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» Formulating context-dependent similarity functions
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CVPR
2010
IEEE
15 years 2 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»
15 years 1 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 5 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
16 years 7 days 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
16 years 2 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