עקוב אחר
Mohammad Sabokrou
Mohammad Sabokrou
Okinawa Institute of Science and Technology
כתובת אימייל מאומתת בדומיין oist.jp - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
21852017
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
9052018
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
5752018
Vision-based human activity recognition: a survey‏
DR Beddiar, B Nini, M Sabokrou, A Hadid‏
Multimedia Tools and Applications 79 (41), 30509-30555, 2020‏
4662020
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
3402020
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
2572022
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
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
2252016
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
1572016
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
1352018
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
1142020
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
932021
STFCN: spatio-temporal FCN for semantic video segmentation‏
M Fayyaz, MH Saffar, M Sabokrou, M Fathy, R Klette, F Huang‏
ACCV, 2016‏
872016
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
862021
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
56*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
552018
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
54*2020
Image/video deep anomaly detection: A survey‏
B Mohammadi, M Fathy, M Sabokrou‏
arXiv preprint arXiv:2103.01739, 2021‏
532021
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
522021
Autoids: Auto-encoder based method for intrusion detection system‏
M Gharib, B Mohammadi, SH Dastgerdi, M Sabokrou‏
arXiv preprint arXiv:1911.03306, 2019‏
512019
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מאמרים 1–20