Browsing by Author "Aspandi, Decky"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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, 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 ...
  • 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 ...

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