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Papadakis, N., Bugeau A., & Caselles V. (2012).   Image editing with spatiograms transfer. IEEE Transactions on Image Processing . 21(5), 2513 -- 2522,.
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Meinhardt, E., Zacur E., Frangi A. F., & Caselles V. (2009).  3d edge detection by selection of level surface patches. Journal of Mathematical Imaging and Vision. 34, 1–16.
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.
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Duchateau, N., Craene D. M., Sitges M., & Caselles V. (2013).  Adaptation of multiscale function extension to inexact matching. Application to the mapping of individuals to a learnt manifold. GSI2013 - Geometric Science of Information.
Fedorov, V., & Ballester C. (2018).  An Affine Invariant Patch Similarity. IPOL Journal. 8, 490-513.
Ballester, C., Caselles V., & Gonzalez M. (1996).  Affine invariant segmentation by variational method. SIAM Journal on Applied Mathematics. 56(1), 294–325.
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
Ballester, C., & Gonzalez M. (1998).  Affine invariant texture segmentation and shape from texture by variational methods. Journal of Mathematical Imaging and Vision. 9(2), 141–171.
Fedorov, V., & Ballester C. (2017).  Affine Non-local Means Image Denoising. IEEE Transactions on Image Processing. 26(5), 2137-2148.
Gamonal, F. P., Ballester C., Haro G., Meinhardt E., & P.Palomares R. (2019).  An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation. IPOL Journal. 9, pp. 94–123.
Calvo, J. (2013).  Analysis of a class of degenerate parabolic equations with saturation mechanisms. Arxiv preprint 1312.4034.
Arias, P., Caselles V., & Facciolo G. (2012).  Analysis of a Variational Framework for Exemplar-Based Image Inpainting. Multiscale Model. Simul.. 10(2), 473-514.
Ferradans, S., Provenzi E., Bertalmío M., & Caselles V. (2011).  An analysis of visual adaptation and contrast perception for a fast tone mapping operator. IEEE Transactions on Pattern Analysis and Machine Intelligence. To appear,
Caselles, V., Facciolo G., & Meinhardt E. (2009).  Anisotropic Cheeger Sets and Applications. SIAM Journal on Imaging Sciences. 2(4), 1211-1254.
Vitoria, P., & Ballester C. (2019).  Automatic Flare Spot Artifacts Detection and Removal in Photographs. Journal of Mathematical Imaging and Vision. 61(4), pp. 515–533.
Slizovskaia, O., Gómez E., & Haro G. (2016).  Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies. Sound and Music Computing.
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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.
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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 .
Bugeau, A., Bertalmío M., Caselles V., & Sapiro G. (2010).  A Comprehensive Framework for Image Inpainting. IEEE Transactions on Image Processing. 19(10), 2634-2645.
Oliver, M., Haro G., Dimiccoli M., Mazin B., & Ballester C. (2016).  A Computational Model for Amodal Completion. Journal of Mathematical Imaging and Vision. 56(3), pp 511-534.
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.
Caselles, V., Meinhardt E., & Monasse P. (2008).  Constructing the tree of shapes of an image by fusion of the trees of connected components of upper and lower level sets. Positivity. 12, 55–73.