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ORCIDAhmad El Sallab
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2020 – today
- 2022
[j1]Eslam Mohamed Bakr
, Ahmad El Sallab, Mohsen A. Rashwan:
EMCA: Efficient Multiscale Channel Attention Module. IEEE Access 10: 103447-103461 (2022)- [i23]Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan:
PKCAM: Previous Knowledge Channel Attention Module. CoRR abs/2211.07521 (2022) - 2021
- [c13]Eslam Mohamed, Ahmad El Sallab:
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation. ITSC 2021: 1470-1475 - [c12]Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani:
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving. ITSC 2021: 1503-1508 - [c11]Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. ITSC 2021: 1962-1967 - [c10]Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Waleed Hamdy, Mohamed El-Dakdouky, Ahmad El Sallab:
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline. IV 2021: 114-121 - [c9]Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciarán Eising, Ahmad El Sallab, Senthil Kumar Yogamani:
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. WACV 2021: 2271-2279 - [i22]Eslam Mohamed, Abdelrahman Shaker, Hazem Rashed, Ahmad El Sallab, Mayada Hadhoud:
INSTA-YOLO: Real-Time Instance Segmentation. CoRR abs/2102.06777 (2021) - [i21]Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. CoRR abs/2104.10985 (2021) - [i20]Eslam Mohamed, Ahmad El Sallab:
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation. CoRR abs/2106.11401 (2021) - [i19]Eslam Mohamed, Ahmad El Sallab:
MODETR: Moving Object Detection with Transformers. CoRR abs/2106.11422 (2021) - [i18]Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani:
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving. CoRR abs/2107.04937 (2021) - [i17]Eslam Mohamed, Ahmad El Sallab:
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer. CoRR abs/2107.05887 (2021) - 2020
- [i16]Abdullah Tarek Farag, Ahmed Raafat Abd El-Wahab, Mahmoud Nada, Mohamed Yasser Abd El-Hakeem, Omar Sayed Mahmoud, Reem Khaled Rashwan, Ahmad El Sallab:
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans. CoRR abs/2008.01973 (2020) - [i15]Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab:
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving. CoRR abs/2008.07008 (2020) - [i14]Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El Sallab, Senthil Kumar Yogamani:
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. CoRR abs/2012.02124 (2020)
2010 – 2019
- 2019
- [c8]Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw:
Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. CVPR Workshops 2019: 364-370 - [c7]Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani:
FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving. ICCV Workshops 2019: 2393-2402 - [c6]Khaled El Madawi, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani:
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. ITSC 2019: 7-12 - [c5]Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw:
Optical Flow Augmented Semantic Segmentation Networks for Automated Driving. VISIGRAPP (5: VISAPP) 2019: 165-172 - [c4]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 - [i13]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) - [i12]Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw:
Optical Flow augmented Semantic Segmentation networks for Automated Driving. CoRR abs/1901.07355 (2019) - [i11]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) - [i10]Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani:
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. CoRR abs/1906.00208 (2019) - [i9]Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El Sallab:
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. CoRR abs/1906.10964 (2019) - [i8]Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani:
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving. CoRR abs/1910.05395 (2019) - [i7]Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky:
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation. CoRR abs/1911.10575 (2019) - [i6]Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving. CoRR abs/1912.00438 (2019) - 2018
- [c3]Waleed Ali, Sherif Abdelkarim, Mahmoud Zidan, Mohamed Zahran, Ahmad El Sallab:
YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. ECCV Workshops (3) 2018: 716-728 - [c2]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving. ITSC 2018: 2859-2864 - [i5]Waleed Ali, Sherif Abdelkarim, Mohamed Zahran, Mahmoud Zidan, Ahmad El Sallab:
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. CoRR abs/1808.02350 (2018) - 2017
- [c1]Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani:
Deep Reinforcement Learning framework for Autonomous Driving. Autonomous Vehicles and Machines 2017: 70-76 - [i4]Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani:
Deep Reinforcement Learning framework for Autonomous Driving. CoRR abs/1704.02532 (2017) - [i3]Ahmad El Sallab, Mahmoud Saeed, Omar Abdel Tawab, Mohammed Abdou:
Meta learning Framework for Automated Driving. CoRR abs/1706.04038 (2017) - [i2]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving. CoRR abs/1709.04821 (2017) - 2016
- [i1]Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani:
End-to-End Deep Reinforcement Learning for Lane Keeping Assist. CoRR abs/1612.04340 (2016)
Coauthor Index
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