Robust Eye-Gaze Estimation Deep Neural Network

Eyeware creates natural and intuitive human-machine interaction experiences using eye-gaze tracking. We propose to design a novel, robust gaze estimation system based on multi-task deep learning that can adapt to challenging conditions, targeting new applications in home automation and advertising.

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Idiap Research Institute
Eyeware
CTI
Sep 01, 2017
Dec 31, 2018