EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding

Abstract
Eye gaze estimation and simultaneous semantic understanding of a user through eye images is a crucial component in Virtual and Mixed Reality; enabling energy efficient rendering, multi-focal displays and effective interaction with 3D content. In head-mounted VR/MR devices the eyes are imaged off-axis to avoid blocking the user's gaze, this view-point makes drawing eye related inferences very challenging. In this work, we present EyeNet, the...
Paper Details
Title
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
Published Date
Aug 24, 2019
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.