Now showing items 1-20 of 32

    • A quaternion deterministic monogenic CNN layer for contrast invariance 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
      Part of book or chapter of book
      Open Access
      Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...
    • A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Sánchez-Pérez, Abraham; Salazar Colores, Sebastián; Cortés García, Claudio Ulises (Institute of Electrical and Electronics Engineers (IEEE), 2021-12-20)
      Article
      Open Access
      Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the mammalian visual systems such as invariance ...
    • Applying deep learning for food image analysis 

      Asenjo Ponce de León, Marc (Universitat Politècnica de Catalunya, 2020-04)
      Master thesis
      Open Access
      With the increasing availability of data on the internet, deep learning techniques have been on the rise these past decade. Food images specifically are one of the most commonly shared types of image on social media. ...
    • Atmospheric phase drift analysis and compensation in permanent Gb-Sar monitoring of crop fields 

      Palacio García, Héctor; Broquetas Ibars, Antoni; Aguasca Solé, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      In the framework of a feasibility study in support of the Hydroterra mission, a high resolution radar has been setup to monitor continuously a crop field with high resolution synthetic aperture radar images. In parallel, ...
    • Automated image analysis for single-atom detection in catalytic materials by transmission electron microscopy 

      Mitchell, Sharon; Parés Pont, Ferran; Faust Akl, Dario; Collins, Sean; Kepaptsoglou, Demie; Ramasse, Quentin; Garcia Gasulla, Dario; Pérez Ramírez, Javier; López Alonso, Nuria (2022-03-25)
      Article
      Open Access
      Single-atom catalytic sites may have existed in all supported transition metal catalysts since their first application. Yet, interest in the design of single-atom heterogeneous catalysts (SACs) only really grew when advances ...
    • Automated location of active fire perimeters in aerial infrared imaging using unsupervised edge detectors 

      Valero Pérez, Mario Miguel; Rios, Oriol; Pastor Ferrer, Elsa; Planas Cuchi, Eulàlia (2018-04-23)
      Article
      Open Access
      A variety of remote sensing techniques have been applied to forest fires. However, there is at present no system capable of monitoring an active fire precisely in a totally automated manner. Spaceborne sensors show too ...
    • Building graph representations of deep vector embeddings 

      Garcia Gasulla, Dario; Vilalta Arias, Armand; Parés Pont, Ferran; Moreno Vázquez, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Association for Computational Linguistics, 2017)
      Conference lecture
      Open Access
      Patterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ...
    • Deep convolutional neural network architecture for effective Image analysis 

      Ros Martí, Marc (Universitat Politècnica de Catalunya, 2017)
      Master thesis
      Open Access
      Covenantee:   Kungliga Tekniska högskolan
      This master thesis presents the process of designing and implementing a CNN-based architecture for image recognition included in a larger project in the field of fashion recommendation with deep learning. Concretely, the ...
    • Diseño de un nuevo prototipo de medida de granulometría por análisis de imagen 

      Andrieu, Yann (Universitat Politècnica de Catalunya, 2013-06)
      Master thesis (pre-Bologna period)
      Open Access
      Las medidas de granulometría son un medio eficaz para controlar el buen funcionamiento del proceso de fabricación de los azúcares. Sin embargo, las técnicas de granulometría actuales, como la del tamizado, se aplican bien ...
    • Effective visualization of sparse image-to-image correspondences 

      Andújar Gran, Carlos Antonio; Chica Calaf, Antonio; Comino Trinidad, Marc (European Association for Computer Graphics (Eurographics), 2020)
      Conference report
      Open Access
      Finding robust correspondences between images is a crucial step in photogrammetry applications. The traditional approach to visualize sparse matches between two images is to place them side-by-side and draw link segments ...
    • Estudio de la medida de la difusión intraocular con un nuevo parámetro basado en el análisis de imágenes de doble paso en el dominio de las frecuencias. 

      Estrada Asensio, Maria (Universitat Politècnica de Catalunya, 2018-10-25)
      Master thesis
      Open Access
      Objetivo: Validar un nuevo parámetro para la medida de la difusión intraocular basado en el análisis de imágenes de doble paso en el dominio de las frecuencias (FSI, Frequency Scatter Index). Lugar: Servicio Oftalmológico, ...
    • Estudio de viabilidad de un sistema óptico para medir la concentración de inmisión de partículas atmosféricas 

      García Rodríguez, Carlos (Universitat Politècnica de Catalunya, 2014-06)
      Master thesis (pre-Bologna period)
      Open Access
      En la actualidad, cada vez son más las ciudades que tienen un exceso de contaminantes en la atmósfera que respiran sus ciudadanos. Uno de estos contaminantes son las partículas microscópicas, que cuando son menores de ...
    • Extracting information from images to improve real estate marketplaces' experience 

      Bosch i Mustarós, Eduard (Universitat Politècnica de Catalunya, 2021-07-02)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • Focus and bias: will it blend? 

      Arias Duart, Anna; Parés Pont, Ferran; Giménez Ábalos, Víctor; Garcia Gasulla, Dario (IOS Press, 2022)
      Conference report
      Open Access
      One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ...
    • Full-network embedding in a multimodal embedding pipeline 

      Vilalta Arias, Armand; Garcia Gasulla, Dario; Parés Pont, Ferran; Moreno Vázquez, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Association for Computational Linguistics, 2017)
      Conference lecture
      Open Access
      The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ...
    • Image analysis using deep-learning over a distributed platform such as spark in the Marenostrum 

      Cruz de la Cruz, Stalin Leonel (Universitat Politècnica de Catalunya, 2016-06-28)
      Master thesis
      Open Access
      In recent years the digital universe has grown exponentially, the common use of the Internet has led to a new way to generate and consume information, only 10 years ago, it was necessary a deployment of technological i ...
    • Impact of SAR image resolution on polarimetric persistent scatterer interferometry with amplitude dispersion optimization 

      Zhao, Feng; Mallorquí Franquet, Jordi Joan; López Sánchez, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Article
      Open Access
      Polarimetric persistent scatterer interferometry (PolPSI) takes advantage of polarimetric optimization algorithms that enhance interferograms’ phase quality by adequately combining the available polarization channels (e.g., ...
    • Impact of SAR image resolution on the performance of the amplitude dispersion optimization for polarimetric persistent scatterer interferometry 

      Zhao, Feng; Mallorquí Franquet, Jordi Joan; López Sánchez, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      Polarimetric persistent scatterer interferometry (PolPSI) takes advantage of polarimetric optimization algorithms that enhance interferograms’ phase quality by adequately combining the available polarization channels (e.g., ...
    • Large-scale video analytics through object-level consolidation 

      Rivas Barragan, Daniel; Guim Bernat, Francesc; Polo Bardés, Jorda; Berral García, Josep Lluís; Carrera Pérez, David (Springer, 2022)
      Conference report
      Open Access
      As the number of installed cameras grows, so do the compute resources required to process and analyze all the images captured by these cameras. Video analytics enables new use cases, such as smart cities or autonomous ...
    • Limits to the representation capacity of imaging in random media 

      Belmonte Molina, Aniceto (2013-10-02)
      Article
      Open Access
      The information capacity of an image in the atmosphere, ocean, or biological media does not grow indefinitely with increasing light power but has well defined limits. Here, the exact effects of the propagation of light in ...