Shabab Bazrafkan

Orcid: 0000-0003-4561-7250

According to our database1, Shabab Bazrafkan authored at least 32 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
To recurse or not to recurse: a low-dose CT study.
Prog. Artif. Intell., 2021

Recurrent inference machines as inverse problem solvers for MR relaxometry.
Medical Image Anal., 2021

Versatile Auxiliary Classification and Regression With Generative Adversarial Networks.
IEEE Access, 2021

2020
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets.
Neural Networks, 2020

Re-Training StyleGAN - A First Step Towards Building Large, Scalable Synthetic Facial Datasets.
CoRR, 2020

Validating Seed Data Samples for Synthetic Identities - Methodology and Uniqueness Metrics.
IEEE Access, 2020

CNN-based Deblurring of Terahertz Images.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

CNN-Based Deblurring of THz Time-Domain Images.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

2019
Deep Learning Based Computed Tomography Whys and Wherefores.
CoRR, 2019

A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

2018
Latent space mapping for generation of object elements with corresponding data annotation.
Pattern Recognit. Lett., 2018

An end to end Deep Neural Network for iris segmentation in unconstrained scenarios.
Neural Networks, 2018

Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera.
J. Electronic Imaging, 2018

Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios.
CoRR, 2018

Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN).
CoRR, 2018

Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators.
CoRR, 2018

Pushing the AI Envelope: Merging Deep Networks to Accelerate Edge Artificial Intelligence in Consumer Electronics Devices and Systems.
IEEE Consumer Electron. Mag., 2018

Deep learning for hand segmentation in complex backgrounds.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Learning data augmentation for consumer devices and services.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

The application of deep learning on depth from multi-array camera.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Enhancing iris authentication on handheld devices using deep learning derived segmentation techniques.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

A Deep Learning Approach to Segmentation of Distorted Iris Regions in Head-Mounted Displays.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018

2017
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios.
CoRR, 2017

Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture.
CoRR, 2017

Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.
IEEE Consumer Electron. Mag., 2017

Smart Augmentation Learning an Optimal Data Augmentation Strategy.
IEEE Access, 2017

Transfer Learning of Temporal Information for Driver Action Classification.
Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference 2017, 2017

Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods.
Proceedings of the IEEE International Conference on Consumer Electronics, 2017

2016
Eye-gaze systems - An analysis of error sources and potential accuracy in consumer electronics use cases.
Proceedings of the IEEE International Conference on Consumer Electronics, 2016

Finger vein biometric: Smartphone footprint prototype with vein map extraction using computational imaging techniques.
Proceedings of the IEEE International Conference on Consumer Electronics, 2016

2015
Eye Gaze for Consumer Electronics: Controlling and commanding intelligent systems.
IEEE Consumer Electron. Mag., 2015


  Loading...