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Book Chapter
Conference Paper
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).
Bertalmio, M., Sapiro G., Caselles V., & Ballester C. (2000).  Image inpainting. SIGGRAPH'00 Proceedings of the 27th annual conference on Computer graphics and interactive techniques. 417–424.
Lazcano, V., Garrido L., & Ballester C. (2018).  Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 5. pp. 588-595.
Oliver, M., Haro G., Fedorov V., & Ballester C. (2018).  L1 Patch-based Image Partitioning into Homogeneous Textured Regions. IEEE International Conference on Acoustics, Speech and Signal Processing.
Rezaeirowshan, B., Ballester C., & Haro G. (2016).  Monocular Depth Ordering using Perceptual Occlusion Cues. International Conference on Computer Vision and Applications, VISAPP 2016.
Andreu, F., Ballester C., Caselles V., & Mazón J. M. (1999).  A Nonlinear Parabolic Equation Arising in Image Processing. Multiresolution, Computer Vision and PDE's. Foundations of Computational Mathematics.
Vitoria, P., Fedorov V., & Ballester C. (2017).  Spatio-temporal tube segmentation through a video metrics-based patch similarity measure. Proceedings of the 19th Irish Machine Vision and Image Processing confence (IMVIP 2017), pp. 147-154.
Ballester, C., & Gonzalez M. (1995).  Texture discrimination by variational methods. Second European Conference on Image Processing, Proceedings pp. 251-306.
Ballester, C., & Gonzalez M. (1996).  Texture segmentation by variational methods. ICAOS'96 Images, Wavelets and PDE's. 219, 187–193.
Ballester, C., Caselles V., & Verdera J. (2003).  A variational model for disocclusion. Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003, pp. III-677-80 vol.2.. 3, III–677.
Ballester, C., Caselles V., Verdera J., Bertalmio M., & Sapiro G. (2001).  A variational model for filling-in gray level and color images. Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on. 1, 10–16.
Ballester, C., Caselles V., Rougé B., & Verdera J. (2003).  A Variational Model for P+XS Image Fusion. 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision.
Conference Proceedings
P.Palomares, R., Haro G., & Ballester C. (2017).  Joint large displacement scene flow and occlusion variational estimation. VISAPP: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Oliver, M., Raad L., Ballester C., & Haro G. (2018).  Motion Inpainting by an Image-Based Geodesic AMLE Method. Proceedings of the 2018 25th IEEE International Conference on Image Processing (ICIP).
Vitoria, P., Sintes J., & Ballester C. (2018).  Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks. accepted as an oral presentation in International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2019.
Oliver, M., P.Palomares R., Ballester C., & Haro G. (2017).  Spatio-temporal binary video inpainting via threshold dynamics. International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
Journal Article