Search Results for author: Sherif Abdulatif

Found 18 papers, 4 papers with code

Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions

no code implementations13 Aug 2024 Miao Zhang, Sherif Abdulatif, Benedikt Loesch, Marco Altmann, Marius Schwarz, Bin Yang

The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors.

3D Object Detection Autonomous Driving +3

CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement

2 code implementations22 Sep 2022 Sherif Abdulatif, Ruizhe Cao, Bin Yang

Rather than focusing exclusively on the speech denoising task, we extend this work to address the dereverberation and super-resolution tasks.

Audio Super-Resolution Automatic Speech Recognition +9

CMGAN: Conformer-based Metric GAN for Speech Enhancement

1 code implementation28 Mar 2022 Ruizhe Cao, Sherif Abdulatif, Bin Yang

The estimation of magnitude and complex spectrogram is decoupled in the decoder stage and then jointly incorporated to reconstruct the enhanced speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Uncertainty-Based Biological Age Estimation of Brain MRI Scans

no code implementations15 Mar 2021 Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang

We apply the proposed methodology on a brain MRI dataset containing healthy individuals as well as Alzheimer's patients.

Age Estimation

Investigating Cross-Domain Losses for Speech Enhancement

no code implementations20 Oct 2020 Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev, Karim Guirguis, Bin Yang

Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition.

Deep Learning Speech Enhancement

AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks

no code implementations21 Oct 2019 Sherif Abdulatif, Karim Armanious, Karim Guirguis, Jayasankar T. Sajeev, Bin Yang

Automatic speech recognition (ASR) systems are of vital importance nowadays in commonplace tasks such as speech-to-text processing and language translation.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging

no code implementations21 Oct 2019 Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang

Local deformations in medical modalities are common phenomena due to a multitude of factors such as metallic implants or limited field of views in magnetic resonance imaging (MRI).

Image Inpainting

Organ-based Chronological Age Estimation based on 3D MRI Scans

no code implementations14 Oct 2019 Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics.

Age Estimation

Unsupervised Medical Image Translation Using Cycle-MedGAN

no code implementations8 Mar 2019 Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang

The proposed framework utilizes new non-adversarial cycle losses which direct the framework to minimize the textural and perceptual discrepancies in the translated images.

Image-to-Image Translation Translation

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

no code implementations4 Mar 2019 Karim Armanious, Sherif Abdulatif, Fady Aziz, Urs Schneider, Bin Yang

Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications.

Autonomous Driving Super-Resolution

Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers

no code implementations17 Nov 2018 Sherif Abdulatif, Fady Aziz, Karim Armanious, Bernhard Kleiner, Bin Yang, Urs Schneider

In our proposed experimental setup, a treadmill is used to collect $\boldsymbol{\mu}$-D signatures of 22 subjects with different genders and body characteristics.

Person Identification

Towards Adversarial Denoising of Radar Micro-Doppler Signatures

no code implementations12 Nov 2018 Sherif Abdulatif, Karim Armanious, Fady Aziz, Urs Schneider, Bin Yang

Two sets of experiments were collected on 22 subjects walking on a treadmill at an intermediate velocity using a \unit[25]{GHz} CW radar.

Denoising Denoising Of Radar Micro-Doppler Signatures +1

Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches

no code implementations25 Nov 2017 Sherif Abdulatif, Qian Wei, Fady Aziz, Bernhard Kleiner, Urs Schneider

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 ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.

Classification Gait Recognition +1

Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs

no code implementations25 Nov 2017 Sherif Abdulatif, Fady Aziz, Bernhard Kleiner, Urs Schneider

Unique micro-Doppler signature ($\boldsymbol{\mu}$-D) of a human body motion can be analyzed as the superposition of different body parts $\boldsymbol{\mu}$-D signatures.

Cannot find the paper you are looking for? You can Submit a new open access paper.