Recent Submissions

  • Rendering piecewise approximations of SDFs through analytic intersections 

    Pujol Puig, Eduard; Chica Calaf, Antonio (Elsevier, 2024-08)
    Article
    Open Access
    Signed distance fields (SDFs) have emerged as an alternative shape representation for real-time collision detection and lighting effects. Computing these for complex models can be expensive, so one popular approach is to ...
  • Effect of color palettes in heatmaps perception: a study 

    Molina López, Elena; Middel Soria, Carolina; Vázquez Alcocer, Pere Pau (European Association for Computer Graphics (Eurographics), 2023)
    Conference lecture
    Open Access
    Heatmaps are a widely used technique in visualization. Unfortunately, they have not been investigated in depth and little is known about the best parameterizations so that they are properly interpreted. The effect of ...
  • Exploring the role of expected collision feedback in crowded virtual environments 

    Yun, Haoran; Pontón Martínez, José Luis; Beacco Porres, Alejandro; Andújar Gran, Carlos Antonio; Pelechano Gómez, Núria (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    An increasing number of virtual reality applications require environments that emulate real-world conditions. These environments often involve dynamic virtual humans showing realistic behaviors. Understanding user perception ...
  • A data-science pipeline to enable the interpretability of many-objective feature selection 

    Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (CEUR-WS.org, 2024)
    Conference lecture
    Open Access
    Many-Objective Feature Selection (MOFS) approaches use four or more objectives to determine the relevance of a subset of features in a supervised learning task. As a consequence, MOFS typically returns a large set of ...
  • Performance analysis of distributed GPU-accelerated task-based workflows 

    Nogueira Lobo de Carvalho, Marcos; Queralt Calafat, Anna; Romero Moral, Óscar; Simitsis, Alkis; Tatu, Cristian; Badia Sala, Rosa Maria (OpenProceedings, 2024)
    Conference report
    Open Access
    We present an empirical approach to identify the key factors affecting the execution performance of task-based workflows on a High Performance Computing (HPC) infrastructure composed of heterogeneous CPU-GPU clusters. Our ...
  • The expected sum of edge lengths in planar linearizations of trees 

    Alemany Puig, Lluís; Ferrer Cancho, Ramon (2024-02-27)
    Article
    Open Access
    Dependency trees have proven to be a very successful model to represent the syntactic structure of sentences of human languages. In these structures, vertices are words and edges connect syntacticallydependent words. The ...
  • Do DL models and training environments have an impact on energy consumption? 

    Rey Juárez, Santiago del; Martínez Fernández, Silverio Juan; Cruz, Luís; Franch Gutiérrez, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Current research in the computer vision field mainly focuses on improving Deep Learning (DL) correctness and inference time performance. However, there is still little work on the huge carbon footprint that has training ...
  • Simulating real-life scenarios to better understand the spread of diseases under different contexts 

    Blanco Guerra, Rafael Andrés; Patow, Gustavo Ariel; Pelechano Gómez, Núria (Springer, 2024-02-01)
    Article
    Open Access
    Current statistical models to simulate pandemics miss the most relevant information about the close atomic interactions between individuals which is the key aspect of virus spread. Thus, they lack a proper visualization ...
  • Adaptive task-oriented chatbots using feature-based knowledge bases 

    Campàs Gené, Carla; Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2023)
    Conference lecture
    Open Access
    Task-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ...
  • Llibre blanc sobre la intel·ligència artificial aplicada a la ciberseguretat 

    Reyes de los Mozos, Mario; Pozo, Abel; Calvo Ibáñez, Albert; Ortiz Rabella, Nil; Careglio, Davide; Hernando Pericás, Francisco Javier; Gibert, Karina (Centre of Innovation for Data Tech and Artificial Intelligence (CIDAI), 2023)
    Book
    Open Access
    Els darrers anys els avanços a la ciència de la Intel·ligència Artificial han estat remarcables, tenint gran impacte en diferents sectors industrials i socials. Existeixen en la actualitat una gran quantitat d’exemples que ...
  • PADELVIC: Multicamera videos and motion capture data in padel matches 

    Javadiha, Mohammadreza; Andújar Gran, Carlos Antonio; Calvanese, Michele; Lacasa Claver, Enrique; Moyes Ardiaca, Jordi; Pontón Martínez, José Luis; Susín Sánchez, Antonio; Wang, Jiabo (2024)
    Article
    Open Access
    Recent advances in computer vision and deep learning techniques have opened new possibilities regarding the automatic labeling of sport videos. However, an essen-tial requirement for supervised techniques is the availability ...
  • SparsePoser: Real-time full-body motion reconstruction from sparse data 

    Pontón Martínez, José Luis; Yun, Haoran; Aristidou, Andreas; Andújar Gran, Carlos Antonio; Pelechano Gómez, Núria (2023-10-31)
    Article
    Open Access
    Accurate and reliable human motion reconstruction is crucial for creating natural interactions of full-body avatars in Virtual Reality (VR) and entertainment applications. As the Metaverse and social applications gain ...

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