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List of publications


Peter Carbonetto, Gyuri Dorko, Cordelia Schmid, Hendrik Kuck, and Nando de Freitas. Learning to recognize objects with little supervision. International Journal of Computer Vision., 2006. pdf


Gyuri Dorkó. Selection of Discriminative Regions and Local Descriptors for Generic Object Class Recognition. PhD thesis from Institut National Polytechnique de Grenoble, France pdf


Caroline Pantofaru, Gyuri Dorkó, Cordelia Schmid, and Martial Hebert. Combining regions and patches for object class localization. Beyond Patches, Workshop in conjunction with CVPR - 2006  pdf


Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, and Nando de Freitas. A semi-supervised learning approach to object recognition with spatial integration of local features and sementation cues . Towards category-level object recognition, Springer - 2006


Gyuri Dorko and Cordelia Schmid. Maximally stable local description for scale selection. In Proceedings of the 9th European Conference on Computer Vision, Graz, Austria, 2006.  pdf


Gyuri Dorko and C. Schmid. Object class recognition using discriminative local features. Computer Vision and Image Understanding, Submitted, 2006.


Diane Larlus, Gyuri Dorko, and Frederic Jurie. Creation de vocabulaires visuels efficaces pour la categorisation d’images. In Reconnaissance des Formes et Intelligence Artificielle, 2006.  pdf


Gyuri Dorko and C. Schmid. The 2005 pascal visual object classes challenge - Section INRIA - Dorko. In F. d’Alche Buc, I. Dagan, and J. Quinonero, editors, Selected Proceedings of the first PASCAL Challenges Workshop. LNAI, Springer, 2006. pdf


Frederic Jurie, Gyuri Dorko, Diane Larlus, and Bill Triggs. The 2005 pascal visual object classes challenge - Section INRIA-Jurie. In F. d’Alche Buc, I. Dagan, and J. Quinonero, editors, Selected Proceedings of the first PASCAL Challenges Workshop. LNAI, Springer, 2006. pdf


Gyuri Dorko and Cordelia Schmid. Object class recognition using discriminative local features. Rapport de recherche RR-5497, INRIA - Rhone-Alpes, February 2005. pdf


Cordelia Schmid, Gyuri Dorko, Svetlana Lazebnik, Krystian Mikolajczyk, and Jean Ponce. Pattern recognition with local invariant features. In C.H. Chen and P.S.P Wang, editors, Handbook of Pattern Recognition and Computer Vision. World Scientific, third edition, 2005.

Gyuri Dorko and Cordelia Schmid. Feature selection for object class detection. In Workshop on Learning, Snowbird, Utah, 2003.


Gyuri Dorko and Cordelia Schmid. Selection of scale-invariant parts for object class recognition. In International Conference on Computer Vision, volume 1, pages 634–640, 2003. pdf


Barbara Caputo, Gyuri Dorko, and Heinrich Niemann. An ultrametric approach to object recognition. In G. Greiner, H. Niemann, T. Ertl, B. Girod, and H.-P. Seidel, editors, Vision, Modeling, and Visualization, 2002.

Barbara Caputo, Gyuri Dorko, and Heinrich Niemann. Combining color and shape information for appearance-based recognition using kernel gibbs distributions. In International Conference on Pattern Recognition, Support Vector Machines Workshop, 2002.

Barbara Caputo and Gyuri Dorko. How to combine color and shape information for 3d object recognition: kernels do the trick. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems, 2002.  pdf


Gyuri Dorko, Dietrich Paulus, and Ulrike Ahlrichs. Color segmentation for scene exploration. In Workshop Farbbildverarbeitung, 2000. pdf


Gyuri Dorko and Zoltan Ladanyi. Signature verification on the basis of dynamic attributes. Presented at the National Conference of Student’s Scholarly Circles (in Hungarian language), 1999.
by Gyuri Dorko last modified 2007-09-28 21:14