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SCALESPACE
2009
Springer
15 years 4 months ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
ECCV
2010
Springer
15 years 5 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
CVPR
2008
IEEE
16 years 1 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...
TIP
2010
129views more  TIP 2010»
14 years 6 months ago
Image Segmentation by MAP-ML Estimations
Abstract--Image segmentation plays an important role in computer vision and image analysis. In this paper, image segmentation is formulated as a labeling problem under a probabilit...
Shifeng Chen, Liangliang Cao, Yueming Wang, Jianzh...
ECCV
2008
Springer
16 years 4 months ago
Generative Image Segmentation Using Random Walks with Restart
We consider the problem of multi-label, supervised image segmentation when an initial labeling of some pixels is given. In this paper, we propose a new generative image segmentatio...
Tae Hoon Kim (Seoul National University), Kyoung M...