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Biblio

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Book
Caselles, V., & Monasse P. (2010).  Geometric Description of Topographic Maps and Applications to Image Processing. Lecture Notes in Mathematics 1984, Book.
Bernot, M., Caselles V., & Morel J. M. (2009).  Optimal Transportation Networks. Models and Theory. Lecture Notes in Mathematics 1955, Book.
Book Chapter
Calderero, F., & Marques F. (2012).  Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion. Handbook of Research on Computational Intelligence for Engineering, Science, and Business.
application/pdf iconImage-Analysis-and-Understanding-Based-on-Information-Theoretical-Region-Merging-Approaches-for-Segmentation-and-Cooperative-Fusion.pdf
Caselles, V., Chambolle A., Cremers D., Novaga M., & Pock T. (2010).  An Introduction to Total Variation in image analysis. (Massimo Fornasier, Ed.).Theoretical Foundations and Numerical Methods for Sparse Recovery.
Sánchez, O., Calvo J., Ibañez C., Guerrero I., & Soler J. (2015).  Modeling Hedgehog signaling through flux-saturated mechanisms. Hedgehog signaling protocols. 19-33.
Digne, J., Dimiccoli M., Sabater N., & Salembier P. (2015).  Neighborhood filters and the recovery of 3D information. Handbook of Mathematical Methods in Imaging.
Calvo, J., Soler J., & Verbeni M. (2014).  A non-linear flux-limited model for the transport of morphogens. (Delitala, M., Ajmone Marsan, J., Ed.).Managing Complexity, reducing perplexity. Modeling biological systems. 67, 55-64.
P.Palomares, R., Haro G., & Ballester C. (2015).  A Rotation-Invariant Regularization Term for Optical Flow Related Problems. Computer Vision ACCV 2014. 9007, pp 304-319.
Conference Paper
Haro, G., & Pardàs M. (2009).  3D shape from multi-camera views by error projection minimization. 10th Workshop on Image Analysis for Multimedia Interactive Services} organization={IEEE.
Ballester, C., Caselles V., & Gonzalez M. (1993).  Affine invariant segmentation by variational methods. Workshop on Image and Multidimensional signal Processing IEEE Signal Processing Society.
Ballester, C., Caselles V., & Gonzalez M. (1994).  Affine invariant segmentation by variational methods. RFIA '94. Neuvième Congrès Reconnaissance des Formes et Intelligence Artificielle (SPECIAL MENTION).
Fedorov, V., Arias P., Facciolo G., & Ballester C. (2016).  Affine Invariant Self-Similarity for Exemplar-Based Inpainting. International Conference on Computer Vision and Applications, VISAPP 2016.
application/pdf iconPaperCompressed_2016Inpainting.pdf
Gallego, J., Pardàs M., & Haro G. (2009).  Bayesian foreground segmentation and tracking using pixel-wise background model and region based foreground model. Image Processing (ICIP), 2009 16th IEEE International Conference on. 3205–3208.
Caselles, V., Chambolle A., Moll S., & Novaga M. (2008).  A characterization of convex calibrable sets in with respect to anisotropic norms. Annales de l'Institut Henri Poincare (C) Non Linear Analysis. 25, 803–832.
Bugeau, A., Gargallo P., DHondt O., Hervieu A., Papadakis N., & Caselles V. (2010).  Coherent Background Video Inpainting through Kalman Smoothing along Trajectories.. Vision, Modeling, and Visualization .
Arias, P., Randall G., & Sapiro G. (2007).  Connecting the out-of-sample and pre-image problems in kernel methods. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
Cardelino, J., Caselles V., Bertalmío M., & Randall G. (2009).  A contrario hierarchical image segmentation. International Conference on Image Processing ICIP .
Calderero, F., & Moreno P. (2013).  Evaluation of sharpness measures and proposal of a stop criterion for reverse diffusion in the context of image deblurring. VISAPP 2013.
application/pdf iconcamera_ready.pdf
Facciolo, G., Arias P., Sapiro G., & Caselles V. (2009).  Exemplar-Based Interpolation of Sparsely Sampled Images. 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR.
Sadek, R., Ballester C., Garrido L., Meinhardt E., & Caselles V. (2012).  Frame interpolation with occlusion detection using a time coherent segmentation.. International Conference on Computer Vision Theory and Applications (VISAPP 2012).
application/pdf iconVISAPP_2012_133_CR.pdf
Calderero, F., & Marques F. (2008).  General region merging approaches based on information theory statistical measures. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on. 3016 -3019.
Calderero, F., & Marques F. (2008).  General region merging approaches based on information theory statistical measures. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on. 3016 -3019.
Facciolo, G., & Caselles V. (2009).  Geodesic neighborhoods for piecewise affine interpolation of sparse data. International Conference on Image Processing ICIP .
Calderero, F., & Marques F. (2009).  Hierarchical fusion of color and depth information at partition level by cooperative region merging. Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 973 -976.
Calderero, F., Marques F., Marcello J., & Eugenio F. (2009).  Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009. 4, IV-232 -IV-235.