Exploració per autor "Moreno-Noguer, Francesc"
Ara es mostren els items 74-93 de 157
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Image collection pop-up: 3D reconstruction and clustering of rigid and non-rigid categories
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertThis paper introduces an approach to simultaneously estimate 3D shape, camera pose, and object and type of deformation clustering, from partial 2D annotations in a multi-instance collection of images. Furthermore, we can ... -
Improving map re-localization with deep 'movable' objects segmentation on 3D LiDAR point clouds
(2019)
Text en actes de congrés
Accés obertLocalization and Mapping is an essential compo-nent to enable Autonomous Vehicles navigation, and requiresan accuracy exceeding that of commercial GPS-based systems.Current odometry and mapping algorithms are able to ... -
Integrating human body mocaps into Blender using RGB images
(International Academy, Research, and Industry Association (IARIA), 2020)
Text en actes de congrés
Accés obertReducing the complexity and cost of a Motion Capture (MoCap) system has been of great interest in recent years. Unlike other systems that use depth range cameras, we present an algorithm that is capable of working as a ... -
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments
(Elsevier BV, 2007)
Article
Accés obertIn this paper we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the algorithms that adapt color, there is not the ... -
Interactive multiple object learning with scanty human supervision
(2016-08)
Article
Accés obertWe present a fast and online human-robot interaction approach that progressively learns multiple object classifiers using scanty human supervision. Given an input video stream recorded during the human robot interaction, ... -
Joint coarse-and-fine reasoning for deep optical flow
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertWe propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed ... -
Learned vertex descent: a new direction for 3D human model fitting
(Springer, 2022)
Text en actes de congrés
Accés obertWe propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In contrast to existing approaches that directly regress the parameters of a low-dimensional statistical body model (e.g. SMPL) ... -
Learning depth-aware deep representations for robotic perception
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Article
Accés obertExploiting RGB-D data by means of Convolutional Neural Networks (CNNs) is at the core of a number of robotics applications, including object detection, scene semantic segmentation and grasping. Most existing approaches, ... -
Learning RGB-D descriptors of garment parts for informed robot grasping
(2014)
Article
Accés obertRobotic handling of textile objects in household environments is an emerging application that has recently received considerable attention thanks to the development of domestic robots. Most current approaches follow a ... -
Learning shape, motion and elastic models in force space
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertIn this paper, we address the problem of simultaneously recovering the 3D shape and pose of a deformable and potentially elastic object from 2D motion. This is a highly ambiguous problem typically tackled by using low-rank ... -
LETHA: learning from high quality inputs for 3D pose estimation in low quality images
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés obertWe introduce LETHA (Learning on Easy data, Test on Hard), a new learning paradigm consisting of building strong priors from high quality training data, and combining them with discriminative machine learning to deal with ... -
Leveraging feature uncertainty in the PnP problem
(2014)
Text en actes de congrés
Accés obertWe propose a real-time and accurate solution to the Perspective-n-Point (PnP) problem –estimating the pose of a calibrated camera from n 3D-to-2D point correspondences– that exploits the fact that in practice the 2D position ... -
Lie algebra-based kinematic prior for 3D human pose tracking
(2015)
Text en actes de congrés
Accés obertWe propose a novel kinematic prior for 3D human pose tracking that allows predicting the position in subsequent frames given the current position. We first define a Riemannian manifold that models the pose and extend it ... -
Low resolution lidar-based multi object tracking for driving applications
(Springer, 2017)
Text en actes de congrés
Accés obertVehicle 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 ... -
Matchability prediction for full-search template matching algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertWhile recent approaches have shown that it is possible to do template matching by exhaustively scanning the parameter space, the resulting algorithms are still quite demanding. In this paper we alleviate the computational ... -
Modeling robot's world with minimal effort
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertWe propose an efficient Human Robot Interaction approach to efficiently model the appearance of all relevant objects in robot’s environment. Given an input video stream recorded while the robot is navigating, the user just ... -
Modelling a new workflow based on emotional analysis of the floor-plans using machine learning algorithms and semiotics
(Centre de Politica de Sol i Valoracions, CPSV / Universitat Politècnica de Catalunya, UPC, 2019-12)
Text en actes de congrés
Accés obertEl propósito inicial de la tecnología es ayudarnos en tareas repetitivas. Por ejemplo, en los últimos años, los programas CAD están ayudando a los diseñadores a dedicar más tiempo al diseño mismo; estar limitado por la ... -
Morphological symmetries in robot learning
(OpenReview.net, 2023)
Text en actes de congrés
Accés obertThis work studies the impact of morphological symmetries in learning applications in robotics. Morphological symmetries are a predominant feature in both biological and robotic systems, arising from the presence of planes/axis ... -
MSClique: Multiple structure discovery through the maximum weighted clique problem
(2016-01-01)
Article
Accés obertWe present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to ... -
Multi-FinGAN: generative coarse-to-fine sampling of multi-finger grasps
(2021)
Text en actes de congrés
Accés obertWhile there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi- finger robotic hands remains a quite unexplored research topic. Reasoning and planning collision-free trajectories ...
