Ara es mostren els items 51-70 de 156

    • E-DNAS: Differentiable Neural Architecture Search for Embedded Systems 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Designing optimal and light weight networks to fit in resource-limited platforms like mobiles, DSPs or GPUs is a challenging problem with a wide range of interesting applications, e.g. in embedded systems for autonomous ...
    • Efficient 3D object detection using multiple pose-specific classifiers 

      Villamizar Vergel, Michael Alejandro; Grabner, Helmut; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Van Gool, Luc; Moreno-Noguer, Francesc (2011)
      Text en actes de congrés
      Accés obert
      We propose an efficient method for object localization and 3D pose estimation. A two-step approach is used. In the first step, a pose estimator is evaluated in the input images in order to estimate potential object ...
    • Efficient monocular pose estimation for complex 3D models 

      Rubio Romano, Antonio; Villamizar Vergel, Michael Alejandro; Ferraz Colomina, Luis; Peñate Sánchez, Adrián; Ramisa Ayats, Arnau; Simó Serra, Edgar; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Text en actes de congrés
      Accés obert
      We propose a robust and efficient method to estimate the pose of a camera with respect to complex 3D textured models of the environment that can potentially contain more than 100, 000 points. To tackle this problem we ...
    • Efficient rotation invariant object detection using boosted random Ferns 

      Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (2010)
      Text en actes de congrés
      Accés obert
      We present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address ...
    • Enhancing egocentric 3D pose estimation with third person views 

      Dhamanaskar, Ameya; Dimiccoli, Mariella; Corona Puyane, Enric; Pumarola Peris, Albert; Moreno-Noguer, Francesc (Elsevier, 2023-06)
      Article
      Accés obert
      We propose a novel approach to enhance the 3D body pose estimation of a person computed from videos captured from a single wearable camera. The main technical contribution consists of leveraging high-level features linking ...
    • Enhancing text spotting with a language model and visual context information 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (IOS Press, 2018)
      Text en actes de congrés
      Accés obert
      This paper addresses the problem of detecting and recognizing text in images acquired ‘in the wild’. This is a severely under-constrained problem which needs to tackle a number of challenges including large occlusions, ...
    • EPnP: an accurate o(n) solution to the PnP problem 

      Lepetit, V; Moreno-Noguer, Francesc; Fua, P (2009-02)
      Article
      Accés obert
      We propose a non-iterative solution to the PnP problem—the estimation of the pose of a calibrated camera from n 3D-to-2D point correspondences—whose computational complexity grows linearly with n. This is in contrast to ...
    • Estimación monocular y eficiente de la pose usando modelos 3D complejos 

      Rubio Romano, Antonio; Villamizar Vergel, Michael Alejandro; Ferraz Colomina, Luis; Peñate Sánchez, Adrián; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2014)
      Text en actes de congrés
      Accés obert
      El siguiente documento presenta un método robusto y eficiente para estimar la pose de una cámara. El método propuesto asume el conocimiento previo de un modelo 3D del entorno, y compara una nueva imagen de entrada únicamente ...
    • Exhaustive linearization for robust camera pose and focal length estimation 

      Peñate Sanchez, Adrián; Andrade-Cetto, Juan; Moreno-Noguer, Francesc (2013)
      Article
      Accés obert
      We propose a novel approach for the estimation of the pose and focal length of a camera from a set of 3D-to-2D point correspondences. Our method compares favorably to competing approaches in that it is both more accurate ...
    • Exploring ambiguities for monocular non-rigid shape estimation 

      Moreno-Noguer, Francesc; Porta Pleite, Josep Maria; Fua, Pascal (Springer, 2010)
      Text en actes de congrés
      Accés obert
      Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear ...
    • Fast online learning and detection of natural landmarks for autonomous aerial robots 

      Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      We present a method for efficiently detecting natural landmarks that can handle scenes with highly repetitive patterns and targets progressively changing its appearance. At the core of our approach lies a Random Ferns ...
    • FINDDD: A fast 3D descriptor to characterize textiles for robot manipulation 

      Ramisa Ayats, Arnau; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Text en actes de congrés
      Accés obert
      Most current depth sensors provide 2.5D range images in which depth values are assigned to a rectangular 2D array. In this paper we take advantage of this structured information to build an efficient shape descriptor which ...
    • Force-based representation for non-rigid shape and elastic model estimation 

      Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018-09-01)
      Article
      Accés obert
      IEEE This paper addresses the problem of simultaneously recovering 3D shape, pose and the elastic model of a deformable object from only 2D point tracks in a monocular video. This is a severely under-constrained problem ...
    • Ganhand: predicting human grasp affordances in multi-object scenes 

      Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Rogez, Grégory (2020)
      Comunicació de congrés
      Accés obert
      The rise of deep learning has brought remarkable progress in estimating hand geometry from images where the hands are part of the scene. This paper focuses on a new problem not explored so far, consisting in predicting how ...
    • GANimation: anatomically-aware facial animation from a single image 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2018)
      Text en actes de congrés
      Accés obert
      Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that conditions GANs' generation process with ...
    • GANimation: one-shot anatomically consistent facial animation 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2019-01-01)
      Article
      Accés obert
      Recent advances in generative adversarial networks (GANs) have shown impressive results for the task of facial expression synthesis. The most successful architecture is StarGAN (Choi et al. in CVPR, 2018), that conditions ...
    • Generating attribution maps with disentangled masked backpropagation 

      Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Attribution map visualization has arisen as one of the most effective techniques to understand the underlying inference process of Convolutional Neural Networks. In this task, the goal is to compute an score for each image ...
    • Geodesic finite mixture models 

      Simó Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc (2014)
      Text en actes de congrés
      Accés obert
      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. ...
    • Geometry-aware network for non-rigid shape prediction from a single view 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Porzi, Lorenzo; Sanfeliu Cortés, Alberto; Lepetit, Vincent; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés obert
      We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the ...
    • 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 ...