Browsing by Author "Sukno, Federico Mateo"

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  • 3D fetal face reconstruction from ultrasound imaging
    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 ...
  • 3D reconstruction for plastic surgery simulation based on statistical shape models
    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 ...
  • A multimodal annotation schema for non-verbal affective analysis in the health-care domain
    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 ...
  • Automatic viseme vocabulary construction to enhance continuous lip-reading
    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 ...
  • Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
    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. ...
  • Composite recurrent network with internal denoising for facial alignment in still and video images in the wild
    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 ...
  • Design of knowledge-based agent as a social companion
    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 ...
  • Efficient remote photoplethysmography with temporal derivative modules and time-shift invariant loss
    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 ...
  • An enhanced adversarial network with combined latent features for spatio-temporal facial affect estimation in the wild
    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 ...
  • Fully end-to-end composite recurrent convolution network for deformable facial tracking in the wild
    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 ...
  • Fusion of valence and arousal annotations through dynamic subjective ordinal modelling
    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 ...
  • Head pose estimation based on 3-D facial landmarks localization and regression
    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 ...
  • KRISTINA: a knowledge-based virtual conversation agent
    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 ...
  • Learning of meaningful visual representations for continuous lip-reading
    Fernández López, Adriana (Universitat Pompeu Fabra, 2021-03-04)
    In the last decades, there has been an increased interest in decoding speech exclusively using visual cues, i.e. mimicking the human capability to perform lip-reading, leading to Automatic Lip-Reading (ALR) systems. However, ...
  • Local shape spectrum analysis for 3D facial expression recognition
    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 ...
  • Look-alike humans identified by facial recognition algorithms show genetic similarities
    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 ...
  • Machine learning-based lie detector applied to a novel annotated game dataset
    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 ...
  • On the quantitative analysis of craniofacial asymmetry in 3D
    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. ...
  • A Quantitative comparison of methods for 3D face reconstruction from 2D images
    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 ...
  • Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model
    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 ...