activity
20182021
most citedRadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

11 citations · 19 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.LG2018

One-Class Feature Learning Using Intra-Class Splitting

Patrick Schlachter, Yiwen Liao, Bin Yang

This paper proposes a novel generic one-class feature learning method based on intra-class splitting. In one-class classification, feature learning is challenging, because only sam…

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)…

cs.CV2018

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…

cs.CV2018

Adversarial Inpainting of Medical Image Modalities

Karim Armanious, Youssef Mecky, Sergios Gatidis +1

Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans. This will affect further…

cs.CV2018

Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs

Karim Armanious, Sergios Gatidis, Konstantin Nikolaou +2

Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance. Currently, MR motion correction is…