Search Results for author:
Found 17 papers, 3 papers with code
Wavelet-based Unsupervised Label-to-Image Translation
Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a semantic layout is used to generate a photorealistic image.
Ranked #11 on
Image-to-Image Translation
on ADE20K Labels-to-Photos
Multimodal Unsupervised Image-To-Image Translation
Translation
+1
USIS: Unsupervised Semantic Image Synthesis
Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a photorealistic image is synthesized from a segmentation mask.
Uncertainty-Based Biological Age Estimation of Brain MRI Scans
We apply the proposed methodology on a brain MRI dataset containing healthy individuals as well as Alzheimer's patients.
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving
Our algorithm is able to address the limitations of previous video prediction frameworks when dealing with sparse data by spatially inpainting the depth maps in the upcoming frames.
Investigating Cross-Domain Losses for Speech Enhancement
Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition.
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
Thus, a whole-body assessment of the BA does not reflect the deviations of aging behavior between organs.
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks
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
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).
Organ-based Chronological Age Estimation based on 3D MRI Scans
Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics.
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Motion is one of the main sources for artifacts in magnetic resonance (MR) images.
Unsupervised Medical Image Translation Using Cycle-MedGAN
The proposed framework utilizes new non-adversarial cycle losses which direct the framework to minimize the textural and perceptual discrepancies in the translated images.
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications.
Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers
In our proposed experimental setup, a treadmill is used to collect $\boldsymbol{\mu}$-D signatures of 22 subjects with different genders and body characteristics.
Towards Adversarial Denoising of Radar Micro-Doppler Signatures
Two sets of experiments were collected on 22 subjects walking on a treadmill at an intermediate velocity using a \unit[25]{GHz} CW radar.
Adversarial Inpainting of Medical Image Modalities
Numerous factors could lead to partial deteriorations of medical images.
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance.
MedGAN: Medical Image Translation using GANs
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications.
