Now showing items 1-20 of 21

    • 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 ...
    • Attention deep learning based model for predicting the 3D Human Body Pose using the Robot Human Handover Phases 

      Laplaza Galindo, Javier; Pumarola Peris, Albert; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (2021)
      Conference report
      Open Access
      This work proposes a human motion prediction model for handover operations. We use in this work, the different phases of the handover operation to improve the human motion predictions. Our attention deep learning based ...
    • Bridging the gap between reconstruction and synthesis 

      Pumarola Peris, Albert (2021-10-13)
      Doctoral thesis
      Open Access
      3D reconstruction and image synthesis are two of the main pillars in computer vision. Early works focused on simple tasks such as multi-view reconstruction and texture synthesis. With the spur of Deep Learning, the field ...
    • 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 ...
    • Context-aware human motion prediction 

      Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2020)
      Conference lecture
      Open Access
      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 ...
    • Control de comportament d'un robot de servei per mitjà d'una arquitectura cognitiva 

      Pumarola Peris, Albert (Universitat Politècnica de Catalunya, 2014-06-30)
      Master thesis (pre-Bologna period)
      Open Access
      [CATALÀ] Aquest treball planteja nou enfocament per la resolució de tasques complexes en la robòtica de servei. Amb aquest objectiu, s'ha implementat una arquitectura cognitiva basada en Soar. Aquesta arquitectura ha estat ...
    • 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)
      Conference report
      Open Access
      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 ...
    • Ganhand: predicting human grasp affordances in multi-object scenes 

      Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Rogez, Grégory (2020)
      Conference lecture
      Open Access
      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)
      Conference report
      Open Access
      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
      Open Access
      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 ...
    • 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)
      Conference report
      Open Access
      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 ...
    • H3D-Net: Few-shot high-fidelity 3D head reconstruction 

      Ramon Maldonado, Eduard; Triginer Garcés, Gil; Escurt i Gelabert, Janna; Pumarola Peris, Albert; García Giráldez, Jaime; Giró Nieto, Xavier; Moreno-Noguer, Francesc (Computer Vision Foundation, 2021)
      Conference lecture
      Open Access
      Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D reconstruction. The effectiveness of these ...
    • Optimization of common computer vision algorithms : beating OpenCV face detector 

      Pumarola Peris, Albert (Universitat Politècnica de Catalunya, 2016-06-23)
      Master thesis
      Open Access
      In this Master Thesis one of the most common problems related to face detection is presented: fast and accurate unconstrained face detection. To deal with this problem a new general learning method is presented. The proposed ...
    • Perception for detection and grasping 

      Guerra Paradas, Edmundo; Pumarola Peris, Albert; Grau Saldes, Antoni; Sanfeliu Cortés, Alberto (Springer, 2019)
      Part of book or chapter of book
      Open Access
      This research presents a methodology for the detection of the crawler used in the project AEROARMS. The approach consisted on using a two-step progressive strategy, going from rough detection and tracking, for approximation ...
    • PhysXNet: a customizable approach for learning cloth dynamics on dressed people 

      Sánchez Riera, Jordi; Pumarola Peris, Albert; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      We introduce PhysXNet, a learning-based approach to predict the dynamics of deformable clothes given 3D skeleton motion sequences of humans wearing these clothes. The proposed model is adaptable to a large variety of ...
    • 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)
      Conference report
      Open Access
      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, ...
    • Relative localization for aerial manipulation with PL-SLAM 

      Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Springer, 2019)
      Part of book or chapter of book
      Open Access
      This chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly textured scenes or motion ...
    • SMPLicit: Topology-aware generative model for clothed people 

      Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that require training specific models for each ...
    • Unsupervised image-to-video clothing transfer 

      Pumarola Peris, Albert; Goswami, Vedanuj; Vicente, Francisco; De La Torre, Fernando; Moreno-Noguer, Francesc (2019)
      Conference report
      Open Access
      We present a system to photo-realistically transfer the clothing of a person in a reference image into another person in an unconstrained image or video. Our architecture is based on a GAN equipped with a physical memory ...
    • Unsupervised person image synthesis in arbitrary poses 

      Pumarola Peris, Albert; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      We present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our ...