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20172021
most citedA Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

278 citations · 307 across the 6 of their papers we have counts for

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5 papers · 1 filter

eess.IV2020

High-Accuracy Facial Depth Models derived from 3D Synthetic Data

Faisal Khan, Shubhajit Basak, Hossein Javidnia +2

In this paper, we explore how synthetically generated 3D face models can be used to construct a high accuracy ground truth for depth. This allows us to train the Convolutional Neur…

eess.IV2020

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…

eess.IV2018

Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)

Shabab Bazrafkan, Hossein Javidnia, Peter Corcoran

One of the most interesting challenges in Artificial Intelligence is to train conditional generators which are able to provide labeled adversarial samples drawn from a specific dis…

eess.IV2018

Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)

Shabab Bazrafkan, Peter Corcoran

Being able to generate constrained samples is one of the most appealing applications of the deep generators. Conditional generators are one of the successful implementations of suc…

eess.IV20174 cited

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…