439 citations · 1k across the 21 of their papers we have counts for
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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…
The Application of Preconditioned Alternating Direction Method of Multipliers in Depth from Focal Stack
Hossein Javidnia, Peter Corcoran
Post capture refocusing effect in smartphone cameras is achievable by using focal stacks. However, the accuracy of this effect is totally dependent on the combination of the depth…
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…
A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms
Anuradha Kar, Peter Corcoran
In this paper a review is presented of the research on eye gaze estimation techniques and applications, that has progressed in diverse ways over the past two decades. Several gener…
Third time is the charm - Why the World just might be ready for the Internet of Things this time around
Peter M. Corcoran
The technology to connect 'things' to the Internet has existed for more than 20 years, so if we take a look back at recent history we might well be tempted to ask the question why…
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…