70 citations · 109 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…