Ara es mostren els items 19-38 de 156

    • 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 ...
    • Body size and depth disambiguation in multi-person reconstruction from single images 

      Ugrinovic Kehdy, Nicolas; Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have ...
    • Boosted Random ferns for object detection 

      Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2018-02-01)
      Article
      Accés obert
      In this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ...
    • Breakingnews: article annotation by image and text processing 

      Ramisa Ayats, Arnau; Yan, Fei; Moreno-Noguer, Francesc; Mikolajczyk, Krystian (Institute of Electrical and Electronics Engineers (IEEE), 2018-05-01)
      Article
      Accés obert
      Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic ...
    • C-Flow: conditional generative flow models for images and 3D point clouds 

      Pumarola Peris, Albert; Popov, Stefan; Moreno-Noguer, Francesc; Ferrari, Vittorio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      Flow-based generative models have highly desirable properties like exact log-likelihood evaluation and exact latent-variable inference, however they are still in their infancy and have not received as much attention as ...
    • Challenge 4: Intelligent robotics 

      Alenyà Ribas, Guillem; Villagrá Serrano, Jorge; Fernández Saavedra, Maria Belén; González de Santos, Pablo; Haber Guerra, Rodolfo E.; Jiménez Ruiz, Antonio Ramón; Ribeiro, Angela; Rocón de Lima, Eduardo; Borràs Sol, Júlia; Moreno-Noguer, Francesc; Torras, Carme (Consejo Superior de Investigaciones Científicas (CSIC), 2021)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Intelligent robotics are called to be the next revolution by providing AI with the capability of interacting with the physical world. Robots are overpassing their cages in the industry to become intelligent machines that ...
    • Characterization of textile grasping experiments 

      Alenyà Ribas, Guillem; Ramisa Ayats, Arnau; Moreno-Noguer, Francesc; Torras, Carme (2012)
      Text en actes de congrés
      Accés obert
      Grasping highly deformable objects, like textiles, is an emerging area of research that involves both percep- tion and manipulation abilities. As new techniques appear, it becomes essential to design strategies to compare ...
    • Combining geometric and appearance priors for robust homography estimation 

      Serradell, Eduard; Özuysa, Mustafa; Lepetit, Vincent; Fua, Pascal; Moreno-Noguer, Francesc (Springer, 2010)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Abstract. The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of ...
    • Combining geometric, textual and visual features for predicting prepositions in image descriptions 

      Ramisa Ayats, Arnau; Wang, Josiah; Lu, Ying; Dellandrea, Emmanuel; Moreno-Noguer, Francesc; Gaizauskas, Robert (2016)
      Text en actes de congrés
      Accés obert
      We investigate the role that geometric, textual and visual features play in the task of predicting a preposition that links two visual entities depicted in an image. The task is an important part of the subsequent process ...
    • Combining local-physical and global-statistical models for sequential deformable shape from motion 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2017-04-01)
      Article
      Accés obert
      In this paper, we simultaneously estimate camera pose and non-rigid 3D shape from a monocular video, using a sequential solution that combines local and global representations. We model the object as an ensemble of particles, ...
    • Context and intention for 3D human motion prediction: experimentation and user study in handover tasks 

      Laplaza Galindo, Javier; Garrell Zulueta, Anais; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Text en actes de congrés
      Accés obert
      In this work we present a novel attention deep learning model that uses context and human intention for 3D human body motion prediction in handover human-robot tasks. This model uses a multi-head attention architecture ...
    • Context-aware human motion prediction 

      Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2020)
      Comunicació de congrés
      Accés obert
      The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision. Current state-of-the-art formulates this problem as a sequence-to-sequence ...
    • D-NeRF: neural radiance fields for dynamic scenes 

      Pumarola Peris, Albert; Corona Puyane, Enric; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images. Among these, stands ...
    • DaLI: deformation and light invariant descriptor 

      Simó Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc (2015-11-01)
      Article
      Accés obert
      Recent advances in 3D shape analysis and recognition have shown that heat diffusion theory can be effectively used to describe local features of deforming and scaling surfaces. In this paper, we show how this description ...
    • Database for 3D human pose estimation from single depth images 

      Arduengo García, Miguel; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2016)
      Report de recerca
      Accés obert
      This work is part of the project I-­-DRESS (Assistive interactive robotic system for support in dressing). The specific objective is the detection of human body postures and the tracking of their movements. To this end, ...
    • Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios 

      Vaquero Gómez, Víctor; del Pino Bastida, Iván; Moreno-Noguer, Francesc; Solà Ortega, Joan; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (IEEE Press, 2017)
      Text en actes de congrés
      Accés obert
      Vehicle detection and tracking is a core ingredient for developing autonomous driving applications in urban scenarios. Recent image-based Deep Learning (DL) techniques are obtaining breakthrough results in these perceptive ...
    • Deep lidar CNN to understand the dynamics of moving vehicles 

      Vaquero Gómez, Víctor; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés obert
      Perception technologies in Autonomous Driving are experiencing their golden age due to the advances in Deep Learning. Yet, most of these systems rely on the semantically rich information of RGB images. Deep Learning solutions ...
    • Deformable motion 3D reconstruction by union of regularized subspaces 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés obert
      This paper presents an approach to jointly retrieve camera pose, time-varying 3D shape, and automatic clustering based on motion primitives, from incomplete 2D trajectories in a monocular video. We introduce the concept ...
    • Deformation and illumination invariant feature point descriptor 

      Moreno-Noguer, Francesc (2011)
      Text en actes de congrés
      Accés obert
      Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper, we introduce a new framework that ...
    • Dense segmentation-aware descriptors 

      Trulls Fortuny, Eduard; Kokkinos, Iasonas; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In this work we exploit segmentation to construct appearance descriptors that can robustly deal with occlusion and background changes. For this, we downplay measurements coming from areas that are unlikely to belong to the ...