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Antonio Lopez and 7 others. 2017. Training my car to see using virtual worlds. IMAVIS, 38, 102–118.
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Katerine Diaz, Konstantia Georgouli, Anastasios Koidis and Jesus Martinez del Rincon. 2017. Incremental model learning for spectroscopy-based food analysis. CILS, 167, 123–131.
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Katerine Diaz, Jesus Martinez del Rincon and Aura Hernandez-Sabate. 2017. Decremental generalized discriminative common vectors applied to images classification. KBS, 131, 46–57.
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Katerine Diaz, Francesc J. Ferri and Aura Hernandez-Sabate. 2018. An overview of incremental feature extraction methods based on linear subspaces. KBS, 145, 219–235.
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Katerine Diaz, Jesus Martinez del Rincon, Aura Hernandez-Sabate and Debora Gil. 2018. Continuous head pose estimation using manifold subspace embedding and multivariate regression. ACCESS, 6, 18325–18334.
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Joan Serrat, Felipe Lumbreras and Idoia Ruiz. 2018. Learning to measure for preshipment garment sizing. MEASURE, 130, 327–339.
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Oscar Argudo, Marc Comino, Antonio Chica, Carlos Andujar and Felipe Lumbreras. 2018. Segmentation of aerial images for plausible detail synthesis. CG, 71, 23–34.
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Jiaolong Xu, Liang Xiao and Antonio Lopez. 2019. Self-supervised Domain Adaptation for Computer Vision Tasks. ACCESS, 7, 156694–156706.
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Cesar de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray and Antonio Lopez. 2019. Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. IJCV, 128, 1505–1536.
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Daniel Hernandez and 8 others. 2019. Slanted Stixels: A way to represent steep streets. IJCV, 127, 1643–1658.
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