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PAMI
2010
417views more  PAMI 2010»
13 years 9 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ICCV
2009
IEEE
15 years 3 months ago
Boundary Ownership by Lifting to 2.5D
This paper addresses the “boundary ownership” problem, also known as the figure/ground assignment problem. Estimating boundary ownerships is a key step in perceptual organiz...
Ido Leichter and Michael Lindenbaum
PARELEC
2006
IEEE
14 years 5 months ago
MPI and Non-MPI Simulations for Epitaxial Surface Growth
Usually, theories of surface growth are based on the study of global processes without taking in account the local behaviour of atoms. We have implemented two Montecarlo simulation...
Carmen B. Navarrete, Susana Holgado, Eloy Anguiano
CVPR
2009
IEEE
15 years 6 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
CVPR
2009
IEEE
15 years 6 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)