21 citations · 22 across the 2 of their papers we have counts for
5 papers
Towards End-to-End Neural Face Authentication in the Wild -- Quantifying and Compensating for Directional Lighting Effects
Viktor Varkarakis, Wang Yao, Peter Corcoran
The recent availability of low-power neural accelerator hardware, combined with improvements in end-to-end neural facial recognition algorithms provides, enabling technology for on…
Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets
Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran
StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high-quality synthetic facial data samples. In this paper, we recap the StyleGAN arc…
Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition
Viktor Varkarakis, Peter Corcoran
In recent years, large "in the wild" face datasets have been released in an attempt to facilitate progress in tasks such as face detection, face recognition, and other tasks. Most…
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis +1
Technology-assisted platforms provide reliable solutions in almost every field these days. One such important application in the medical field is the skin cancer classification in…
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low comple…