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Results for Gaze inference

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  1. Real-time head-based deep-learning model for gaze probability regions in collaborative VR

    Bovo, R., Giunchi, D., Sidenmark, L., Costanza, E., Gellersen, H. & Heinis, T., 11/06/2022, ACM Symposium on Eye Tracking Research and Applications. New York: ACM, 8 p. 6

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review