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Bertalmío M, Levine S.  2013.  A Variational Approach for the Fusion of Exposure Bracketed Pairs. IEEE Transactions on Image Processing. fusionOfExposure.pdf (24.67 MB)
Galdran A, Vazquez-Corral J, Pardo D, Bertalmío M.  2014.  A variational Framework for Single Image Dehazing. European Conference on Computer Vision Workshops . Galdranetaleccvw.pdf (9.65 MB)
Cyriac P, Batard T, Bertalmío M.  2013.  A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico. TM_PSIVT2013.pdf (5.87 MB)
Cyriac P, Canham T, Kane D, Bertalmío M.  2020.  Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies. Multimedia Tools and Applications. VisionModelsHDR.pdf (2.64 MB)
Zamir SWaqas, Vazquez-Corral J, Bertalmío M.  2019.  Vision models for wide color gamut imaging in cinema. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). wideGamut.pdf (34.11 MB)
Gomez-Villa A, Martín A, Vazquez-Corral J, Bertalmío M, Malo J.  2020.  Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. Vision Research. visualIllusions.pdf (3.73 MB)
Bertalmío M, Calatroni L, Franceschi V, Franceschiello B, Gomez-Villa A, Prandi D.  2020.  Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology. Cowan.pdf (1.31 MB)
Gomez-Villa A, Bertalmío M, Malo J.  2020.  Visual information flow in Wilson-Cowan networks. Journal of Neurophysiology. VisualInformation.pdf (3.12 MB)