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CVPR
2010
IEEE
14 years 6 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
CVPR
2009
IEEE
1298views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Video Object Segmentation by Hypergraph Cut
In this paper, we present a new framework of video object segmentation, in which we formulate the task of extracting prominent objects from a scene as the problem of hypergraph ...
Dimitris N. Metaxas, Qingshan Liu, Yuchi Huang
CVPR
2005
IEEE
15 years 2 days ago
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...
David Tolliver, Gary L. Miller, Robert T. Collins
MFCS
2004
Springer
14 years 3 months ago
Generating Paths and Cuts in Multi-pole (Di)graphs
Let G = (V, E) be a (directed) graph with vertex set V and edge (arc) set E. Given a set P of (source-sink) pairs of vertices of G, an important problem that arises in the computat...
Endre Boros, Khaled M. Elbassioni, Vladimir Gurvic...
CVPR
1998
IEEE
15 years 2 days ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih