Envíos recientes

  • Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images 

    Porzi, Lorenzo; Peñate Sánchez, Adrián; Ricci, Elisa; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    Most recent approaches to 3D pose estimation from RGB-D images address the problem in a two-stage pipeline. First, they learn a classifier –typically a random forest– to predict the position of each input pixel on the ...
  • 3D human pose estimation from a single image via distance matrix regression 

    Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Texto en actas de congreso
    Acceso abierto
    This paper addresses the problem of 3D human pose estimation from a single image. We follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and then using these observations to infer ...
  • 3D CNNs on distance matrices for human action recognition 

    Hernandez Ruiz, Alejandro Jose; Porzi, Lorenzo; Rota Bulò, Samuel; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    In this paper we are interested in recognizing human actions from sequences of 3D skeleton data. For this purpose we combine a 3D Convolutional Neural Network with body representations based on Euclidean Distance Matrices ...
  • Multi-modal embedding for main product detection in fashion 

    Rubio Romano, Antonio; LongLong, Yu; Simo Serra, Edgar; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    We present an approach to detect the main product in fashion images by exploiting the textual metadata associated with each image. Our approach is based on a Convolutional Neural Network and learns a joint embedding of ...
  • Low resolution lidar-based multi object tracking for driving applications 

    del Pino Bastida, Iván; Vaquero Gómez, Víctor; Massini, Beatrice; Solà Ortega, Joan; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer, 2017)
    Texto en actas de congreso
    Acceso abierto
    Vehicle detection and tracking in real scenarios are key com- ponents to develop assisted and autonomous driving systems. Lidar sen- sors are specially suitable for this task, as they bring robustness to harsh weather ...
  • Planning clearing actions in cluttered scenes by phasing in geometrical constraints 

    Covallero, Nicola; Martinez Martinez, David; Alenyà Ribas, Guillem; Torras, Carme (IOS Press, 2017)
    Texto en actas de congreso
    Acceso abierto
    Manipulation planning of cluttered objects involves a mixture of symbolic and geometric constraints which makes such planning very time consuming and often unsuitable for real applications. We propose to divide the geometric ...
  • PL-SLAM: real-time monocular visual SLAM with points and lines 

    Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (IEEE Press, 2017)
    Texto en actas de congreso
    Acceso abierto
    Low textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual SLAM. Yet, there are many environments in which, ...
  • Global model with local interpretation for dynamic shape reconstruction 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    The most standard approach to resolve the inherent ambiguities of the non-rigid structure from motion problem is using low-rank models that approximate deforming shapes by a linear combination of rigid basis. These models ...
  • Multi-modal fashion product retrieval 

    Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (2017)
    Texto en actas de congreso
    Acceso abierto
    Finding a product in the fashion world can be a daunting task. Everyday, e-commerce sites are updating with thousands of images and their associated metadata (textual information), deepening the problem. In this paper, we ...
  • BASS: boundary-aware superpixel segmentation 

    Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (IEEE Press, 2016)
    Texto en actas de congreso
    Acceso abierto
    We propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries ...
  • Semantic segmentation priors for object discovery 

    Martín García, Germán; Husain, Syed Farzad; Schulz, Hannes; Frintrop, Simone; Torras, Carme; Behnke, Sven (IEEE Press, 2016)
    Texto en actas de congreso
    Acceso abierto
    Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ...
  • Recovering pose and 3D deformable shape from multi-instance image ensembles 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Springer, 2017)
    Texto en actas de congreso
    Acceso abierto
    In recent years, there has been a growing interest on tackling the Non-Rigid Structure from Motion problem (NRSfM), where the shape of a deformable object and the pose of a moving camera are simultaneously estimated from ...

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