Shabab Bazrafkan
Orcid: 0000-0003-4561-7250
According to our database1,
Shabab Bazrafkan
authored at least 32 papers
between 2015 and 2022.
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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
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
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020
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
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
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
Proceedings of the IEEE International Conference on Consumer Electronics, 2018
Proceedings of the IEEE International Conference on Consumer Electronics, 2018
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
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
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
IEEE Consumer Electron. Mag., 2015