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PAMI
2008
225views more  PAMI 2008»
15 years 5 months ago
Inferring Segmented Dense Motion Layers Using 5D Tensor Voting
We present a novel local spatiotemporal approach to produce motion segmentation and dense temporal trajectories from an image sequence. A common representation of image sequences i...
Changki Min, Gérard G. Medioni
CVPR
2009
IEEE
1298views Computer Vision» more  CVPR 2009»
17 years 18 days 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
164
Voted
ECCV
2008
Springer
16 years 7 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
ICIP
2008
IEEE
16 years 7 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
CVPR
1997
IEEE
15 years 9 months ago
Area and Length Minimizing Flows for Shape Segmentation
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Kaleem Siddiqi, Steven W. Zucker, Yves Béru...