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cs.CV2021

USIS: Unsupervised Semantic Image Synthesis

George Eskandar, Mohamed Abdelsamad, Karim Armanious +1

Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a photorealistic image is synthesized from a segmentation mask. SIS has mostly been addressed as a…

cs.CV2021

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…

cs.CV2021

SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving

George Eskandar, Alexander Braun, Martin Meinke +2

Predicting future 3D LiDAR pointclouds is a challenging task that is useful in many applications in autonomous driving such as trajectory prediction, pose forecasting and decision…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2018

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)…