Stebėti
Ibrahim Sobh
Ibrahim Sobh
Valeo, Senior Expert of AI
Patvirtintas el. paštas valeo.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Deep reinforcement learning for autonomous driving: A survey
BR Kiran, I Sobh, V Talpaert, P Mannion, AA Al Sallab, S Yogamani, ...
IEEE transactions on intelligent transportation systems 23 (6), 4909-4926, 2021
23132021
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
V Talpaert, I Sobh, BR Kiran, P Mannion, S Yogamani, A El-Sallab, ...
VISAPP: International Conference on Computer Vision Theory and Applications, 2019
952019
Yes, we gan: Applying adversarial techniques for autonomous driving
M Uricár, P Krizek, D Hurych, I Sobh, S Yogamani, P Denny
arXiv preprint arXiv:1902.03442, 2019
662019
End-to-end multi-modal sensors fusion system for urban automated driving
I Sobh, L Amin, S Abdelkarim, K Elmadawy, M Saeed, O Abdeltawab, ...
622018
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
AE Sallab, I Sobh, M Zahran, N Essam
ICML Workshop on AI for Autonomous Driving, 2019
552019
An optimized dual classification system for Arabic extractive generic text summarization
I Sobh, N Darwish, M Fayek
Giza, Egypt, 2009
422009
Yolo4d: A spatio-temporal approach for real-time multi-object detection and classification from lidar point clouds
A El Sallab, I Sobh, M Zidan, M Zahran, S Abdelkarim
342018
Adversarial attacks on multi-task visual perception for autonomous driving
I Sobh, A Hamed, VR Kumar, S Yogamani
arXiv preprint arXiv:2107.07449, 2021
292021
Deep reinforcement learning for autonomous driving: A survey. arXiv 2020
BR Kiran, I Sobh, V Talpaert, P Mannion, AAA Sallab, S Yogamani, ...
arXiv preprint arXiv:2002.00444, 0
20
Unsupervised neural sensor models for synthetic lidar data augmentation
AE Sallab, I Sobh, M Zahran, M Shawky
arXiv preprint arXiv:1911.10575, 2019
172019
Comparative study of neuro-evolution algorithms in reinforcement learning for self-driving cars
A AbuZekry, I Sobh, ES Hemayed, M Hadhoud, M Fayek
European Journal of Engineering Science and Technology 2 (4), 60-71, 2019
142019
A trainable Arabic Bayesian extractive generic text summarizer
I Sobh, N Darwish, M Fayek
Proceedings of the Sixth Conference on Language Engineering ESLEC, 49-154, 2006
122006
AA; Yogamani, S.; and Pérez
BR Kiran, I Sobh, V Talpaert, P Mannion, A Sallab
Deep reinforcement learning for autonomous driving: A survey, 2020, 2002
92002
Rl_qoptimizer: a reinforcement learning based query optimizer
M Ramadan, A El-Kilany, HMO Mokhtar, I Sobh
IEEE Access 10, 70502-70515, 2022
82022
Statistical formant speech synthesis for Arabic
A Jafri, I Sobh, A Alkhairy
Arabian Journal for Science and Engineering 40, 3151-3159, 2015
72015
End-to-end multitask learning for driver gaze and head pose estimation
M Ewaisha, M El Shawarby, H Abbas, I Sobh
Electronic Imaging 32, 1-6, 2020
62020
End-to-end 3D-pointcloud semantic segmentation for autonomous driving
M Abdou, M Elkhateeb, I Sobh, A Elsallab
arXiv preprint arXiv:1906.10964, 2019
62019
Evaluation Approaches for an Arabic Extractive Generic Text Summarization System
I Sobh, N Darwish, M Fayek
proceeding of 2nd International Conference on Arabic Language Resource and …, 2009
62009
End-to-End Framework for Fast Learning Asynchronous Agents
I Sobh, N Darwish
NIPS, 32nd Conference on Neural Information Processing Systems, Imitation …, 2018
4*2018
Aspice applicability on new automotive technologies (ai)
E Edwar, S Sameh, I Sobh
European Conference on Software Process Improvement, 430-440, 2022
32022
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Straipsniai 1–20