Now showing items 1-6 of 6

    • 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 ...
    • Flota de robots móviles para el reconocimiento automático del entorno 

      Parés Pont, Ferran; Caro Huamaní, Bruno Lionel (Universitat Politècnica de Catalunya, 2014-06-11)
      Bachelor thesis
      Open Access
      Aquest projecte té com objectiu el disseny i muntatge d’un sistema compost per tres robots mòbils i una unitat central. Aquest sistema pretén servir com a plataforma de desenvolupament per a tècniques SLAM. Cada robot ...
    • 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 Aesthetic Learning with Deep Convolutional Neural Networks 

      Parés Pont, Ferran (Universitat Politècnica de Catalunya, 2016-04-14)
      Master thesis
      Restricted access - confidentiality agreement
    • MetH: A family of high-resolution and variable-shape image challenges 

      Parés Pont, Ferran; Garcia Gasulla, Dario; Servat, Harald; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (2019-11-20)
      External research report
      Open Access
      High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks is sub-optimal for many tasks, and has ...
    • On the behavior of convolutional nets for feature extraction 

      Garcia-Gasulla, Dario; Parés Pont, Ferran; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (2018-03)
      Article
      Open Access
      Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ...