Ahmad El Sallab

According to our database, Ahmad El Sallab authored at least 27 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

PKCAM: Previous Knowledge Channel Attention Module.

Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan

CoRR, 2022

EMCA: Efficient Multiscale Channel Attention Module.

Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan

IEEE Access, 2022

2021

ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer.

Eslam Mohamed, Ahmad El Sallab

CoRR, 2021

MODETR: Moving Object Detection with Transformers.

Eslam Mohamed, Ahmad El Sallab

CoRR, 2021

INSTA-YOLO: Real-Time Instance Segmentation.

Eslam Mohamed, Abdelrahman Shaker, Hazem Rashed, Ahmad El Sallab, Mayada Hadhoud

CoRR, 2021

Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline.

Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciarán Eising, Ahmad El Sallab, Senthil Kumar Yogamani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline.

Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Waleed Hamdy, Mohamed El-Dakdouky, Ahmad El Sallab

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving.

Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving.

Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation.

Eslam Mohamed, Ahmad El Sallab

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving.

Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab

CoRR, 2020

MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans.

Abdullah Tarek Farag, Ahmed Raafat Abd El-Wahab, Mahmoud Nada, Mohamed Yasser Abd El-Hakeem, Omar Sayed Mahmoud, Reem Khaled Rashwan, Ahmad El Sallab

CoRR, 2020

2019

RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving.

Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani

CoRR, 2019

Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation.

Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky

CoRR, 2019

End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving.

Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El Sallab

CoRR, 2019

LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving.

Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Nader Essam

CoRR, 2019

Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems.

Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Optical Flow Augmented Semantic Segmentation Networks for Automated Driving.

Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving.

Khaled El Madawi, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving.

Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation.

Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving.

Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud.

Waleed Ali, Sherif Abdelkarim, Mahmoud Zidan, Mohamed Zahran, Ahmad El Sallab

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving.

Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab

CoRR, 2017

Meta learning Framework for Automated Driving.

Ahmad El Sallab, Mahmoud Saeed, Omar Abdel Tawab, Mohammed Abdou

CoRR, 2017

Deep Reinforcement Learning framework for Autonomous Driving.

Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2017, Burlingame, CA, USA, January 29, 2017

2016

End-to-End Deep Reinforcement Learning for Lane Keeping Assist.

Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani

CoRR, 2016