Browsing by Author "Haro Ortega, Gloria"

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  • A Computational model for amodal completion
    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 ...
  • A journey of computer vision in sports: from tracking to orientation-base metrics
    Arbués Sangüesa, Adrià (Universitat Pompeu Fabra, 2021-10-08)
    Although tracking data have completely revolutionized the whole data science paradigm in sports competitions with the largest economic resources, its use in a European context is still unexplored. In this thesis, three ...
  • An analysis and speedup of the FALDOI method for Optical Flow estimation
    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 ...
  • Audio-visual deep learning methods for musical instrument classification and separation
    Slizovskaia, Olga (Universitat Pompeu Fabra, 2020-11-09)
    In music perception, the information we receive from a visual system and audio system is often complementary. Moreover, visual perception plays an important role in the overall experience of being exposed to a music ...
  • Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies
    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 ...
  • Conditioned source separation for musical instrument performances
    Slizovskaia, Olga; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    In music source separation, the number of sources may vary for each piece and some of the sources may belong to the same family of instruments, thus sharing timbral characteristics and making the sources more correlated. ...
  • Correspondence between audio and visual deep models for musical instrument detection in video recordings
    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 ...
  • End-to-end sound source separation conditioned on instrument labels
    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 source ...
  • FALDOI: a new minimization strategy for large displacement variational optical flow
    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 ...
  • From occlusion to global depth order, a monocular approach
    Rezaeirowshan, Babak; Ballester, Coloma; Haro Ortega, Gloria (Springer, 2016)
    Estimating 3D structure of the scene from a single image remains a challenging problem in computer vision. This paper proposes a novel approach to obtain a global depth order of objects by incorporating monocular perceptual ...
  • Joint large displacement scene flow and occlusion variational estimation
    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 ...
  • L1 Patch-based image partitioning into homogeneous textured regions
    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 ...
  • Monocular depth ordering using perceptual occlusion cues
    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 ...
  • Motion inpainting by an image-based geodesic AMLE method
    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 ...
  • Musical instrument recognition in user-generated videos using a multimodal convolutional neural network architecture
    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 ...
  • Numerical simulation of shallow water equations and some physical models in image processing
    Haro Ortega, Gloria (Universitat Pompeu Fabra, 2011-04-12)
    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 ...
  • On anisotropic optical flow inpainting algorithms
    Raad, Lara; Oliver Parera, Maria; Ballester, Coloma; Haro Ortega, Gloria; Meinhardt Llopis, Enric (IPOL, 2020)
    This work describes two anisotropic optical flow inpainting algorithms. The first one recovers the missing flow values using the Absolutely Minimizing Lipschitz Extension partial differential equation (also called infinity ...
  • Optical flow: related problems
    Palomares, Roberto P. (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 ...
  • A rotation-invariant regularization term for optical flow related problems
    Palomares, Roberto P.; Haro Ortega, Gloria; Ballester, Coloma (Springer, 2014)
    This paper proposes a new regularization term for optical flow related problems. The proposed regularizer properly handles rotation movements and it also produces good smoothness conditions on the flow field while preserving ...
  • Scene understanding from image and video : segmentation, depth configuration
    Oliver Parera, Maria (Universitat Pompeu Fabra, 2018-11-21)
    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, ...