Visualitza INIT_Congressos i Informes per autoria "b83c14e4-766a-4da4-bf1f-939429119880"

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    • closedAccess   Guided Depth Completion Using Active Infrared Images in Time of Flight Systems 

      Achaibou, Amina; Sanmartín-Vich, Nofre; Pla, Filiberto; Calpe, Javier Springer (2023-06-27)
      Depth information has been successfully used in many computer vision applications, but depth imaging sensors frequently provide missing values, mainly around objects boundaries. These invalid values and image gaps cause ...

    • closedAccess   IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging 

      Achaibou, Amina; Pla, Filiberto; Calpe, Javier Springer (2023-11-27)
      This paper introduces an optimization energy framework based on infrared guidance to improve depth consistency in Time of Flight image systems. The primary objective is to formulate the problem as an image energy optimization ...

    • closedAccess   SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto IEEE (2022-07)
      The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop a ...

    • openAccess   Transfer Deep Learning for Remote Sensing Datasets: A Comparison Study 

      Hernandez-Sequeira, Itza; Fernandez-Beltran, Ruben; Pla, Filiberto IEEE (2022-07-17)
      Remote sensing is also benefiting from the quick development of deep learning algorithms for image analysis and classification tasks. In this paper, we evaluate the classification performance of a well-known Convolutional ...

    • closedAccess   Visual Event-Based Egocentric Human Action Recognition 

      Moreno-Rodríguez, Francisco J.; Traver, V. Javier; Pla, Filiberto; Barranco, Francisco; Dimiccoli, Mariella Springer (2022)
      This paper lies at the intersection of three research areas: human action recognition, egocentric vision, and visual event-based sensors. The main goal is the comparison of egocentric action recognition performance under ...