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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.IV2018★ 3 cited
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…