activity
20192023
most citedRobust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2

6 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 5 cited

STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map

Ammar Sherif, Abubakar Abid, Mustafa Elattar +1

Multi-Task Learning (MTL) is a powerful technique that has gained popularity due to its performance improvement over traditional Single-Task Learning (STL). However, MTL is often c…

cs.CV2020

Robust Real-Time Pedestrian Detection on Embedded Devices

Mohamed Afifi, Yara Ali, Karim Amer +2

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…

cs.CV2020

Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds

Yara Ali Alnaggar, Mohamed Afifi, Karim Amer +1

Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms. Furthermore, given the increasing deployment of LiDAR sensors…

cs.HC2020

Overview of Surgical Simulation

Mohamed A. ElHelw

Motivated by the current demand of clinical governance, surgical simulation is now a well-established modality for basic skills training and assessment. The practical deployment of…

cs.CV2019★ 6 cited

Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2

Mohamed Afifi, Yara Ali, Karim Amer +2

Detection of pedestrians in aerial imagery captured by drones has many applications including intersection monitoring, patrolling, and surveillance, to name a few. However, the pro…

cs.CV2019★ 2 cited

Drone Path-Following in GPS-Denied Environments using Convolutional Networks

M. Samy, K. Amer, M. Shaker +1

his paper presents a simple approach for drone navigation to follow a predetermined path using visual input only without reliance on a Global Positioning System (GPS). A Convolutio…