Ponències/Comunicacions de congressos: Enviaments recents

Ara es mostren els items 1-12 de 252

    • PoseFix: correcting 3D human poses with natural language 

      Delmas, Ginger; Weinzaepfel, Philippe; Moreno-Noguer, Francesc; Rogez, Grégory (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Automatically producing instructions to modify one’s posture could open the door to endless applications, such as personalized coaching and in-home physical therapy. Tackling the reverse problem (i.e., refining a 3D pose ...

    • Introducing social robots to assess frailty in older adults 

      Civit Bertran, Aniol; Andriella, Antonio; Barrué Subirana, Cristian; Antonio, Maite; Boqué, Concepción; Alenyà Ribas, Guillem (2024)
      Comunicació de congrés
      Accés obert
      Frailty is a crucial indicator in determining the well-being of older adults in terms of their health. With the growing number of elderly people, the demand for geriatricians is increasing, which means that they have less ...

    • Adaptive human-robot collaboration: evolutionary learning of action costs using an action outcome simulator 

      Izquierdo Badiola, Silvia; Alenyà Ribas, Guillem; Rizzo, Carlos (2023)
      Text en actes de congrés
      Accés obert
      One of the main challenges for successful human- robot collaborative applications lies in adapting the plan to the human agent’s changing state and preferences. A promising solution is to bridge the gap between agent ...

    • Heteroscedastic Gaussian processes and random features: scalable motion primitives with guarantees 

      Caldarelli, Edoardo; Chatalic, Antoine; Colomé Figueras, Adrià; Rosasco, Lorenzo; Torras, Carme (Proceedings of Machine Learning Research (PMLR), 2023)
      Text en actes de congrés
      Accés obert
      Heteroscedastic Gaussian processes (HGPs) are kernel-based, non-parametric models that can be used to infer nonlinear functions with time-varying noise. In robotics, they can be employed for learning from demonstration as ...

    • Morse cell decomposition and parametrization of surfaces from point clouds 

      Alberich Carramiñana, Maria; Amorós Torrent, Jaume; Coltraro, Franco; Torras, Carme; Verdaguer López, Miquel (Publicacions de la Universitat Jaume I, 2022)
      Text en actes de congrés
      Accés obert
      An algorithm for the reconstruction of a surface from a point sample is presented. It proceeds directly from the point-cloud to obtain a cellular decomposition of the surface derived from a Morse function. No intermediate ...

    • Quadratic dynamic matrix control for fast cloth manipulation 

      Caldarelli, Edoardo; Colomé Figueras, Adrià; Ocampo-Martínez, Carlos; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Robotic cloth manipulation is an increasingly relevant area of research, challenging classic control algorithms due to the deformable nature of cloth. While it is possible to apply linear model predictive control to make ...

    • Teaching a robot where doors and drawers are and how to handle them 

      Cupec, Robert; Vidovic, Ivan; Šimundic, Valentin; Pejic, P.; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (2023)
      Text en actes de congrés
      Accés obert
      We address the problem of teaching a service robot to detect doors and drawers in indoor environments. We propose a robust and accurate method in which a human demonstrates to the robot how to open doors and drawers that ...

    • Reconstruction of sampled surfaces with boundary via Morse theory 

      Coltraro, Franco; Amorós Torrent, Jaume; Alberich Carramiñana, Maria; Torras, Carme (European Association for Computer Graphics (Eurographics), 2023)
      Text en actes de congrés
      Accés obert
      We study the perception problem for garments (e.g. a pair of pants) using tools from computational topology: the identification of their geometry and position from point-cloud samples, as obtained e.g. with 3D scanners. ...

    • Robust wind turbine blade segmentation from RGB images in the wild 

      Pérez i Gonzalo, Raül; Espersen, Andreas; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      With the relentless growth of the wind industry, there is an imperious need to design automatic data-driven solutions for wind turbine maintenance. As structural health monitoring mainly relies on visual inspections, the ...

    • Structured 3D features for reconstructing controllable avatars 

      Corona Puyane, Enric; Zanfir, Mihai; Alldieck, Thiemo; Gabriel Bazavan, Eduard; Zanfir, Andrei; Sminchisescu, Cristian (2023)
      Comunicació de congrés
      Accés obert
      We introduce Structured 3D Features, a model based on a novel implicit 3D representation that pools pixel-aligned image features onto dense 3D points sampled from a parametric, statistical human mesh surface. The 3D points ...

    • On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis 

      Ordoñez Apraez, Daniel Felipe; Martín Muñoz, Mario; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (RSS Foundation, 2023)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      We present a comprehensive study on discrete morphological symmetries of dynamical systems, which are commonly observed in biological and artificial locomoting systems, such as legged, swimming, and flying animals/robots/virtual ...

    • Leveraging triplet loss for unsupervised action segmentation 

      Bueno Benito, Elena Belén; Tura Vecino, Biel; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      In this paper, we propose a novel fully unsupervised framework that learns action representations suitable for the action segmentation task from the single input video itself, without requiring any training data. Our method ...