Zobrazeno 1 - 10
of 936
pro vyhledávání: '"AbdelRahman, Ahmed"'
Computer vision has advanced research methodologies, enhancing system services across various fields. It is a core component in traffic monitoring systems for improving road safety; however, these monitoring systems don't preserve the privacy of pede
Externí odkaz:
http://arxiv.org/abs/2408.11649
Neuromorphic computing mimics computational principles of the brain in $\textit{silico}$ and motivates research into event-based vision and spiking neural networks (SNNs). Event cameras (ECs) exclusively capture local intensity changes and offer supe
Externí odkaz:
http://arxiv.org/abs/2404.05858
More than six million people died of the COVID-19 by April 2022. The heavy casualties have put people on great and urgent alert and people try to find all kinds of information to keep them from being inflected by the coronavirus. This research tries
Externí odkaz:
http://arxiv.org/abs/2402.19280
Cooperative autonomous driving plays a pivotal role in improving road capacity and safety within intelligent transportation systems, particularly through the deployment of autonomous vehicles on urban streets. By enabling vehicle-to-vehicle communica
Externí odkaz:
http://arxiv.org/abs/2312.06858
Autor:
Abdelrahman, Ahmed
Autonomous Vehicle (AV) technology is advancing rapidly, promising a significant shift in road transportation safety and potentially resolving various complex transportation issues. With the increasing deployment of AVs by various companies, question
Externí odkaz:
http://arxiv.org/abs/2312.04805
Eye contact is a crucial non-verbal interaction modality and plays an important role in our everyday social life. While humans are very sensitive to eye contact, the capabilities of machines to capture a person's gaze are still mediocre. We tackle th
Externí odkaz:
http://arxiv.org/abs/2311.04505
Autor:
Fathy Mohamed Abo Elftouh Elsalhy, Ahmed Hassan Samir Assaf, Sarah Abbas Alshamarti, Noha Fawky Soliman, Abdelrahman Ahmed Ali Khattab, Mahmoud Mohammed Ahmed Ali Khalil, Mahmoud Fawzy Zaky Morsy, Ezzat Nabil Abbas Ibrahim, Ahmad Mohammad Salah Eldeen Abdul Hay, Mohamed Sayed Taha Abouzeid
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background This study aimed to investigate the safety and efficacy of the Yamane technique (flanged intrascleral haptic fixation with double-needle technique /FIHFT) for three-piece intraocular lens (IOL) implantation in Egyptian patients di
Externí odkaz:
https://doaj.org/article/069372ca45f14ee5908ce621a2a2a841
Estimating the head pose of a person is a crucial problem for numerous applications that is yet mainly addressed as a subtask of frontal pose prediction. We present a novel method for unconstrained end-to-end head pose estimation to tackle the challe
Externí odkaz:
http://arxiv.org/abs/2309.07654
Autor:
Dinges, Laslo, Fiedler, Marc-André, Al-Hamadi, Ayoub, Hempel, Thorsten, Abdelrahman, Ahmed, Weimann, Joachim, Bershadskyy, Dmitri
Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. We propose a multimodal approach combining deep learning and discriminative models for automated deception detecti
Externí odkaz:
http://arxiv.org/abs/2307.06625