Ahmad El Sallab

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 37

Top Topics

Grand Challenge

Semantic Segmentation

Reinforcement Learning

Object Detection

Top Venues

VISIGRAPP (5: VISAPP)

ECCV Workshops (3)

Publications

Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan
EMCA: Efficient Multiscale Channel Attention Module. IEEE Access 10 (2022)
Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan
PKCAM: Previous Knowledge Channel Attention Module. CoRR (2022)
Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. ITSC (2021)
Eslam Mohamed, Abdelrahman Shaker, Hazem Rashed, Ahmad El Sallab, Mayada Hadhoud
INSTA-YOLO: Real-Time Instance Segmentation. CoRR (2021)
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)
Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. CoRR (2021)
Eslam Mohamed, Ahmad El Sallab
MODETR: Moving Object Detection with Transformers. CoRR (2021)
Eslam Mohamed, Ahmad El Sallab
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation. ITSC (2021)
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)
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)
Eslam Mohamed, Ahmad El Sallab
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer. CoRR (2021)
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 (2021)
Eslam Mohamed, Ahmad El Sallab
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation. CoRR (2021)
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 (2020)
Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving. CoRR (2020)
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 (2020)
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)
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)
Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation. CoRR (2019)
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)
Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El Sallab
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. CoRR (2019)
Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw
Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. CVPR Workshops (2019)
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 (2019)
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 (2019)
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 (2019)
Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving. CoRR (2019)
Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw
Optical Flow augmented Semantic Segmentation networks for Automated Driving. CoRR (2019)
Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Nader Essam
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving. CoRR (2019)
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)
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)
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)
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 (2018)
Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
Deep Reinforcement Learning framework for Autonomous Driving. Autonomous Vehicles and Machines (2017)
Ahmad El Sallab, Mahmoud Saeed, Omar Abdel Tawab, Mohammed Abdou
Meta learning Framework for Automated Driving. CoRR (2017)
Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
Deep Reinforcement Learning framework for Autonomous Driving. CoRR (2017)
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 (2017)
Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
End-to-End Deep Reinforcement Learning for Lane Keeping Assist. CoRR (2016)