NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation - researchr publication authors

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Joohwan Kim, Michael Stengel, Alexander Majercik, Shalini De Mello, David Dunn, Samuli Laine, Morgan McGuire, David Luebke. NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation. In Stephen A. Brewster, Geraldine Fitzpatrick, Anna L. Cox, Vassilis Kostakos, editors, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019. pages 550, ACM, 2019. [doi]

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