439 citations · 634 across the 13 of their papers we have counts for
4 papers · 1 filter
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
Shabab Bazrafkan, Shejin Thavalengal, Peter Corcoran
With the increasing imaging and processing capabilities of today's mobile devices, user authentication using iris biometrics has become feasible. However, as the acquisition condit…
Semi-Parallel Deep Neural Networks (SPDNN), Convergence and Generalization
Shabab Bazrafkan, Peter Corcoran
The Semi-Parallel Deep Neural Network (SPDNN) idea is explained in this article and it has been shown that the convergence of the mixed network is very close to the best network in…
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley, Shabab Bazrafkan, Peter Corcoran
A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks(DNN). There are…
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture
S. Bazrafkan, H. Javidnia, J. Lemley +1
Deep neural networks are applied to a wide range of problems in recent years. In this work, Convolutional Neural Network (CNN) is applied to the problem of determining the depth fr…