
A Survey on Deep Learning Techniques for Video Anomaly Detection
Jessie James P. Suarez
P. Naval
AI4TS
144
39
0
29 Sep 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 VideoIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
634
209
0
27 Aug 2020
A Self-Reasoning Framework for Anomaly Detection Using Video-Level
  Labels
A Self-Reasoning Framework for Anomaly Detection Using Video-Level LabelsIEEE Signal Processing Letters (IEEE SPL), 2020
M. Zaheer
Arif Mahmood
Ho-chul Shin
Seung-Ik Lee
161
95
0
27 Aug 2020
Localizing Anomalies from Weakly-Labeled Videos
Localizing Anomalies from Weakly-Labeled Videos
Hui Lv
Chuanwei Zhou
Chunyan Xu
Zhen Cui
Zhiqiang Wang
193
159
0
20 Aug 2020
Detecting Suspicious Behavior: How to Deal with Visual Similarity
  through Neural Networks
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks
Guillermo A. Martínez-Mascorro
J. C. Ortíz-Bayliss
Hugo Terashima-Marín
87
1
0
30 Jul 2020
MINI-Net: Multiple Instance Ranking Network for Video Highlight
  Detection
MINI-Net: Multiple Instance Ranking Network for Video Highlight DetectionEuropean Conference on Computer Vision (ECCV), 2020
Fa-Ting Hong
Xuanteng Huang
Weihong Li
Weishi Zheng
251
73
0
20 Jul 2020
Not only Look, but also Listen: Learning Multimodal Violence Detection
  under Weak Supervision
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak SupervisionEuropean Conference on Computer Vision (ECCV), 2020
Peng Wu
Jing Liu
Yujia Shi
Yujia Sun
Fang Shao
Zhaoyang Wu
Zhiwei Yang
263
428
0
09 Jul 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
314
1,176
0
06 Jul 2020
Multiple Instance-Based Video Anomaly Detection using Deep Temporal
  Encoding-Decoding
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
326
61
0
03 Jul 2020
Low-light Environment Neural Surveillance
Low-light Environment Neural Surveillance
Michael Potter
Henry Gridley
Noah Lichtenstein
Kevin Hines
John Nguyen
Jacob Walsh
53
5
0
02 Jul 2020
A Real-time Action Representation with Temporal Encoding and Deep
  Compression
A Real-time Action Representation with Temporal Encoding and Deep Compression
Kun Liu
Wu Liu
Huadong Ma
Zhuliang Yu
Chuang Gan
124
39
0
17 Jun 2020
Self-Supervised Representation Learning for Visual Anomaly Detection
Self-Supervised Representation Learning for Visual Anomaly Detection
Rabia Ali
Muhammad Umar Karim Khan
C. Kyung
SSL
111
18
0
17 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
112
0
0
16 Jun 2020
Anomaly Detection Based on Deep Learning Using Video for Prevention of
  Industrial Accidents
Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents
S. Hashimoto
Yonghoon Ji
K. Kudo
Takayuki Takahashi
K. Umeda
40
3
0
28 May 2020
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