Mohammad Sabokrou
Title
Cited by
Cited by
Year
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes
M Sabokrou, M Fayyaz, M Fathy, Z Moayed, R Klette
Computer Vision and Image Understanding 172, 88-97, 2018
1262018
Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes
M Sabokrou, M Fayyaz, M Fathy, R Klette
IEEE Transactions on Image Processing 26 (4), 1992-2004, 2017
1012017
Real-time anomaly detection and localization in crowded scenes
M Sabokrou, M Fathy, M Hoseini, R Klette
Proceedings of the IEEE conference on computer vision and pattern …, 2015
892015
Adversarially learned one-class classifier for novelty detection
M Sabokrou, M Khalooei, M Fathy, E Adeli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
882018
Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder
M Sabokrou, M Fathy, M Hoseini
Electronics Letters 52 (13), 1122-1124, 2016
532016
Lets keep it simple, using simple architectures to outperform deeper and more complex architectures
SH HasanPour, M Rouhani, M Fayyaz, M Sabokrou
arXiv preprint arXiv:1608.06037, 2016
43*2016
STFCN: spatio-temporal fully convolutional neural network for semantic segmentation of street scenes
M Fayyaz, MH Saffar, M Sabokrou, M Fathy, F Huang, R Klette
Asian Conference on Computer Vision, 493-509, 2016
372016
Avid: Adversarial visual irregularity detection
M Sabokrou, M Pourreza, M Fayyaz, R Entezari, M Fathy, J Gall, E Adeli
Asian Conference on Computer Vision, 488-505, 2018
152018
Online signature verification based on feature representation
M Fayyaz, MH Saffar, M Sabokrou, M Hoseini, M Fathy
2015 The International Symposium on Artificial Intelligence and Signal …, 2015
152015
Towards principled design of deep convolutional networks: introducing SimpNet
SH Hasanpour, M Rouhani, M Fayyaz, M Sabokrou, E Adeli
arXiv preprint arXiv:1802.06205, 2018
132018
Feature representation for online signature verification
M Fayyaz, M Hajizadeh_Saffar, M Sabokrou, M Fathy
arXiv preprint arXiv:1505.08153, 2015
12*2015
Solving heterogeneous coverage problem in Wireless Multimedia Sensor Networks in a dynamic environment using Evolutionary Strategies
H Fayyazi, M Sabokrou, M Hosseini, A Sabokrou
2011 1st International eConference on Computer and Knowledge Engineering …, 2011
12*2011
A novel approach for Finger Vein verification based on self-taught learning
M Fayyaz, M Hajizadeh-Saffar, M Sabokrou, M Hoseini, M Fathy
2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), 88-91, 2015
112015
Fast and accurate detection and localization of abnormal behavior in crowded scenes
M Sabokrou, M Fathy, Z Moayed, R Klette
Machine Vision and Applications 28 (8), 965-985, 2017
92017
Intelligent target tracking in Wireless Visual Sensor Networks
M Sabokrou, M Fathy, M Hoseni
2012 2nd International eConference on Computer and Knowledge Engineering …, 2012
72012
M. sabokrou
H Fayyazi
M. hoseini,“Solving heterogeneous coverage problem in Wireless Multimedia …, 0
5
An evolvable fuzzy logic system for handoff managementin heterogeneous wireless networks
H Fayyazi, M Sabokrou
2012 2nd International eConference on Computer and Knowledge Engineering …, 2012
42012
Semantic video segmentation: A review on recent approaches
MH Saffar, M Fayyaz, M Sabokrou, M Fathy
arXiv preprint arXiv:1806.06172, 2018
32018
End-to-end adversarial learning for intrusion detection in computer networks
B Mohammadi, M Sabokrou
IEEE Conference on Local Computer Networks (LCN), 2019
22019
Mobile target tracking in non-overlapping wireless visual sensor Networks using Neural Networks
M Sabokrou, M Fathy, M Hosseini
ICCKE 2013, 309-314, 2013
22013
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Articles 1–20