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ORCIDIbrahim Sobh
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2020 – today
- 2023
[c9]Ahmed Kamel, Ibrahim Sobh, Walid Al-Atabany:
DAP: A Framework for Driver Attention Prediction. IntelliSys (3) 2023: 70-80- 2022
- [j4]Mohamed Ramadan
, Ayman El-Kilany, Hoda M. O. Mokhtar, Ibrahim Sobh:
RL_QOptimizer: A Reinforcement Learning Based Query Optimizer. IEEE Access 10: 70502-70515 (2022) - [j3]Abdulrahman AbouOuf, Ibrahim Sobh, Mohammad Nasser, Omar Alsaqa, Omar Elezaby, John Zaki:
Multimodel System for Driver Distraction Detection and Elimination. IEEE Access 10: 72458-72469 (2022) - [j2]B. Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23(6): 4909-4926 (2022) - [c8]Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani:
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. Autonomous Vehicles and Machines 2022: 1-9 - [c7]Erin Edwar, Samer Sameh, Ibrahim Sobh:
ASPICE Applicability on New Automotive Technologies (AI). EuroSPI 2022: 430-440 - [c6]Mohammed Hassoubah, Ibrahim Sobh, Mohamed ElHelw:
Study of LiDAR Segmentation and Model's Uncertainty using Transformer for Different Pre-trainings. VISIGRAPP (4: VISAPP) 2022: 1010-1019 - 2021
- [j1]Hesham M. Eraqi, Ibrahim Sobh:
Autonomous driving in the face of unconventional odds. Commun. ACM 64(4): 64-66 (2021) - [c5]M. Abdelkarim, M. K. Abbas, Alaa Osama, Dalia Anwar, Mostafa Azzam, M. Abdelalim, H. Mostafa, Samah El-Tantawy, Ibrahim Sobh:
GG-Net: Gaze Guided Network for Self-driving Cars. Autonomous Vehicles and Machines 2021: 1-8 - [c4]Samer Sameh, Ahmed Alborae, Selina Meza, Damjan Ekert, Ibrahim Sobh, Ahmed Seddik:
Post Pandemic Era: Future of the Automotive Online Assessments. EuroSPI 2021: 423-438 - [i7]Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani:
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. CoRR abs/2107.07449 (2021) - 2020
- [c3]Mahmoud Ewaisha, Marwa El Shawarby, Hazem Abbas, Ibrahim Sobh:
End-to-End Multitask Learning for Driver Gaze and Head Pose Estimation. Autonomous Vehicles and Machines 2020: 1-6 - [i6]Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2002.00444 (2020)
2010 – 2019
- 2019
- [c2]Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying adversarial techniques for autonomous driving. Autonomous Vehicles and Machines 2019: 1-17 - [c1]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP (5: VISAPP) 2019: 564-572 - [i5]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring applications of deep reinforcement learning for real-world autonomous driving systems. CoRR abs/1901.01536 (2019) - [i4]Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR abs/1902.03442 (2019) - [i3]Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Nader Essam:
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving. CoRR abs/1905.07290 (2019) - [i2]Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El Sallab:
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. CoRR abs/1906.10964 (2019) - [i1]Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky:
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation. CoRR abs/1911.10575 (2019)
Coauthor Index
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