Shabab Bazrafkan
Shabab Bazrafkan
Machine Learning Engineer,
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Cited by
Cited by
Smart augmentation learning an optimal data augmentation strategy
J Lemley, S Bazrafkan, P Corcoran
Ieee Access 5, 5858-5869, 2017
Deep learning for consumer devices and services: pushing the limits for machine learning, artificial intelligence, and computer vision
J Lemley, S Bazrafkan, P Corcoran
IEEE Consumer Electronics Magazine 6 (2), 48-56, 2017
An end to end deep neural network for iris segmentation in unconstrained scenarios
S Bazrafkan, S Thavalengal, P Corcoran
Neural Networks 106, 79-95, 2018
Polyworld: Polygonal building extraction with graph neural networks in satellite images
S Zorzi, S Bazrafkan, S Habenschuss, F Fraundorfer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
V Varkarakis, S Bazrafkan, P Corcoran
Neural Networks 121, 101-121, 2020
Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
S Bazrafkan, T Nedelcu, P Filipczuk, P Corcoran
2017 IEEE International Conference on Consumer Electronics (ICCE), 217-220, 2017
Eye gaze for consumer electronics: Controlling and commanding intelligent systems
S Bazrafkan, A Kar, C Costache
IEEE Consumer Electronics Magazine 4 (4), 65-71, 2015
Enhancing Iris Authentication on Handheld Devices Using Deep Learning Derived Segmentation Techniques
S Bazrafkan, P Corcoran
IEEE International Conference on Consumer Electronics, (ICCE 2018), 2018
Transfer Learning of Temporal Information for Driver Action Classification.
J Lemley, S Bazrafkan, P Corcoran
MAICS, 123-128, 2017
Method of training a neural network
S Bazrafkan, J Lemley
US Patent 10,915,817, 2021
Pushing the AI envelope: merging deep networks to accelerate edge artificial intelligence in consumer electronics devices and systems
S Bazrafkan, PM Corcoran
IEEE Consumer Electronics Magazine 7 (2), 55-61, 2018
Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera
S Bazrafkan, H Javidnia, J Lemley, P Corcoran
Journal of Electronic Imaging 27 (4), 043041-043041, 2018
A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system
V Nguyen, J De Beenhouwer, JG Sanctorum, S Van Wassenbergh, ...
Nondestructive Testing and Evaluation 35 (3), 252-265, 2020
Versatile auxiliary classifier with generative adversarial network (vac+ gan), multi class scenarios
S Bazrafkan, P Corcoran
arXiv preprint arXiv:1806.07751, 2018
CNN-based deblurring of terahertz images
M Ljubenović, S Bazrafkan, J De Beenhouwer, J Sijbers
Proceedings of the 15th International Joint Conference on Computer Vision …, 2020
Recurrent inference machines as inverse problem solvers for MR relaxometry
ER Sabidussi, S Klein, MWA Caan, S Bazrafkan, AJ den Dekker, J Sijbers, ...
Medical image analysis 74, 102220, 2021
Deep learning based computed tomography whys and wherefores
S Bazrafkan, V Van Nieuwenhove, J Soons, J De Beenhouwer, J Sijbers
arXiv preprint arXiv:1904.03908, 2019
Versatile auxiliary regressor with generative adversarial network (VAR+ GAN)
S Bazrafkan, P Corcoran
arXiv preprint arXiv:1805.10864, 2018
Validating seed data samples for synthetic identities–methodology and uniqueness metrics
V Varkarakis, S Bazrafkan, G Costache, P Corcoran
Ieee Access 8, 152532-152550, 2020
A deep learning approach to segmentation of distorted iris regions in head-mounted displays
V Varkarakis, S Bazrafkan, P Corcoran
2018 IEEE Games, Entertainment, Media Conference (GEM), 1-9, 2018
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