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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 1 days ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
ICCV
2009
IEEE
16 years 10 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
ICCV
2009
IEEE
16 years 10 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ICCV
2009
IEEE
16 years 10 months ago
FLoSS: Facility Location for Subspace Segmentation
Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from...
Nevena Lazic, Inmar Givoni, Brendan Frey
ICCV
2009
IEEE
16 years 8 months ago
The Swap and Expansion Moves Revisited and Fused
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Ido Leichter