Browsing Electrical and Electronic Engineering (Conference Papers) by Author "FotoNation Ltd"
Now showing items 1-4 of 4
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The application of deep learning on depth from multi-array camera
Javidnia, Hossein; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2018-01-02)Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations ... -
Getting more from your datasets: Data augmentation, annotation and generative techniques
Corcoran, Peter; Bazrafkkan, Shabab; Lemley, Joe (XPERI Inc., 2018-05-18)Deep Learning for embedded vision requires large datasets. Indeed the more varied training data is, the more accurate the trained network. But, acquiring and accurately annotating datasets costs time and money. This talk ... -
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
Corcoran, Peter; Bazrafkkan, Shabab (XPERI Inc., 2018-05-23)Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ... -
Re-training StyleGAN-A first step towards building large, scalable synthetic facial datasets
Varkarakis, Viktor; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)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 architecture and training methodology and ...