no code implementations • 5 Mar 2024 • Mohamed Afifi, Mohamed ElHelw
In this work, we propose a novel framework for real-time LiDAR odometry and mapping based on LOAM architecture for fast moving platforms.
no code implementations • 11 Sep 2023 • Yara Ali Alnaggar, Ahmad Sebaq, Karim Amer, ElSayed Naeem, Mohamed ElHelw
Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet.
no code implementations • 3 Sep 2023 • Ahmad Sebaq, Mohamed ElHelw
Satellite imagery generation and super-resolution are pivotal tasks in remote sensing, demanding high-quality, detailed images for accurate analysis and decision-making.
1 code implementation • 7 Jul 2023 • Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw
In our paper, we propose a new data-driven method that addresses these challenges and provides a scalable and modular solution for classification task grouping based on a re-proposed data-driven features, Data Maps, which capture the training dynamics for each classification task during the MTL training.
no code implementations • 13 Dec 2020 • Mohamed Afifi, Yara Ali, Karim Amer, Mahmoud Shaker, Mohamed ElHelw
Detection of pedestrians on embedded devices, such as those on-board of robots and drones, has many applications including road intersection monitoring, security, crowd monitoring and surveillance, to name a few.
no code implementations • 3 Nov 2020 • Yara Ali Alnaggar, Mohamed Afifi, Karim Amer, Mohamed ElHelw
Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms.
Ranked #3 on LIDAR Semantic Segmentation on SemanticKITTI