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Mohammad Sabokrou
Tytuł
Cytowane przez
Cytowane przez
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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
21512017
Adversarially learned one-class classifier for novelty detection
M Sabokrou, M Khalooei, M Fathy, E Adeli
IEEE conference on computer vision and pattern recognition, 3379-3388, 2018
8932018
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
5712018
Vision-based human activity recognition: a survey
DR Beddiar, B Nini, M Sabokrou, A Hadid
Multimedia Tools and Applications 79 (41), 30509-30555, 2020
4482020
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
3172020
Real-time anomaly detection and localization in crowded scenes
M Sabokrou, M Fathy, M Hoseini, R Klette
IEEE conference on computer vision and pattern recognition, 56-62, 2015
2562015
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
2282022
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
2222016
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
1532016
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
1292018
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
1102020
STFCN: spatio-temporal FCN for semantic video segmentation
M Fayyaz, MH Saffar, M Sabokrou, M Fathy, R Klette, F Huang
ACCV, 2016
912016
G2D: Generate to Detect Anomaly
M Pourreza, B Mohammadi, M Khaki, S Bouindour, H Snoussi, ...
IEEE/CVF Winter Conference on Applications of Computer Vision, 2003-2012, 2021
852021
Sign Language Production: A Review
R Rastgoo, K Kiani, S Escalera, M Sabokrou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
742021
Code-bridged classifier (cbc): A low or negative overhead defense for making a cnn classifier robust against adversarial attacks
F Behnia, A Mirzaeian, M Sabokrou, S Manoj, T Mohsenin, ...
2020 21st International Symposium on Quality Electronic Design (ISQED), 27-32, 2020
52*2020
Autoids: auto-encoder based method for intrusion detection system
M Gharib, B Mohammadi, SH Dastgerdi, M Sabokrou
arXiv preprint arXiv:1911.03306, 2019
522019
Self-supervised representation learning via neighborhood-relational encoding
M Sabokrou, M Khalooei, E Adeli
IEEE/CVF international conference on computer vision, 8010-8019, 2019
512019
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
512018
Image/video deep anomaly detection: A survey
B Mohammadi, M Fathy, M Sabokrou
arXiv preprint arXiv:2103.01739, 2021
502021
Fake it until you make it: Towards accurate near-distribution novelty detection
H Mirzaei, M Salehi, S Shahabi, E Gavves, CGM Snoek, M Sabokrou, ...
The eleventh international conference on learning representations, 2022
49*2022
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