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Computer Science

D-Index
32
Citations
5773
World Ranking
12991
National Ranking
245

Overview

Mateu Sbert is a researcher affiliated with the University of Girona in Spain. Their work primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, and Management Science and Operations Research.

The main topics covered in their research involve Data Visualization and Analytics, Statistical Mechanics and Entropy, Image Retrieval and Classification Techniques, Visual Attention and Saliency Detection, Probabilistic and Robust Engineering Design, Markov Chains and Monte Carlo Methods, and Probability and Risk Models.

Mateu Sbert has contributed to multiple scientific publications, with key recent papers including:

  • Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling, 2022, Entropy
  • Robust Multiple Importance Sampling with Tsallis φ-Divergences, 2022, Entropy
  • Histogram Ordering, 2021, IEEE Access

Other works appearing alongside frequent coauthors, though not authored by Sbert, include papers by Min Chen published in Entropy exploring measures for estimating the benefit of visualization.

Frequent collaborators of Mateu Sbert include:

  • Min Chen
  • Miquel Feixas
  • Jordi Poch
  • Màrius Vila
  • Qiaohong Hao

Mateu Sbert's research has been predominantly disseminated through publication venues such as:

  • Entropy
  • arXiv (Cornell University)
  • IEEE Access
  • 2022 International Joint Conference on Neural Networks (IJCNN)
  • Virtual Reality

Their contributions to Computer Vision and related statistical methods have been cited across various articles, reflecting an active engagement in topics related to entropy, visualization techniques, and importance sampling.

Best Publications

  • Viewpoint Selection using Viewpoint Entropy

    Pere-Pau Vázquez;Miquel Feixas;Mateu Sbert;Wolfgang Heidrich

  • Serious games for health

    Voravika Wattanasoontorn;Imma Boada;Rubén Jesús García;Mateu Sbert

  • Importance-Driven Focus of Attention

    I. Viola;M. Feixas;M. Sbert;M.E. Groller

  • Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images

    Codruta O. Ancuti;Cosmin Ancuti;Mateu Sbert;Radu Timofte

  • Automatic View Selection Using Viewpoint Entropy and its Application to Image-Based Modelling

    Pere-Pau Vázquez;Miquel Feixas;Mateu Sbert;Wolfgang Heidrich

  • A unified information-theoretic framework for viewpoint selection and mesh saliency

    Miquel Feixas;Mateu Sbert;Francisco González

  • Informational Aesthetics Measures

    J. Rigau;M. Feixas;M. Sbert

  • Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement

    Codruta O. Ancuti;Cosmin Ancuti;Christophe De Vleeschouwer;Mateu Sbert

  • Using a serious game to complement CPR instruction in a nurse faculty

    Imma Boada;Antonio Rodriguez-Benitez;Juan Manuel Garcia-Gonzalez;Josep Olivet

  • Fast, realistic lighting for video games

    A. Iones;A. Krupkin;M. Sbert;S. Zhukov

  • Automatic Transfer Functions Based on Informational Divergence

    M. Ruiz;A. Bardera;I. Boada;I. Viola

  • An information theory framework for the analysis of scene complexity

    Miquel Feixas;Esteve del Acebo;Philippe Bekaert;Mateu Sbert

  • Viewpoint quality: measures and applications

    Mateu Sbert;Dimitri Plemenos;Miquel Feixas;Francisco González

  • Computational Aesthetics 2008: Categorizing art: Comparing humans and computers

    Christian Wallraven;Roland Fleming;Douglas Cunningham;Jaume Rigau

  • Multimodal Data Fusion Based on Mutual Information

    R. Bramon;I. Boada;A. Bardera;J. Rodriguez

  • An Integral Geometry Based Method for Fast Form‐Factor Computation

    Mateu Sbert

  • Image Segmentation Using Information Bottleneck Method

    A. Bardera;J. Rigau;I. Boada;M. Feixas

  • An information-theoretic framework for image complexity

    J. Rigau;M. Feixas;M. Sbert

  • Hierarchical Monte Carlo Radiosity

    Philippe Bekaert;László Neumann;Attila Neumann;Mateu Sbert

  • Conceptualizing Birkhoff's aesthetic measure using Shannon entropy and Kolmogorov complexity

    Jaume Rigau;Miquel Feixas;Mateu Sbert

  • Medical Image Segmentation Based on Mutual Information Maximization

    Jaume Rigau;Miquel Feixas;Mateu Sbert;Anton Bardera

Frequent Co-Authors

Min Chen
Min Chen University of Oxford
Christian Wallraven
Christian Wallraven Korea University
Han-Wei Shen
Han-Wei Shen The Ohio State University
Xiaopeng Zhang
Xiaopeng Zhang Chinese Academy of Sciences
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Radu Timofte
Radu Timofte University of Wurzburg
Deborah Silver
Deborah Silver Rutgers, The State University of New Jersey
Christophe De Vleeschouwer
Christophe De Vleeschouwer Université Catholique de Louvain
John A. Howell
John A. Howell University of Aberdeen
Alexander Keller
Alexander Keller Nvidia (United States)

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