Ara es mostren els items 8-14 de 14

  • Detección de objetos y anotación de imágenes en el iPhone 

    Blanco Almazan, M. Dolores (Universitat Politècnica de Catalunya, 2013-02-25)
    Projecte/Treball Final de Carrera
    Accés obert
    [ANGLÈS] This project is about object detection on a mobile device like iPhone. The iPhone tool allows users to take pictures, annotate them with bounding boxes and object tags and uploading the data to the server. With ...
  • Enhancing low-level features with mid-level cues 

    Trulls Fortuny, Eduard (Universitat Politècnica de Catalunya, 2015-02-20)
    Accés obert
    Local features have become an essential tool in visual recognition. Much of the progress in computer vision over the past decade has built on simple, local representations such as SIFT or HOG. SIFT in particular shifted ...
  • Hierarchical object detection with deep reinforcement learning 

    Bellver, Míriam; Giró Nieto, Xavier; Marqués Acosta, Fernando; Torres Viñals, Jordi (IOS Press, 2017-11-23)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
  • Measures and meta-measures for the supervised evaluation of image segmentation 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE Computer Society Publications, 2013)
    Text en actes de congrés
    Accés obert
    This paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ...
  • Multi-task Deep Learning models for real-time deployment in embedded systems 

    Martí I Rabadán, Miquel (Universitat Politècnica de Catalunya, 2017-05-23)
    Projecte Final de Màster Oficial
    Accés obert
    Realitzat a/amb:  KTH - School of Electrical Engineering
    Multitask Learning (MTL) was conceived as an approach to improve the generalization ability of machine learning models. When applied to neural networks, multitask models take advantage of sharing resources for reducing the ...
  • Object recognition in urban hyperspectral images using binary partition tree representation 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ...
  • Region-based face detection, segmentation and tracking. framework definition and application to other objects 

    Vilaplana Besler, Verónica (Universitat Politècnica de Catalunya, 2010-12-17)
    Accés obert
    One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ...