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243
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ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
235
Voted
CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
232
Voted
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
196
Voted
ICCV
2009
IEEE
17 years 14 days ago
2009
IEEE
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
210
Voted
ICCV
2009
IEEE
17 years 14 days ago
2009
IEEE
Correspondence problems are of great importance in
computer vision. They appear as subtasks in many applications
such as object recognition, merging partial 3D reconstructions
a...