| 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 | 2185 | 2017 |
| 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 | 912 | 2018 |
| Vehicular ad hoc networks (VANETs): challenges and perspectives S Yousefi, MS Mousavi, M Fathy 2006 6th international conference on ITS telecommunications, 761-766, 2006 | 854 | 2006 |
| 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, 2018 | 577 | 2018 |
| Bi-directional ConvLSTM U-Net with densley connected convolutions R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 536 | 2019 |
| A classified and comparative study of edge detection algorithms M Sharifi, M Fathy, MT Mahmoudi Information Technology: Coding and Computing, 2002. Proceedings …, 2002 | 523 | 2002 |
| Analytical model for connectivity in vehicular ad hoc networks S Yousefi, E Altman, R El-Azouzi, M Fathy IEEE Transactions on Vehicular Technology 57 (6), 3341-3356, 2008 | 410 | 2008 |
| 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 | 337 | 2020 |
| 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 | 259 | 2015 |
| An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis M Fathy, MY Siyal Pattern Recognition Letters 16 (12), 1321-1330, 1995 | 233 | 1995 |
| 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 | 227 | 2016 |
| An Iranian license plate recognition system based on color features AH Ashtari, MJ Nordin, M Fathy IEEE transactions on intelligent transportation systems 15 (4), 1690-1705, 2014 | 225 | 2014 |
| A driver face monitoring system for fatigue and distraction detection MH Sigari, M Fathy, M Soryani International journal of vehicular technology 2013 (1), 263983, 2013 | 191 | 2013 |
| Enhancing AODV routing protocol using mobility parameters in VANET O Abedi, M Fathy, J Taghiloo 2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008 | 155 | 2008 |
| A window-based image processing technique for quantitative and qualitative analysis of road traffic parameters M Fathy, MY Siyal IEEE Transactions on Vehicular Technology 47 (4), 1342-1349, 1998 | 149 | 1998 |
| Application of pattern recognition for Farsi license plate recognition A Broumandnia, M Fathy ICGST Int. Conf. Graphics, Vision and Image Processing (GVIP), 25-31, 2005 | 146 | 2005 |
| Attention deeplabv3+: Multi-level context attention mechanism for skin lesion segmentation R Azad, M Asadi-Aghbolaghi, M Fathy, S Escalera European conference on computer vision, 251-266, 2020 | 144 | 2020 |
| A review on driver face monitoring systems for fatigue and distraction detection MH Sigari, MR Pourshahabi, M Soryani, M Fathy International Journal of Advanced Science and Technology 64, 73-100, 2014 | 134 | 2014 |
| 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 | 131 | 2018 |
| A new robust watermarking scheme based on RDWT-SVD S Lagzian, M Soryani, M Fathy International Journal of Intelligent Information Processing 2 (1), 22-29, 2011 | 115 | 2011 |
Mohammad SabokrouOkinawa Institute of Science and Technology確認したメール アドレス: oist.jp
