Browsing by Author "Haro Ortega, Gloria"

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  • Oliver, Maria; Haro Ortega, Gloria; Dimiccoli, Mariella; Mazin, Baptiste; Ballester, Coloma (Springer, 2016)
    This paper presents a computational model to recover the most likely interpretation of the 3D scene structure from a planar image, where some objects may occlude others. The estimated scene interpretation is obtained by ...
  • Gamonal, Ferran P.; Ballester, Coloma; Haro Ortega, Gloria; Meinhardt-Llopis, Enric; Palomares, Roberto P. (Editor Image Processing On Line, 2019)
    We present a detailed analysis of FALDOI, a large displacement optical flow method proposed by P. Palomares et al. This method requires a set of discrete matches, which can be extremely sparse, and an energy functional ...
  • Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule für Musik und Theater Hamburg, 2016)
    The goal of this work is to incorporate the visual modality into a musical instrument recognition system. For that, we first evaluate state-of-the-art image recognition techniques in the context of music instrument ...
  • Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (International Society for Music Information Retrieval (ISMIR), 2017)
    This work aims at investigating cross-modal connections between audio and video sources in the task of musical instrument recognition. We also address in this work the understanding of the representations learned by ...
  • Slizovskaia, Olga; Kim, Leo; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? This paper presents an extension of the Wave-UNet [1] model which allows end-to-end monaural ...
  • Palomares, Roberto P.; Meinhardt Llopis, Enric; Ballester, Coloma; Haro Ortega, Gloria (Springer, 2017)
    We propose a large displacement optical flow method that introduces a new strategy to compute a good local minimum of any optical flow energy functional. The method requires a given set of discrete matches, which can be ...
  • Palomares, Roberto P.; Haro Ortega, Gloria; Ballester, Coloma (SCITEPRESS – Science and Technology Publications, Lda., 2017)
    This paper presents a novel variational approach for the joint estimation of scene flow and occlusions. Our method does not assume that a depth sensor is available. Instead, we use a stereo sequence and exploit the fact ...
  • Oliver, Maria; Haro Ortega, Gloria; Fedorov, Vadim; Ballester, Coloma (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    This paper proposes a novel patch-based variational segmentation method that considers adaptive patches to characterize, in an affine invariant way, the local structure of each homogeneous texture region of the image and ...
  • Rezaeirowshan, Babak; Ballester, Coloma; Haro Ortega, Gloria (SCITEPRESS – Science and Technology Publications, Lda., 2016)
    In this paper we propose a method to estimate a global depth order between the objects of a scene using information from a single image coming from an uncalibrated camera. The method we present stems from early vision cues ...
  • Oliver, Maria; Raad, Lara; Ballester, Coloma; Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    This work presents an automatic method for optical flow inpainting. Given a video, each frame domain is endowed with a Riemannian metric based on the video pixel values. The missing optical flow is recovered by solving the ...
  • Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (ACM Association for Computer Machinery, 2017)
    This paper presents a method for recognizing musical instruments in user-generated videos. Musical instrument recognition from music signals is a well-known task in the music information retrieval (MIR) field, where current ...
  • Haro Ortega, Gloria (Universitat Pompeu Fabra, 2005-07-11)
    There are two main subjects in this thesis: the first one deals with the numerical simulation of shallow water equations, the other one is the resolution of some problems in image processing<br/><br/>The first part of this ...
  • Pérez Palomares, Roberto Pablo (Universitat Pompeu Fabra, 2017-04-06)
    Motion estimation plays a key role in many of the image processing and computer vision problems. This thesis addresses the problem of recovering a dense motion field from a scene through the Calculus of Variations. In ...
  • Oliver Parera, Maria (Universitat Pompeu Fabra, 2018-10-17)
    In this thesis we aim at analyzing images and videos at the object level, with the goal of decomposing the scene into complete objects that move and interact among themselves. The thesis is divided in three parts. First, ...
  • Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2014)
  • Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    We propose a 3D reconstruction algorithm based on silhouettes and color images. It is robust to inconsistent silhouettes, often common in real applications due to occlusions, errors in the background subtraction, noise or ...
  • Oliver, Maria; Palomares, Roberto P.; Ballester, Coloma; Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    We propose a new variational method for the completion of moving shapes through binary video inpainting that works by smoothly recovering the objects into an inpainting hole. We solve it by a simple dynamic shape analysis ...
  • Gómez Gutiérrez, Emilia, 1975-; Arias Martínez, Pablo; Zinemanas, Pablo; Haro Ortega, Gloria (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Automatic transcription is a well-known task in the music information retrieval (MIR) domain, and consists on the computation of a symbolic music representation (e.g. MIDI) from an audio recording. In this work, we address ...