Syndicate content

Biblio

Export 177 results:
Sort by: Author [ Title  (Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
V
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.
Haro, G., Bertalmío M., & Caselles V. (2006).  Visual acuity in day for night. International journal of computer vision. 69, 109–117.
Flores, P., Lecumberry F., Arias P., & Pardo A. (2006).  Video analysis platform. Congreso Argentino de Ciencias de la Computación. CACIC.
Caselles, V. (2013).  Variational models for image inpainting. Proceedings of the European Congres of Mathematics, Krakow.
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.
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., & 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.
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.
U
Alter, F., & Caselles V. (2009).  Uniqueness of the Cheeger set of a convex body. Nonlinear Analysis: Theory, Methods & Applications. 70, 32–44.
Ballester, C., Caselles V., Rougé B., & Verdera J. (2003).  Une méthode géométrique de fusion pour des images P+XS. Société Française de Photogrammétrie et de Télédétection. 169, 53-64 (Choosed one of the 5 best algorithms of P+XS image fusion by the French Spatial Agency CNES) .
T