125 citations · 703 across the 21 of their papers we have counts for
9 papers · 1 filter
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +2
Due to the significant effort required for data collection and annotation in 3D perception tasks, mixed sample data augmentation (MSDA) has been widely studied to generate diverse…
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +3
The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors. Notably, ra…
Uncertainty-Based Biological Age Estimation of Brain MRI Scans
Karim Armanious, Sherif Abdulatif, Wenbin Shi +3
Age is an essential factor in modern diagnostic procedures. However, assessment of the true biological age (BA) remains a daunting task due to the lack of reference ground-truth la…
Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious, Chenming Jiang, Sherif Abdulatif +3
Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-re…
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Karim Armanious, Sherif Abdulatif, Fady Aziz +2
Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications. However, it suffers from stringent constraints on its design parametr…
Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers
Sherif Abdulatif, Fady Aziz, Karim Armanious +3
Obtaining a smart surveillance requires a sensing system that can capture accurate and detailed information for the human walking style. The radar micro-Doppler (-D)…
Towards Adversarial Denoising of Radar Micro-Doppler Signatures
Sherif Abdulatif, Karim Armanious, Fady Aziz +2
Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to g…
Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs
Sherif Abdulatif, Fady Aziz, Bernhard Kleiner +1
Unique micro-Doppler signature (-D) of a human body motion can be analyzed as the superposition of different body parts -D signatures. Extraction of hum…
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
Sherif Abdulatif, Qian Wei, Fady Aziz +2
Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler (-D) and m…