Recent Submissions

  • Understanding event boundaries for egocentric activity recognition from photo-streams 

    Cartas Ayala, Alejandro; Talavera, Estefanía; Radeva, Petia; Dimiccoli, Mariella (Springer Nature, 2021)
    Conference report
    Open Access
    The recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity ...
  • Total estimation from RGB video: on-line camera self-calibration, non-rigid shape and motion 

    Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper we present a sequential approach to jointly retrieve camera auto-calibration, camera pose and the 3D reconstruction of a non-rigid object from an uncalibrated RGB image sequence, without assuming any prior ...
  • Modeling long-term interactions to enhance action recognition 

    Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper, we propose a new approach to understand actions in egocentric videos that exploits the semantics of object interactions at both frame and temporal levels. At the frame level, we use a region-based approach ...
  • 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)
    Conference report
    Open Access
    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 ...
  • STRIPS action discovery 

    Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (2020)
    Conference report
    Open Access
    The problem of specifying high-level knowledge bases for planning becomes a hard task in realistic environments. This knowledge is usually handcrafted and is hard to keep updated, even for system experts. Recent approaches ...
  • Contextual policy search for micro-data robot motion learning through covariate Gaussian process latent variable models 

    Delgado Guerrero, Juan Antonio; Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    In the next few years, the amount and variety of context-aware robotic manipulator applications is expected to increase significantly, especially in household environments. In such spaces, thanks to programming by ...
  • Leveraging multiple environments for learning and decision making: a dismantling use case 

    Suárez Hernández, Alejandro; Gaugry, Thierry; Segovia Aguas, Javier; Bernardin, Antonin; Torras, Carme; Marchal, Maud; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    Learning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly and potentially destructive robot executions. ...
  • Variable impedance control in cartesian latent space while avoiding obstacles in null space 

    Parent Alonso, David; Colomé Figueras, Adrià; Torras, Carme (2020)
    Conference report
    Open Access
    Human-robot interaction is one of the keys of assistive robots. Robots are expected to be compliant with people but at the same time correctly perform the tasks. In such applications, Cartesian impedance control is preferred ...
  • Interaction identification through tactile sensing during cloth manipulation using a 3-axis touch sensor 

    Geer Couste, Idril-tadzio; Maceira Duch, Marc; Borràs Sol, Júlia; Torras, Carme; Alenyà Ribas, Guillem (2020)
    Conference report
    Open Access
    Tactile feedback during cloth manipulation could be crucial in addressing the huge challenges involved in closing the loop during execution, complementing vision. However, up to our knowledge, tactile sensing has only been ...
  • 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 ...
  • Differentiable data augmentation with Kornia 

    Shi, Jian; Riba Pi, Edgar; Mishkin, Dmytro; Moreno-Noguer, Francesc; Nicolaou, Anguelos (2020)
    Conference report
    Open Access
    In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors. This module leverages differentiable computer vision solutions from Kornia, ...
  • 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 ...

View more