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ECCV
2004
Springer
16 years 6 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
EUROGRAPHICS
2010
Eurographics
15 years 5 months ago
User Controllable Color Transfer
This paper presents an image editing framework where users use reference images to indicate desired color edits. In our approach, users specify pairs of strokes to indicate corres...
Xiaobo An and Fabio Pellacini
ICIP
2010
IEEE
15 years 1 months ago
A view-dependent adaptivity metric for real time mesh tessellation
Real-time tessellation methods offer the ability to upsample 3D surface meshes on the fly during rendering. This upsampling relies on 3 major steps. First, it requires a tessellat...
Tamy Boubekeur
ISMAR
2009
IEEE
15 years 11 months ago
Online environment model estimation for augmented reality
Augmented reality applications often rely on a detailed environment model to support features such as annotation and occlusion. Usually, such a model is constructed offline, whic...
Jonathan Ventura, Tobias Höllerer
CVPR
2012
IEEE
13 years 7 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....