81 citations · 197 across the 15 of their papers we have counts for
16 papers
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
Mahmoud M. Kishky, Hesham M. Eraqi, Khaled F. Elsayed
Autonomous driving involves complex tasks such as data fusion, object and lane detection, behavior prediction, and path planning. As opposed to the modular approach which dedicates…
The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses
Mahmoud Ahmed, Omer Moussa, Ismail Shaheen +5
One of the major challenges in training deep neural networks for text-to-image generation is the significant linguistic discrepancy between ground-truth captions of each image in m…
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
Marwah Sulaiman, Zahraa Shehabeldin, Israa Fahmy +5
Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications. In this paper, we propose Recurrent Back-Pro…
Dynamic Conditional Imitation Learning for Autonomous Driving
Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer
Conditional imitation learning (CIL) trains deep neural networks, in an end-to-end manner, to mimic human driving. This approach has demonstrated suitable vehicle control when foll…
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models
Hadeel Mabrouk, Omar Abugabal, Nourhan Sakr +1
In this work, we propose a technique to transfer speech recognition capabilities from audio speech recognition systems to visual speech recognizers, where our goal is to utilize au…
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks
Hesham M. Eraqi, Mena Nagiub, Peter Sidra
Collision avoidance systems play a vital role in reducing the number of vehicle accidents and saving human lives. This paper extends the previous work using evolutionary neural net…
ASMDD: Arabic Speech Mispronunciation Detection Dataset
Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi
The largest dataset of Arabic speech mispronunciation detections in Egyptian dialogues is introduced. The dataset is composed of annotated audio files representing the top 100 word…
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation
Amr S. Mohamed, Ali Abdelkader, Mohamed Anany +5
LiDARs and cameras are the two main sensors that are planned to be included in many announced autonomous vehicles prototypes. Each of the two provides a unique form of data from a…
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
Shahd Elashmawy, Marian Ramsis, Hesham M. Eraqi +4
Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of…
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed +3
Due to the mass advancement in ubiquitous technologies nowadays, new pervasive methods have come into the practice to provide new innovative features and stimulate the research on…
End-to-end sensor modeling for LiDAR Point Cloud
Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky +2
Advanced sensors are a key to enable self-driving cars technology. Laser scanner sensors (LiDAR, Light Detection And Ranging) became a fundamental choice due to its long-range and…
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…
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps
Hesham M. Eraqi, Jens Honer, Sebastian Zuther
Drivable free space information is vital for autonomous vehicles that have to plan evasive maneuvers in real-time. In this paper, we present a new efficient method for environmenta…
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…
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…