Now showing items 1-4 of 4

    • Deep Learning for Computer Graphics and Geometry Processing 

      Bronstein, Michael; Guibas, Leonidas; Kokkinos, Iasonas; Litany, Or; Mitra, Niloy; Monti, Federico; Rodolà, Emanuele (The Eurographics Association, 2019)
      In computer graphics and geometry processing, many traditional problems are now becoming increasingly handled by data-driven methods. In an increasing variety of problem settings, deep networks are state-of-the-art, beating ...
    • Discovering Structured Variations Via Template Matching 

      Ceylan, Duygu; Dang, Minh; Mitra, Niloy J.; Neubert, Boris; Pauly, Mark (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Understanding patterns of variation from raw measurement data remains a central goal of shape analysis. Such an understanding reveals which elements are repeated, or how elements can be derived as structured variations ...
    • POP: Full Parametric model Estimation for Occluded People 

      Marin, Riccardo; Melzi, Simone; Mitra, Niloy J.; Castellani, Umberto (The Eurographics Association, 2019)
      In the last decades, we have witnessed advances in both hardware and associated algorithms resulting in unprecedented access to volumes of 2D and, more recently, 3D data capturing human movement. We are no longer satisfied ...
    • Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories 

      Mura, Claudio; Pajarola, Renato; Schindler, Konrad; Mitra, Niloy (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergency management, virtual property showcasing and interior design. While ...