• Back to MLP: a simple baseline for human motion prediction 

      Guo, Wen; Du, Yuming; Shen, Xi; Lepetit, Vincent; Alameda-Pineda, Xavier; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Texto en actas de congreso
      Acceso abierto
      This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences. State-of-the-art approaches provide good results, however, they rely on deep ...
    • Combining geometric and appearance priors for robust homography estimation 

      Serradell, Eduard; Özuysa, Mustafa; Lepetit, Vincent; Fua, Pascal; Moreno-Noguer, Francesc (Springer, 2010)
      Texto en actas de congreso
      Acceso restringido por política de la editorial
      Abstract. The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of ...
    • 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)
      Texto en actas de congreso
      Acceso abierto
      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 ...
    • Simultaneous completion and spatiotemporal grouping of corrupted motion tracks 

      Agudo Martínez, Antonio; Lepetit, Vincent; Moreno-Noguer, Francesc (Springer Nature, 2021-07-19)
      Artículo
      Acceso abierto
      Given an unordered list of 2D or 3D point trajectories corrupted by noise and partial observations, in this paper we introduce a framework to simultaneously recover the incomplete motion tracks and group the points into ...