Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
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Published By Springer Berlin Heidelberg

9783642403941, 9783642403958

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Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_20 ◽

2013 ◽

pp. 266-279 ◽

Cited By ~ 8

Author(s):

Bjoern Andres ◽

Julian Yarkony ◽

B. S. Manjunath ◽

Steffen Kirchhoff ◽

Engin Turetken ◽

...

Keyword(s):

Adjacency Graphs

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Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_11 ◽

2013 ◽

pp. 137-150 ◽

Cited By ~ 2

Author(s):

Boris Yangel ◽

Dmitry Vetrov

Keyword(s):

Image Segmentation ◽

Weakly Labeled Data

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A Convex Formulation for Global Histogram Based Binary Segmentation

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_25 ◽

2013 ◽

pp. 335-349 ◽

Cited By ~ 5

Author(s):

Romain Yıldızoğlu ◽

Jean-François Aujol ◽

Nicolas Papadakis

Keyword(s):

Binary Segmentation ◽

Convex Formulation

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A Co-occurrence Prior for Continuous Multi-label Optimization

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_16 ◽

2013 ◽

pp. 209-222 ◽

Cited By ~ 3

Author(s):

Mohamed Souiai ◽

Evgeny Strekalovskiy ◽

Claudia Nieuwenhuis ◽

Daniel Cremers

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A Variational Method for Expanding the Bit-Depth of Low Contrast Image

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_5 ◽

2013 ◽

pp. 54-65

Author(s):

Motong Qiao ◽

Wei Wang ◽

Michael K. Ng

Keyword(s):

Variational Method ◽

Low Contrast ◽

Contrast Image

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Variational Shape from Light Field

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_6 ◽

2013 ◽

pp. 66-79 ◽

Cited By ~ 28

Author(s):

Stefan Heber ◽

Rene Ranftl ◽

Thomas Pock

Keyword(s):

Light Field

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A Continuous Shape Prior for MRF-Based Segmentation

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_26 ◽

2013 ◽

pp. 350-361

Author(s):

Dmitrij Schlesinger

Keyword(s):

Shape Prior

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Object Segmentation by Shape Matching with Wasserstein Modes

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_10 ◽

2013 ◽

pp. 123-136 ◽

Cited By ~ 6

Author(s):

Bernhard Schmitzer ◽

Christoph Schnörr

Keyword(s):

Shape Matching ◽

Object Segmentation

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Analysis of Bayesian Blind Deconvolution

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_4 ◽

2013 ◽

pp. 40-53 ◽

Cited By ~ 14

Author(s):

David Wipf ◽

Haichao Zhang

Keyword(s):

Blind Deconvolution

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Simultaneous Fusion Moves for 3D-Label Stereo

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-642-40395-8_7 ◽

2013 ◽

pp. 80-93

Author(s):

Johannes Ulén ◽

Carl Olsson

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Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs

Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data

A Convex Formulation for Global Histogram Based Binary Segmentation

A Co-occurrence Prior for Continuous Multi-label Optimization

A Variational Method for Expanding the Bit-Depth of Low Contrast Image

Variational Shape from Light Field

A Continuous Shape Prior for MRF-Based Segmentation

Object Segmentation by Shape Matching with Wasserstein Modes

Analysis of Bayesian Blind Deconvolution

Simultaneous Fusion Moves for 3D-Label Stereo

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
Latest Publications