activity
20172021
most citedEnd-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies

70 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection

Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi

Face Presentation Attack Detection (PAD) has drawn increasing attentions to secure the face recognition systems that are widely used in many applications. Conventional face anti-sp…

cs.CV2020

Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study

Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi

Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iri…

cs.CV2019

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad +1

The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few ye…

cs.LG201770 cited

End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies

Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer

Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to training artificial neural networks from front-facing cam…

cs.CV2017

A Hybrid Deep Learning Approach for Texture Analysis

Hussein Adly, Mohamed Moustafa

Texture classification is a problem that has various applications such as remote sensing and forest species recognition. Solutions tend to be custom fit to the dataset used but fai…