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Arias, P., Caselles V., & Sapiro G. (2009).  A variational framework for non-local image inpainting. 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition EMMCVPR.
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., Igual L., Rougé B., & Verdera J. (2006).  A Variational Model for P+XS Image Fusion . International Journal of Computer Vision. 69(1), 43-58.
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.
Caselles, V. (2013).  Variational models for image inpainting. Proceedings of the European Congres of Mathematics, Krakow.
Flores, P., Lecumberry F., Arias P., & Pardo A. (2006).  Video analysis platform. Congreso Argentino de Ciencias de la Computación. CACIC.
Haro, G., Bertalmío M., & Caselles V. (2006).  Visual acuity in day for night. International journal of computer vision. 69, 109–117.
Zinemanas, P., Arias P., Haro G., & Gómez E. (2017).  Visual music transcription of clarinet video recordings trained with audio-based labelled data. 2nd Int. Workshop con Computer Vision for Audio-Visual Media, in conjunction with ICCV.