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] Year Filters: First Letter Of Last Name is R [Clear All Filters]
. Generalized Lifting for Sparse Image Representation and Coding. . Universitat Politècnica de Catalunya (UPC); 2010.
. Graph Convolutional Neural Networks for 3D Data Analysis. . Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2023.
. Human body analysis using depth data. . Universitat Politècnica de Catalunya (UPC); 2013. 
(10.67 MB)
(10.67 MB). Learning to extract features for 2D-3D multimodal registration. . Universitat Politècnica de Catalunya (UPC); 2020. (14.22 MB)
(14.22 MB). Manifold Learning for Super Resolution. . [Hannover]: Leibniz Universität Hannover; 2017. (18.6 MB)
(18.6 MB). Manifold Learning for Super Resolution. . [Hannover]: Leibniz Universität Hannover; 2017. (18.6 MB)
(18.6 MB). Multi-view depth coding based on a region representation combining color and depth information. . Signal Theory and Communications (TSC). Universitat Politècnica de Catalunya (UPC); 2017. (15.24 MB)
(15.24 MB). Sports broadcasting and multiple object tracking with deep learning methods. . Signal Theory and Communications. 2021.
. On the Synergy between indexing and compression representations for video sequences. . Universitat Politècnica de Catalunya (UPC); 2006. (4.35 MB)
(4.35 MB). Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions. . Final Year Project, UPC; 2021. (3.67 MB)
(3.67 MB). Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019. (3.97 MB)
(3.97 MB). Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019. (3.97 MB)
(3.97 MB)