Browsing by Author "Sukno, Federico Mateo"

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  • Ruiz Fernández, Guillermo (Universitat Pompeu Fabra, 2018-12-12)
    This thesis has been accomplished in Crisalix in collaboration with the Universitat Pompeu Fabra within the program of Doctorats Industrials. Crisalix has the mission of enhancing the communication between professionals ...
  • Sukno, Federico Mateo; Domínguez Bajo, Mónica; Ruiz, Adrià; Schiller, Dominik; Lingenfelser, Florian; Pragst, Louisa; Kamateri, Eleni; Vrochidis, Stefanos (ACM Association for Computer Machinery, 2016)
    The development of conversational agents with human interaction capabilities requires advanced affective state recognition integrating non-verbal cues from the different modalities constituting what in human communication ...
  • Fernandez-Lopez, Adriana; Sukno, Federico Mateo (SCITEPRESS, 2017)
    Speech is the most common communication method between humans and involves the perception of both auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, but it has been ...
  • Hoogendoorn, Corné; Sukno, Federico Mateo; Ordás, Sebastián; Frangi Caregnato, Alejandro (Springer, 2009)
    In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. ...
  • Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Fraga, Thiago; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos (Elsevier, 2017)
    We present work in progress on an intelligent embodied conversation agent that is supposed to act as a social companion with linguistic and emotional competence in the context of basic and health care. The core of the agent ...
  • Ruiz, Adrià; Martinez, Oriol; Binefa i Valls, Xavier; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem ...
  • Derkach, Dmytro; Ruiz Ovejero, Adrià; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    In this paper we present a system that is able to estimate head pose using only depth information from consumer RGB-D cameras such as Kinect 2. In contrast to most approaches addressing this problem, we do not rely on ...
  • Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos (Springer, 2017)
    We present an intelligent embodied conversation agent with linguistic, social and emotional competence. Unlike the vast majority of the state-of-the-art conversation agents, the proposed agent is constructed around an ...
  • Derkach, Dmytro; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    We investigate the problem of facial expression recognition using 3D data. Building from one of the most successful frameworks for facial analysis using exclusively 3D geometry, we extend the analysis from a curve-based ...
  • Sukno, Federico Mateo; Rojas, Mario A.; Waddington, John L.; Whelan, Paul F. (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    We address a systematic evaluation of facial asymmetry from a population of 100 high-quality laser scans, which are first symmetrized and then manipulated to introduce 25 synthetic patterns with a variety of asymmetries. ...
  • Fernandez-Lopez, Adriana; Sukno, Federico Mateo (Elsevier, 2018)
    In the last few years, there has been an increasing interest in developing systems for Automatic Lip-Reading (ALR). Similarly to other computer vision applications, methods based on Deep Learning (DL) have become very ...
  • Ortega-Garcia, Javier; Fierrez, Julian; Alonso-Fernández, Fernando; Galbally, Javier; Freire, Manuel R.; González-Rodríguez, Joaquín; García-Mateo, Carmen; Alba-Castro, José-Luís; González-Agulla, Elisardo; Otero-Muras, Enrique; García-Salicetti, Sonia; Allano, Lorene; Ly-Van, Bao; Dorizzi, Bernadette; Kittler, Josef; Bourlai, Thirimachos; Poh, Norman; Deravi, Farzin; Ng, Ming W.R.; Fairhurst, Michael; Hennebert, Jean; Humm, Andreas; Tistarelli, Massimo; Brodo, Linda; Richiardi, Jonas; Drygajlo, Andrzej; Ganster, Harald; Sukno, Federico Mateo; Pavani, Sri-Kaushik; Frangi Caregnato, Alejandro; Akarun, Lale; Savran, Arman (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three ...
  • Wanner, Leo; Blat, Josep; Dasiopoulou, Stamatia; Domínguez Bajo, Mónica; Llorach, Gerard; Mille, Simon; Sukno, Federico Mateo; Kamateri, Eleni; Kompatsiaris, Ioannis; Vrochidis, Stefanos; André, Elisabeth; Lingenfelser, Florian; Mehlmann, Gregor; Stam, Andries; Stellingwerff, Ludo; Lamel, Lori; Vieru, Bianca; Minker, Wolfgang; Pragst, Louisa; Ultes, Stefan (ACM Association for Computer Machinery, 2016)
    We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain. In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social ...
  • Fernandez-Lopez, Adriana; Martinez, Oriol; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Speech is the most used communication method between humans and it involves the perception of auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, although the video can ...