Mohammad Sabokrou

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Mahmood FathyEmeritus professor computer Engineering, Iran university of science and technologyVerified email at iust.ac.ir
Mohsen FayyazMicrosoftVerified email at microsoft.com
Ehsan AdeliStanford UniversityVerified email at stanford.edu
Reinhard KletteAuckland University of TechnologyVerified email at auckland.ac.nz
Masoud PourrezaComputer Vision researcher at Western UniversityVerified email at uwo.ca
Abdenour HadidFull-time Professor, Sorbonne Center for Artificial Intelligence (SCAI)Verified email at ieee.org
Guoying ZhaoAcademy Professor, IEEE Fellow, Professor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
Mohammad Hossein RohbanComputer Eng. Department, Sharif University of TechnologyVerified email at sharif.edu
Hossein MirzaeiMSc studentVerified email at ce.sharif.edu
Sergio EscaleraProf., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA FellowVerified email at maia.ub.es
Juergen GallUniversity of BonnVerified email at iai.uni-bonn.de
Rahim EntezariTU Graz / CSH ViennaVerified email at tugraz.at
Hichem SnoussiProfessor of Signal and Image Processing, University of Technology of TroyesVerified email at utt.fr
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Mozhgan PourkeshavarzHuawei Noah's Ark LabVerified email at huawei.com
Cees G. M. SnoekProfessor of Computer Science, University of AmsterdamVerified email at uva.nl
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
Jana KoseckaGeorge Mason UniversityVerified email at gmu.edu
Vassilis AthitsosProfessor, Computer Science and Engineering Department, University of Texas at ArlingtonVerified email at uta.edu
Olli SilvenProfessor, Signal Processing Engineering, University of OuluVerified email at oulu.fi

Mohammad Sabokrou

Institute for Research in Fundamental Sciences (IPM)

Verified email at ipm.ir - Homepage

Trustworthy ML Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	582	2018
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	419	2018
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	326	2017
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	205	2015
Vision-based human activity recognition: a survey DR Beddiar, B Nini, M Sabokrou, A Hadid Multimedia Tools and Applications 79 (41), 30509-30555, 2020	183	2020
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	170	2016
Driver behavior detection and classification using deep convolutional neural networks M Shahverdy, M Fathy, R Berangi, M Sabokrou Expert Systems with Applications 149, 113240, 2020	145	2020
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	109	2016
Avid: Adversarial visual irregularity detection M Sabokrou, M Pourreza, M Fayyaz, R Entezari, M Fathy, J Gall, E Adeli Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	96	2019
STFCN: spatio-temporal FCN for semantic video segmentation M Fayyaz, MH Saffar, M Sabokrou, M Fathy, R Klette, F Huang ACCV, 2016	69	2016
Deep end-to-end one-class classifier M Sabokrou, M Fathy, G Zhao, E Adeli IEEE transactions on neural networks and learning systems 32 (2), 675-684, 2020	60	2020
A unified survey on anomaly, novelty, open-set, and out-of-distribution detection: Solutions and future challenges M Salehi, H Mirzaei, D Hendrycks, Y Li, MH Rohban, M Sabokrou Transaction on Machine Learning Research (TMLR), 2022	53	2022
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	44	2018
G2D: Generate to Detect Anomaly M Pourreza, B Mohammadi, M Khaki, S Bouindour, H Snoussi, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	39	2021
Self-supervised representation learning via neighborhood-relational encoding M Sabokrou, M Khalooei, E Adeli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	36	2019
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 Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017	33	2017
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, 965-985, 2017	29	2017
Autoids: Auto-encoder based method for intrusion detection system M Gharib, B Mohammadi, SH Dastgerdi, M Sabokrou arXiv preprint arXiv:1911.03306, 2019	28	2019
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	25	2015
Deep-hr: Fast heart rate estimation from face video under realistic conditions M Sabokrou, M Pourreza, X Li, M Fathy, G Zhao Expert Systems with Applications 186, 115596, 2021	24	2021

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