Browsing by Author "Binefa i Valls, Xavier"

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  • Rodríguez, Juan Antonio; Comas, Joaquim; Binefa i Valls, Xavier (IOS Press, 2021)
    Virtual learning and education have become crucial during the COVID19 pandemic, which has forced a rethink by teachers and educators into designing online content and the indirect interaction with students. In an face-to-face ...
  • 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 ...
  • Cirujeda Santolaria, Pol (Universitat Pompeu Fabra, 2015-11-12)
    En aquesta tesi s’explora l’ús de descriptors basats en la covariància per tal de traslladar la observació de característiques dins de regions d’interès a un determinat espai descriptiu que utilitzi les matrius de covariància ...
  • Aspandi, Decky (Universitat Pompeu Fabra, 2021-03-05)
    Automatic Facial Analysis is one of the most important field of computer vision due to its significant impacts to the world we currently live in. Among many applications of Automatic Facial Analysis, Facial Alignment and ...
  • Comas, Joaquim; Aspandi, Decky; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    In recent years, affective computing and its applications have become a fast-growing research topic. Furthermore, the rise of deep learning has introduced significant improvements in the emotion recognition system compared ...
  • 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 ...
  • Ruiz, Adrià; Van de Weijer, Joost; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Limited annotated training data is a challenging problem in Action Unit recognition. In this paper, we investigate how the use of large databases labelled according to the 6 universal facial expressions can increase the ...
  • 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 ...
  • Aspandi, Decky; Martínez, Oriol; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Automatic kinship recognition using Computer Vision, which aims to infer the blood relationship between individuals by only comparing their facial features, has started to gain attention recently. The introduction of large ...
  • Aspandi, Decky; Mallol Ragolta, Adrià; Schuller, Björn; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    There is a growing interest in affective computing research nowadays given its crucial role in bridging humans with computers. This progress has recently been accelerated due to the emergence of bigger dataset. One recent ...
  • Joshi, Ricky S.; Rigau, Maria; García-Prieto, Carlos A.; Castro de Moura, Manuel; Piñeyro, David; Moran, Sebastian; Davalos, Veronica; Carrión, Pablo; Ferrando-Bernal, Manuel; 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 ...
  • Ruiz, Adrià; Rudovic, Ognjen; Binefa i Valls, Xavier; Pantic, Maja (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    We propose a multi-instance-learning (MIL) approach for weakly supervised learning problems, where a training set is formed by bags (sets of feature vectors or instances) and only labels at bag-level are provided. Specifically, ...
  • Ruiz Ovejero, Adrià; Rudovic, Ognjen; Binefa i Valls, Xavier; Pantic, Maja (Springer, 2017)
    In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi-Instance-Ordinal Regression). Moreover, we consider the case where bags are temporal ...
  • Aspandi, Decky; Martínez, Oriol; Sukno, Federico Mateo; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    The development of facial alignment models is growing rapidly thanks to the availability of large facial landmarked datasets and powerful deep learning models. However, important challenges still remain for facial alignment ...
  • Martinez Pujol, Oriol, (Universitat Pompeu Fabra, 2016-02-04)
    En aquesta dissertació es fusionen dos dels temes tradicionals de la Visió per Computador: la segmentació i el seguiment d'objectes. Per a la segmentació s'utilitzen mètodes basats en "Active Contours (AC)" i per al seguiment ...
  • Ruiz Ovejero, Adrià (Universitat Pompeu Fabra, 2017-11-23)
    In this Thesis we focus on Automatic Facial Behavior Analysis, which attempts to develop autonomous systems able to recognize and understand human facial expressions. Given the amount of information expressed by facial ...