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» Formulating context-dependent similarity functions
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CVPR
2010
IEEE
14 years 9 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
TOG
2008
241views more  TOG 2008»
14 years 9 months ago
Single image dehazing
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminate...
Raanan Fattal
CVPR
2011
IEEE
14 years 1 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth

Publication
207views
15 years 8 months ago
Incorporating Higher-Order Cues in Image Colorization
We consider the colorization problem of grayscale images when some pixels, called scribbles, with initial colors are given. In this paper, we propose a new multi-layer graph model ...
Tae Hoon Kim (Seoul National University), Kyoung M...
MICCAI
2005
Springer
15 years 10 months ago
Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization
In this paper, we present a novel deformable registration algorithm for diffusion tensor MR images that enables explicit optimization of tensor reorientation. The optimization see...
Hui Zhang 0005, Paul A. Yushkevich, James C. Gee