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Star Shape Prior for Graph-Cut Image Segmentation

Computer Vision – ECCV 2008, p.454-467

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Efficient Graph Cut Optimization for Full CRFs with Quantized Edges

IEEE transactions on pattern analysis and machine intelligence, 2020-04, Vol.42 (4), p.1005-1012

Veksler, Olga

2020

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Sparse Non-Local CRF With Applications

IEEE transactions on pattern analysis and machine intelligence, 2024-10, Vol.PP, p.1-15

2024

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Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2024-05, Vol.46 (5), p.3923-3937

2024

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Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.7360-7369

Veksler, Olga

2023

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A Comparative Study of Energy Minimization Methods for Markov Random Fields

Computer Vision – ECCV 2006, 2006, p.16-29

2006

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Multi-label Moves for MRFs with Truncated Convex Priors

International journal of computer vision, 2012-05, Vol.98 (1), p.1-14

Veksler, Olga

2012

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GrabCut in One Cut

2013 IEEE International Conference on Computer Vision, 2013, p.1769-1776

2013

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Submodularization for Binary Pairwise Energies

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.1154-1161

2014

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Sparse Non-local CRF

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.4483-4493

2022

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Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Computer Vision - ECCV 2020, 2020, Vol.12374, p.348-365

2020

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Convexity Shape Prior for Binary Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2017-02, Vol.39 (2), p.258-271

2017

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Fast approximate energy minimization via graph cuts

IEEE transactions on pattern analysis and machine intelligence, 2001-11, Vol.23 (11), p.1222-1239

2001

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A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

IEEE transactions on pattern analysis and machine intelligence, 2008-06, Vol.30 (6), p.1068-1080

2008

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Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

IEEE transactions on medical imaging, 2013-10, Vol.32 (10), p.1804-1818

2013

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Efficient parallel optimization for potts energy with hierarchical fusion

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.887-895

Veksler, Olga

2015

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Stereo correspondence by dynamic programming on a tree

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, Vol.2, p.384-390 vol. 2

Veksler, O.

2005

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Superpixels and Supervoxels in an Energy Optimization Framework

Computer Vision – ECCV 2010, p.211-224

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Stereo correspondence with compact windows via minimum ratio cycle

IEEE transactions on pattern analysis and machine intelligence, 2002-12, Vol.24 (12), p.1654-1660

Veksler, O.

2002

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Minimizing Energies with Hierarchical Costs

International journal of computer vision, 2012-10, Vol.100 (1), p.38-58

2012

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Graph Cut Based Optimization for MRFs with Truncated Convex Priors

2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, p.1-8

Veksler, O.

2007

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Local Submodularization for Binary Pairwise Energies

IEEE transactions on pattern analysis and machine intelligence, 2017-10, Vol.39 (10), p.1985-1999

2017

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Semiautomatic segmentation with compact shape prior

Image and vision computing, 2009, Vol.27 (1), p.206-219

2009

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Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis

Computer vision and image understanding, 2016-02, Vol.143, p.52-53

2016

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Hedgehog Shape Priors for Multi-Object Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.2434-2442

2016

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Star Shape Prior for Graph-Cut Image Segmentation

Efficient Graph Cut Optimization for Full CRFs with Quantized Edges

Sparse Non-Local CRF With Applications

Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation

Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection

A Comparative Study of Energy Minimization Methods for Markov Random Fields

Multi-label Moves for MRFs with Truncated Convex Priors

GrabCut in One Cut

Submodularization for Binary Pairwise Energies

Sparse Non-local CRF

Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Convexity Shape Prior for Binary Segmentation

Fast approximate energy minimization via graph cuts

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

Efficient parallel optimization for potts energy with hierarchical fusion

Stereo correspondence by dynamic programming on a tree

Superpixels and Supervoxels in an Energy Optimization Framework

Stereo correspondence with compact windows via minimum ratio cycle

Minimizing Energies with Hierarchical Costs

Graph Cut Based Optimization for MRFs with Truncated Convex Priors

Local Submodularization for Binary Pairwise Energies

Semiautomatic segmentation with compact shape prior

Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis

Hedgehog Shape Priors for Multi-Object Segmentation

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