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Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Sukno, Federico Mateo"

Browsing Departament de Tecnologies de la Informació i les Comunicacions by Author "Sukno, Federico Mateo"

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  • Alomar Adrover, Antònia; Morales, Araceli; Vellvé, Kilian; Porras Pérez, Antonio Reyes; Crispi Brillas, Fàtima; Linguraru, Marius; Piella Fenoy, Gemma; Sukno, Federico Mateo (SciTePress. Science and Technology Publications, 2021)
    The fetal face contains essential information in the evaluation of congenital malformations and the fetal brain function, as its development is driven by genetic factors at early stages of embryogenesis. Three-dimensional ...
  • 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 ...
  • Aspandi, Decky; Sukno, Federico Mateo; Schuller, Björn; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    The interest in automatic emotion recognition and the larger field of Affective Computing has recently gained momentum. The current emergence of large, video-based affect datasets offering rich multi-modal inputs facilitates ...
  • 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 ...
  • Morales, Araceli; Alomar Adrover, Antònia; Porras Pérez, Antonio Reyes; Linguraru, Marius George; Piella Fenoy, Gemma; Sukno, Federico Mateo (Elsevier, 2023)
    We present a 3D face reconstruction system that aims at recovering the 3D facial geometry of babies from uncalibrated photographs, BabyNet. Since the 3D facial geometry of babies differs substantially from that of adults, ...
  • 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. ...
  • Aspandi, Decky; Martinez, Oriol; Sukno, Federico Mateo; Binefa i Valls, Xavier (Elsevier, 2021)
    Facial alignment is an essential task for many higher level facial analysis applications, such as animation, human activity recognition and human - computer interaction. Although the recent availability of big datasets and ...
  • 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 ...
  • Comas, Joaquim; Ruiz Ovejero, Adrià; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    We present a lightweight neural model for remote heart rate estimation focused on the efficient spatio-temporal learning of facial photoplethysmography (PPG) based on i) modelling of PPG dynamics by combinations of multiple ...
  • Aspandi, Decky; Sukno, Federico Mateo; Schuller, Björn; Binefa i Valls, Xavier (Scitepress, 2021)
    Affective Computing has recently attracted the attention of the research community, due to its numerous applications in diverse areas. In this context, the emergence of video-based data allows to enrich the widely used ...
  • Sukno, Federico Mateo; Aspandi, Decky; Martínez, Oriol; Sukno, Federico Mateo; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Human facial tracking is an important task in computer vision, which has recently lost pace compared to other facial analysis tasks. The majority of current available tracker possess two major limitations: their little use ...
  • 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 when ...
  • 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 ...
  • Joshi, Ricky S.; Rigau, Maria; García-Prieto, Carlos A.; Castro de Moura, Manuel; Piñeyro, David; Moran, Sebastian; Davalos, Veronica; Carrión, Pablo; Ferrando-Bernal, Manuel, 1990-; Olalde Marquínez, Íñigo, 1987-; Lalueza Fox, Carles, 1965-; Navarro i Cuartiellas, Arcadi, 1969-; Fernández-Tena, Carles; Aspandi, Decky; Sukno, Federico Mateo; Binefa i Valls, Xavier; Valencia, Alfonso; Esteller, Manel (Elsevier, 2022)
    The human face is one of the most visible features of our unique identity as individuals. Interestingly, monozygotic twins share almost identical facial traits and the same DNA sequence but could exhibit differences in ...
  • Rodriguez-Diaz, Nuria; Aspandi, Decky; Sukno, Federico Mateo; Binefa, Xavier (MDPI, 2022)
    Lie detection is considered a concern for everyone in their day-to-day life, given its impact on human interactions. Thus, people normally pay attention to both what their interlocutors are saying and to their visual ...
  • 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. ...
  • Morales, Araceli; Piella Fenoy, Gemma; Martínez, Oriol; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    In the past years, many studies have highlighted the relation between deviations from normal facial morphology (dysmorphology) and some genetic and mental disorders. Recent advances in methods for reconstructing the 3D ...
  • Alomar Adrover, Antònia; Morales, Araceli; Vellvé, Kilian; Porras, Antonio R.; Crispi, Fatima; Linguraru, Marius George; Piella Fenoy, Gemma; Sukno, Federico Mateo (Elsevier, 2022)
    Background and objective: The fetal face is an essential source of information in the assessment of congenital malformations and neurological anomalies. Disturbance in early stages of development can lead to a wide range ...

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