• Gaze estimation problem tackled through synthetic images 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; 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 ...
    • Introducing I2Head database 

      Martinikorena Aranburu, Ion Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid; Porta Cuéllar, Sonia Upna Orcid (ACM (Association for Computing Machinery), 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      I2Head database has been created with the aim to become an optimal reference for low cost gaze estimation. It exhibits the following outstanding characteristics: it takes into account key aspects of low resolution eye ...
    • SeTA: semiautomatic tool for annotation of eye tracking images 

      Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (ACM, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool ...
    • 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 Orcid; 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 ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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