• Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks 

      Larumbe Bergera, Andoni Upna Orcid; Garde Lecumberri, Gonzalo Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Remote eye tracking technology has suffered an increasing growth in recent years due to its applicability in many research areas. In this paper, a video-oculography method based on convolutional neural networks (CNNs) for ...
    • 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 ...
    • Low-cost eye tracking calibration: a knowledge-based study 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Bossavit, Benoît Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Subject calibration has been demonstrated to improve the accuracy in high-performance eye trackers. However, the true weight of calibration in off-the-shelf eye tracking solutions is still not addressed. In this work, a ...
    • Synthetic gaze data augmentation for improved user calibration 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Springer, 2021)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      In this paper, we focus on the calibration possibilitiesó of a deep learning based gaze estimation process applying transfer learning, comparing its performance when using a general dataset versus when using a gaze specific ...
    • 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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