Ahmad El Sallab

Orcid: 0000-0001-6616-1446

According to our database1, Ahmad El Sallab authored at least 27 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
PKCAM: Previous Knowledge Channel Attention Module.
CoRR, 2022

EMCA: Efficient Multiscale Channel Attention Module.
IEEE Access, 2022

2021
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer.
CoRR, 2021

MODETR: Moving Object Detection with Transformers.
CoRR, 2021

INSTA-YOLO: Real-Time Instance Segmentation.
CoRR, 2021

Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving.
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.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving.
CoRR, 2020

MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans.
CoRR, 2020

2019
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving.
CoRR, 2019

Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation.
CoRR, 2019

End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving.
CoRR, 2019

LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving.
CoRR, 2019

Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Optical Flow Augmented Semantic Segmentation Networks for Automated Driving.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation.
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.
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.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving.
CoRR, 2017

Meta learning Framework for Automated Driving.
CoRR, 2017

Deep Reinforcement Learning framework for Autonomous Driving.
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.
CoRR, 2016


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