81 citations · 245 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
Real-time Distracted Driver Posture Classification
Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa
In this paper, we present a new dataset for "distracted driver" posture estimation. In addition, we propose a novel system that achieves 95.98% driving posture estimation classific…
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…
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga, Ola S. Ali, Hager Rady +1
In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR…
Reactive Collision Avoidance using Evolutionary Neural Networks
Hesham Eraqi, Youssef EmadEldin, Mohamed Moustafa
Collision avoidance systems can play a vital role in reducing the number of accidents and saving human lives. In this paper, we introduce and validate a novel method for vehicles r…
House price estimation from visual and textual features
Eman Ahmed, Mohamed Moustafa
Most existing automatic house price estimation systems rely only on some textual data like its neighborhood area and the number of rooms. The final price is estimated by a human ag…
GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms
Mai Tolba, Mohamed Moustafa
Boosted cascade of simple features, by Viola and Jones, is one of the most famous object detection frameworks. However, it suffers from a lengthy training process. This is due to t…
Applying deep learning to classify pornographic images and videos
Mohamed Moustafa
It is no secret that pornographic material is now a one-click-away from everyone, including children and minors. General social media networks are striving to isolate adult images…