Olga Veksler

Orcid: 0000-0002-9664-6601

Affiliations:
  • University of Western Ontario, Canada


According to our database1, Olga Veksler authored at least 70 papers between 1997 and 2024.

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Bibliography

2024
Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023
Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Sparse Non-local CRF.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Weakly Supervised Semantic Segmentation: From Box to Tag and Back.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Regularized Loss for Weakly Supervised Single Class Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Simulating CRF with CNN for CNN.
CoRR, 2019

2018
Location Augmentation for CNN.
CoRR, 2018

K-convexity Shape Priors for Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Regularization Weight for CRF Optimization.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Convexity Shape Prior for Binary Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Local Submodularization for Binary Pairwise Energies.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Multi-object Convexity Shape Prior for Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS).
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Double Expansion for Optimization of Multilabel Energies.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis.
Comput. Vis. Image Underst., 2016

A-expansion for multiple "hedgehog" shapes.
CoRR, 2016

Hedgehog Shape Priors for Multi-Object Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Joint Optimization of Segmentation and Color Clustering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient parallel optimization for potts energy with hierarchical fusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Convexity Shape Prior for Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Squared Curvature.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Submodularization for Binary Pairwise Energies.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification.
IEEE Trans. Medical Imaging, 2013

Efficient Regularization of Squared Curvature.
CoRR, 2013

Submodularization for Quadratic Pseudo-Boolean Optimization.
CoRR, 2013

GrabCut in One Cut.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Multi-label Moves for MRFs with Truncated Convex Priors.
Int. J. Comput. Vis., 2012

Minimizing Energies with Hierarchical Costs.
Int. J. Comput. Vis., 2012

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Dynamic Programming for Approximate Expansion Algorithm.
Proceedings of the Computer Vision - ECCV 2012, 2012

Fast Fusion Moves for Multi-model Estimation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Fast dynamic programming for labeling problems with ordering constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Improved Moves for Truncated Convex Models.
J. Mach. Learn. Res., 2011

Recursive MDL via graph cuts: Application to segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Interactive Segmentation with Super-Labels.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
Order-Preserving Moves for Graph-Cut-Based Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Generating Classic Mosaics with Graph Cuts.
Comput. Graph. Forum, 2010

Superpixels and Supervoxels in an Energy Optimization Framework.
Proceedings of the Computer Vision - ECCV 2010, 2010

Tiered scene labeling with dynamic programming.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Saliency Segmentation based on Learning and Graph Cut Refinement.
Proceedings of the British Machine Vision Conference, 2010

Object Class Segmentation Using Reliable Regions.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Semiautomatic segmentation with compact shape prior.
Image Vis. Comput., 2009

Animated Classic Mosaics from Video.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2008
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Star Shape Prior for Graph-Cut Image Segmentation.
Proceedings of the Computer Vision, 2008

Graph cut with ordering constraints on labels and its applications.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Parameter Selection for Graph Cut Based Image Segmentation.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
Simulating Classic Mosaics with Graph Cuts.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Graph Cut Based Optimization for MRFs with Truncated Convex Priors.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A Comparative Study of Energy Minimization Methods for Markov Random Fields.
Proceedings of the Computer Vision, 2006

Semiautomatic Segmentation with Compact Shapre Prior.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

Reducing Search Space for Stereo Correspondence with Graph Cuts.
Proceedings of the British Machine Vision Conference 2006, 2006

Graph Cuts in Vision and Graphics: Theories and Applications.
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005
Stereo Correspondence by Dynamic Programming on a Tree.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003
Extracting Dense Features for Visual Correspondence with Graph Cuts.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Fast Variable Window for Stereo Correspondence using Integral Images.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Stereo Correspondence with Compact Windows via Minimum Ratio Cycle.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Dense Features for Semi-Dense Stereo Correspondence.
Int. J. Comput. Vis., 2002

2001
Fast Approximate Energy Minimization via Graph Cuts.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Stereo Matching by Compact Windows via Minimum Ratio Cycle.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Semi-Dense Stereo Correspondence with Dense Features.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Image Segmentation by Nested Cuts.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Efficient Graph-Based Energy Minimization Methods in Computer Vision.
PhD thesis, 1999

A New Algorithm for Energy Minimization with Discontinuities.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

1998
A Variable Window Approach to Early Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Markov Random Fields with Efficient Approximations.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
Disparity Component Matching for Visual Correspondence.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997


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