Now showing items 1-2 of 2

    • Gaze estimation problem tackled through synthetic images 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Association for Computing Machinery (ACM), 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this paper, we evaluate a synthetic framework to be used in the field of gaze estimation employing deep learning techniques. The lack of sufficient annotated data could be overcome by the utilization of a synthetic ...
    • U2Eyes: a binocular dataset for eye tracking and gaze estimation 

      Porta Cuéllar, Sonia Upna Orcid; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Larumbe Bergera, Andoni Upna; Garde Lecumberri, Gonzalo Upna; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Theory shows that huge amount of labelled data are needed in order to achieve reliable classification/regression methods when using deep/machine learning techniques. However, in the eye tracking field, manual annotation ...