According to our database1, Viktor Varkarakis authored at least 10 papers between 2018 and 2021.
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Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects.
Versatile Auxiliary Classification and Regression With Generative Adversarial Networks.
IEEE Access, 2021
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.
Deep Learning for Consumer Devices and Services 3 - Getting More From Your Datasets With Data Augmentation.
IEEE Consumer Electron. Mag., 2020
Validating Seed Data Samples for Synthetic Identities - Methodology and Uniqueness Metrics.
IEEE Access, 2020
Dataset Cleaning - A Cross Validation Methodology for Large Facial Datasets using Face Recognition.
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
IEEE Consumer Electron. Mag., 2019
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019
A Deep Learning Approach to Segmentation of Distorted Iris Regions in Head-Mounted Displays.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018