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ECCV
2010
Springer
16 years 1 days ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
193
Voted
DAGM
2006
Springer
15 years 10 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
PDPTA
1996
15 years 8 months ago
Stereo Vision and 3D Reconstruction on a Distributed Memory System
An important research topic in image processing is stereo vision. The objective is to compute a 3-dimensional representation of some scenery from two 2-dimensional digital images....
N. H. L. Kuijpers, G. Paar, Johan J. Lukkien
CVPR
2011
IEEE
15 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto