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Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
(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 ...
The application of deep learning on depth from multi-array camera
(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 ...
Fake data - the future of advanced computer vision systems
(NUI Galway, 2018-10-22)
Recent research shows that Data Augmentation techniques and Synthetic Data can improve the accuracy and reduce the susceptibility of Deep Neural Networks to Adversarial Attacks. In this presentation we consider some of the ...
Gaze Visual - A graphical software tool for performance evaluation of eye gaze estimation systems
(Institute of Electrical and Electronics Engineers, 2018-08-15)
The concept of an open source software developed for all round performance evaluation of gaze tracking systems is presented. The capabilities of this software towards quantitative, statistical and visual analysis of gaze ...
A review of resolution losses for AR/VR foveated imaging applications
(Institute of Electrical and Electronics Engineers, 2018-08-15)
Foveated imaging is of great interest for Augmented and Virtual Reality applications. The resolution losses off-axis simulated in foveated imaging are modelled using cone density on the retina. This article reviews the ...
Synthesizing game audio using deep neural networks
(Institute of Electrical and Electronics Engineers, 2018-08-15)
High quality audio plays an important role in gaming, contributing to player immersion during gameplay. Creating audio content which matches overall theme and aesthetic is essential, such that players can become fully ...
Deep learning for hand segmentation in complex backgrounds
(Institute of Electrical and Electronics Engineers, 2018-01-02)
This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand ...