Now showing items 1-20 of 131

    • 2D-to-3D facial expression transfer 

      Rotger Moll, Gemma; Lumbreras, Felipe; Moreno-Noguer, Francesc; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Automatically changing the expression and physical features of a face from an input image is a topic that has been traditionally tackled in a 2D domain. In this paper, we bring this problem to 3D and propose a framework ...
    • 3D CNNs on distance matrices for human action recognition 

      Hernández Ruiz, Alejandro José; Porzi, Lorenzo; Rota Bulò, Samuel; Moreno-Noguer, Francesc (2017)
      Conference report
      Open Access
      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 ...
    • 3D human pose estimation from a single image via distance matrix regression 

      Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      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 human pose tracking priors using geodesic mixture models 

      Simó Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc (2017-04-01)
      Article
      Open Access
      We present a novel approach for learning a finite mixture model on a Riemannian manifold in which Euclidean metrics are not applicable and one needs to resort to geodesic distances consistent with the manifold geometry. ...
    • 3D human shape and pose from a single low-resolution image with self-supervised learning 

      Xu, Xiangyu; Chen, Hao; Moreno-Noguer, Francesc; Jeni, Lázló; De La Torre, Fernando (2020)
      Conference report
      Open Access
      3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition to creating ...
    • 3D vehicle detection on an FPGA from LiDAR point clouds 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      In this paper is presented a deep neural network architecture designed to run on a field-programmable gate array (FPGA) for detection vehicle on LIDAR point clouds. This works present a network based on VoxelNet adapted ...
    • 3DPeople: modeling the geometry of dressed humans 

      Pumarola Peris, Albert; Sánchez Riera, Jordi; Choi, Gary; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2019)
      Conference report
      Open Access
      Recent advances in 3D human shape estimation build upon parametric representations that model very well the shape of the naked body, but are not appropriate to represent the clothing geometry. In this paper, we present an ...
    • A 3D descriptor to detect task-oriented grasping points in clothing 

      Ramisa Ayats, Arnau; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Torras, Carme (2016)
      Article
      Open Access
      Manipulating textile objects with a robot is a challenging task, especially because the garment perception is difficult due to the endless configurations it can adopt, coupled with a large variety of colors and designs. ...
    • A bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images 

      Moreno-Noguer, Francesc; Porta Pleite, Josep Maria (2016)
      Article
      Open Access
      In this paper we bring the tools of the Simultaneous Localization and Map Building (SLAM) problem from a rigid to a deformable domain and use them to simultaneously recover the 3D shape of non-rigid surfaces and the sequence ...
    • A high performance CRF model for clothes parsing 

      Simó Serra, Edgar; Fidler, Sanja; Moreno-Noguer, Francesc; Urtasun, Raquel (Springer, 2014)
      Conference report
      Open Access
      In this paper we tackle the problem of clothing parsing: Our goal is to segment and classify different garments a person is wearing. We frame the problem as the one of inference in a pose-aware Conditional Random Field ...
    • A joint model for 2D and 3D pose estimation from a single image 

      Simó Serra, Edgar; Quattoni, Ariadna Julieta; Torras, Carme; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Conference report
      Restricted access - publisher's policy
      We introduce a novel approach to automatically recover 3D human pose from a single image. Most previous work follows a pipelined approach: initially, a set of 2D features such as edges, joints or silhouettes are detected ...
    • A scalable, efficient, and accurate solution to non-rigid structure from motion 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2018)
      Article
      Open Access
      Most Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization approaches that allow reconstructing objects parameterized by a sparse set of 3D points. These solutions, however, are low resolution and ...
    • Accurate and linear time pose estimation from points and lines 

      Vakhitov, A.; Funke, Jan; Moreno-Noguer, Francesc (2016)
      Conference report
      Open Access
      The Perspective-n-Point (PnP) problem seeks to estimate the pose of a calibrated camera from n 3Dto-2D point correspondences. There are situations, though, where PnP solutions are prone to fail because feature point ...
    • Active perception of deformable objects using 3D cameras 

      Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Ramisa Ayats, Arnau; Torras, Carme (Escuela Superior de Ingenieros de la Universidad de Sevilla, 2011)
      Conference report
      Open Access
      Perception and manipulation of rigid objects has received a lot of attention, and several solutions have been proposed. In contrast, dealing with deformable objects is a relatively new and challenging task because they ...
    • Active testing search for point cloud matching 

      Amável Pinheiro, Miguel; Sznitman, Raphael; Serradell, Eduard; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (Springer, 2013)
      Conference report
      Open Access
      We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduced set of ...
    • BASS: boundary-aware superpixel segmentation 

      Rubio Romano, Antonio; Yu, Longlong; Simó Serra, Edgar; Moreno-Noguer, Francesc (IEEE Press, 2016)
      Conference report
      Open Access
      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 ...
    • Boosted Random ferns for object detection 

      Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2018-02-01)
      Article
      Open Access
      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
      Open Access
      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)
      Conference report
      Open Access
      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 ...
    • Characterization of textile grasping experiments 

      Alenyà Ribas, Guillem; Ramisa Ayats, Arnau; Moreno-Noguer, Francesc; Torras, Carme (2012)
      Conference report
      Open Access
      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 ...