Shabab Bazrafkan

发表

A Deep Learning Approach to Segmentation of Distorted Iris Regions in Head-Mounted Displays

Peter Corcoran, Viktor Varkarakis, Shabab Bazrafkan, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

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

Peter Corcoran, Shabab Bazrafkan, Joe Lemley, 2017, IEEE Consumer Electronics Magazine.

CNN-based Deblurring of Terahertz Images

Jan Sijbers, Shabab Bazrafkan, Marina Ljubenovic, 2020, VISIGRAPP.

Deep learning for hand segmentation in complex backgrounds

Peter Corcoran, Shabab Bazrafkan, Adrian-Stefan Ungureanu, 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

Deep Neural Network Assisted Iterative Reconstruction Method for Low Dose CT

Jan Sijbers, Shabab Bazrafkan, Jan De Beenhouwer, 2019, 1906.00650.

Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision (Errata for acknowledgments)

Peter Corcoran, Shabab Bazrafkan, Joseph Lemley, 2017 .

Learning data augmentation for consumer devices and services

Peter Corcoran, Shabab Bazrafkan, Joseph Lemley, 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

Transfer Learning of Temporal Information for Driver Action Classification

Peter Corcoran, Shabab Bazrafkan, Joseph Lemley, 2017, Midwest Artificial Intelligence and Cognitive Science Conference.

Eye Gaze for Consumer Electronics

Shabab Bazrafkan, Claudia Costache, Anuradha Kar, 2015 .

Semi-Parallel Deep Neural Networks (SPDNN), Convergence and Generalization

Shabab Bazrafkan, Peter Corcoran, 2017 .

Finger vein biometric: Smartphone footprint prototype with vein map extraction using computational imaging techniques

Peter Corcoran, Shabab Bazrafkan, Tudor Nedelcu, 2016, 2016 IEEE International Conference on Consumer Electronics (ICCE).

Face Synthesis with Landmark Points from Generative Adversarial Networks and Inverse Latent Space Mapping

Shabab Bazrafkan, Hossein Javidnia, Peter Corcoran, 2018 .

Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN) pdf

Peter Corcoran, Shabab Bazrafkan, 2018, ArXiv.

Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)

Peter Corcoran, Shabab Bazrafkan, Hossein Javidnia, 2018 .

An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios

Peter Corcoran, Shabab Bazrafkan, Shejin Thavalengal, 2017, Neural Networks.

Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators pdf

Peter Corcoran, Shabab Bazrafkan, Hossein Javidnia, 2018, ArXiv.

Enhancing iris authentication on handheld devices using deep learning derived segmentation techniques

Peter Corcoran, Shabab Bazrafkan, P. Corcoran, 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

Contributions to deep learning methodologies

Shabab Bazrafkan, 2018 .

Eye-gaze systems - An analysis of error sources and potential accuracy in consumer electronics use cases

Peter Corcoran, Shabab Bazrafkan, Claudia Costache, 2016, 2016 IEEE International Conference on Consumer Electronics (ICCE).

Contourlet-Based Levelset SAR Image Segmentation

Shabab Bazrafkan, Habibollah Danyali, Alireza Ebrahiminia, 2013 .

Latent space mapping for generation of object elements with corresponding data annotation

Peter Corcoran, Shabab Bazrafkan, Hossein Javidnia, 2018, Pattern Recognit. Lett..

Eye Gaze for Consumer Electronics: Controlling and commanding intelligent systems.

Shabab Bazrafkan, Claudia Costache, Anuradha Kar, 2015, IEEE Consumer Electronics Magazine.

Deep Learning Based Computed Tomography Whys and Wherefores pdf

Jan Sijbers, Shabab Bazrafkan, Jan De Beenhouwer, 2019, ArXiv.

Smart Augmentation Learning an Optimal Data Augmentation Strategy

Peter Corcoran, Shabab Bazrafkan, Joseph Lemley, 2017, IEEE Access.

Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera

Peter Corcoran, Shabab Bazrafkan, Hossein Javidnia, 2018, J. Electronic Imaging.

To recurse or not to recurse: a low-dose CT study

Jan Sijbers, Shabab Bazrafkan, Jan De Beenhouwer, 2019, Prog. Artif. Intell..

Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods

Peter Corcoran, Shabab Bazrafkan, Tudor Nedelcu, 2017, 2017 IEEE International Conference on Consumer Electronics (ICCE).

Pushing the AI Envelope: Merging Deep Networks to Accelerate Edge Artificial Intelligence in Consumer Electronics Devices and Systems

Shabab Bazrafkan, Peter M. Corcoran, P. Corcoran, 2018, IEEE Consumer Electronics Magazine.

The application of deep learning on depth from multi-array camera

Peter Corcoran, Shabab Bazrafkan, Hossein Javidnia, 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets

Peter Corcoran, Viktor Varkarakis, Shabab Bazrafkan, 2019, Neural Networks.

PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images pdf

Friedrich Fraundorfer, Stefan Habenschuss, Shabab Bazrafkan, 2021, ArXiv.

Versatile Auxiliary Classification and Regression With Generative Adversarial Networks

Peter Corcoran, Viktor Varkarakis, Shabab Bazrafkan, 2021, IEEE Access.