Ara es mostren els items 12-15 de 15

    • Precision and power grip detection in egocentric hand-object Interaction using machine learning 

      Huapaya Sierra, Rodrigo Arian (Universitat Politècnica de Catalunya, 2023-06-26)
      Projecte Final de Màster Oficial
      Accés obert
      This project, was carried out in Yverdon-les-Bains, Switzerland, between the University of Applied Sciences and Arts Western Switzerland (HEIG-VD / HES-SO) and the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, ...
    • Scene understanding using deep learning 

      Husain, Syed Farzad; Dellen, Babette; Torras, Carme (Elsevier, 2017)
      Capítol de llibre
      Accés obert
      Automation based on artificial intelligence becomes necessary when agents such as robots are deployed to perform complex tasks. Detailed representation of a scene makes robots better aware of their surroundings, thereby ...
    • Semantic segmentation priors for object discovery 

      Martín García, Germán; Husain, Syed Farzad; Schulz, Hannes; Frintrop, Simone; Torras, Carme; Behnke, Sven (IEEE Press, 2016)
      Text en actes de congrés
      Accés obert
      Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ...
    • Understanding the impact of on-chip communication on DNN accelerator performance 

      Guirado, Robert; Kwon, Hyoukjun; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi; Krishna, Tushar (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Deep Neural Networks have flourished at an unprecedented pace in recent years. They have achieved outstanding accuracy in fields such as computer vision, natural language processing, medicine or economics. Specifically, ...