@InProceedings{SchirmerVelhLope:2021:SeGrAt,
               author = "Schirmer, Luiz and Velho, Luiz and Lopes, H{\'e}lio",
          affiliation = "PUC-Rio and IMPA and PUC-Rio",
                title = "Semantic graph attention networks and tensor decompositions for 
                         computer vision and computer graphics",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Neural Networks, Gaph Neural Networks, Human Pose Estimation.",
             abstract = "This thesis proposes new architectures for deep neural networks 
                         with attention enhancement and multilinear algebra methods to 
                         increase their performance. We also explore graph convolutions and 
                         their particularities. We focus here on the problems related to 
                         real-time human pose estimation. We explore different 
                         architectures to reduce computational complexity, and, as a 
                         result, we propose two novel neural network models for 2D and 3D 
                         pose estimation. We also introduce a new architecture for Graph 
                         attention networks called Semantic Graph Attention.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45E57FS",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45E57FS",
           targetfile = "WTD_Sibgrapi_2021 (4).pdf",
        urlaccessdate = "2024, Sep. 08"
}