Enviaments recents

  • Planning clearing actions in cluttered scenes by phasing in geometrical constraints 

    Covallero, Nicola; Martinez Martinez, David; Alenyà Ribas, Guillem; Torras, Carme (IOS Press, 2017)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • Structured prediction with output embeddings for semantic image annotation 

    Quattoni, Ariadna Julieta; Ramisa Ayats, Arnau; Madhyastha, Pranava S.; Simo Serra, Edgar; Moreno-Noguer, Francesc (2016)
    Text en actes de congrés
    Accés obert
    We address the task of annotating images with semantic tuples. Solving this problem requires an algorithm able to deal with hundreds of classes for each argument of the tuple. In such contexts, data sparsity becomes a key ...
  • Personalization framework for adaptive robotic feeding assistance 

    Canal Camprodon, Gerard; Alenyà Ribas, Guillem; Torras, Carme (2016)
    Text en actes de congrés
    Accés obert
    The deployment of robots at home must involve robots with pre-defined skills and the capability of personalizing their behavior by non-expert users. A framework to tackle this personalization is presented and applied to ...
  • User evaluation of an interactive learning framework for single-arm and dual-arm robots 

    Jevtic, Aleksandar; Colomé Figueras, Adrià; Alenyà Ribas, Guillem; Torras, Carme (Springer, 2016)
    Text en actes de congrés
    Accés obert
    Social robots are expected to adapt to their users and, like their human counterparts, learn from the interaction. In our previous work, we proposed an interactive learning framework that enables a user to intervene and ...

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