Olga Veksler

发表

Double Expansion for Optimization of Multilabel Energies

Lena Gorelick, Zhengqin Li, Olga Veksler, 2017, BMVC.

Location Augmentation for CNN pdf

Olga Veksler, Zhenyi Wang, O. Veksler, 2018, ArXiv.

Fast dynamic programming for labeling problems with ordering constraints

Junjie Bai, Xiaodong Wu, Qi Song, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Stereo Correspondence with Compact Windows via Minimum Ratio Cycle

Olga Veksler, O. Veksler, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Efficient Graph Cut Optimization for Full CRFs with Quantized Edges

Olga Veksler, O. Veksler, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Simulating Classic Mosaics with Graph Cuts

Yu Liu, Olga Veksler, Olivier Juan, 2007, EMMCVPR.

Parameter Selection for Graph Cut Based Image Segmentation

Bo Peng, Olga Veksler, O. Veksler, 2008, BMVC.

Order-Preserving Moves for Graph-Cut-Based Optimization

Olga Veksler, Jagath Samarabandu, Xiaoqing Liu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Superpixels and Supervoxels in an Energy Optimization Framework

Paria Mehrani, Olga Veksler, Yuri Boykov, 2010, ECCV.

A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves

Hugues Talbot, Olga Veksler, Daniel Wesierski, 2011, EMMCVPR.

Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies

Lena Gorelick, Olga Veksler, Yuri Boykov, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A New Algorithm for Energy Minimization with Discontinuities

Olga Veksler, Ramin Zabih, Yuri Boykov, 1999, EMMCVPR.

A Variable Window Approach to Early Vision

Olga Veksler, Ramin Zabih, Yuri Boykov, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Submodularization for Binary Pairwise Energies

Lena Gorelick, Olga Veksler, Ismail Ben Ayed, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Graph Cuts in Vision and Graphics: Theories and Applications

Olga Veksler, Yuri Boykov, Yuri Boykov, 2006, Handbook of Mathematical Models in Computer Vision.

GrabCut in One Cut

Lena Gorelick, Olga Veksler, Yuri Boykov, 2013, 2013 IEEE International Conference on Computer Vision.

Efficient parallel optimization for potts energy with hierarchical fusion

Olga Veksler, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover

Olga Veksler, Anton Osokin, Yuri Boykov, 2012, NIPS.

Multi-object Convexity Shape Prior for Segmentation

Lena Gorelick, Olga Veksler, Lena Gorelick, 2017, EMMCVPR.

Interactive Segmentation with Super-Labels

Lena Gorelick, Olga Veksler, Yuri Boykov, 2011, EMMCVPR.

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

Nikos Komodakis, Endre Boros, Olga Veksler, 2016, Comput. Vis. Image Underst..

Markov random fields with efficient approximations

Olga Veksler, Ramin Zabih, Yuri Boykov, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

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

Aaron Fenster, Aaron D. Ward, Lena Gorelick, 2013, IEEE Transactions on Medical Imaging.

Fast variable window for stereo correspondence using integral images

Olga Veksler, O. Veksler, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Recursive MDL via graph cuts: Application to segmentation

Lena Gorelick, Olga Veksler, Yuri Boykov, 2011, 2011 International Conference on Computer Vision.

Efficient Squared Curvature

Lena Gorelick, Olga Veksler, Yuri Boykov, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-label Moves for MRFs with Truncated Convex Priors

Olga Veksler, 2009, EMMCVPR.

Submodularization for Quadratic Pseudo-Boolean Optimization pdf

Lena Gorelick, Olga Veksler, Ismail Ben Ayed, 2013, ArXiv.

Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS)

Milan Sonka, Ipek Oguz, Olga Veksler, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Graph Cut Based Optimization for MRFs with Truncated Convex Priors

Olga Veksler, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Star Shape Prior for Graph-Cut Image Segmentation

Olga Veksler, O. Veksler, 2008, ECCV.

Semiautomatic Segmentation with Compact Shapre Prior

Olga Veksler, Piali Das, 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

Dynamic Programming for Approximate Expansion Algorithm

Olga Veksler, O. Veksler, 2012, ECCV.

Tiered scene labeling with dynamic programming

Olga Veksler, Pedro F. Felzenszwalb, O. Veksler, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Disparity component matching for visual correspondence

Olga Veksler, Ramin Zabih, Yuri Boykov, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Graph cut with ordering constraints on labels and its applications

Olga Veksler, Jagath Samarabandu, Xiaoqing Liu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Reducing Search Space for Stereo Correspondence with Graph Cuts

Olga Veksler, 2006, BMVC.

Joint Optimization of Segmentation and Color Clustering

Olga Veksler, Ekaterina Lobacheva, Yuri Boykov, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Multi-label Moves for MRFs with Truncated Convex Priors

Olga Veksler, O. Veksler, 2009, International Journal of Computer Vision.

Extracting dense features for visual correspondence with graph cuts

Olga Veksler, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Convexity Shape Prior for Segmentation

Lena Gorelick, Olga Veksler, Yuri Boykov, 2014, ECCV.

Fast approximate energy minimization via graph cuts

Olga Veksler, Ramin Zabih, Yuri Boykov, 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Learning Regularization Weight for CRF Optimization

Olga Veksler, Jiaxiao Wu, O. Veksler, 2018, BMVC.

Improved Moves for Truncated Convex Models

Philip H. S. Torr, Olga Veksler, M. Pawan Kumar, 2008, J. Mach. Learn. Res..

Image segmentation by nested cuts

Olga Veksler, O. Veksler, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Hedgehog Shape Priors for Multi-Object Segmentation

Milan Sonka, Olga Veksler, Yuri Boykov, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Semiautomatic segmentation with compact shape prior

Olga Veksler, Yuri Boykov, Piali Das, 2009, Image Vis. Comput..

Object Class Segmentation Using Reliable Regions

Olga Veksler, Vida Vakili, O. Veksler, 2010, ACCV.

Optimization in Computer Vision

Vladimir Kolmogorov, Olga Veksler, Yuri Boykov, 2015 .

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

Richard Szeliski, Vladimir Kolmogorov, Carsten Rother, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fast Approximate Energy Minimization via Graph Cuts

Olga Veksler, Ramin Zabih, Yuri Boykov, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Semi-dense stereo correspondence with dense features

Olga Veksler, O. Veksler, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

A-expansion for multiple "hedgehog" shapes pdf

Olga Veksler, Yuri Boykov, Hossam N. Isack, 2016, ArXiv.

Efficient Regularization of Squared Curvature pdf

Lena Gorelick, Olga Veksler, Yuri Boykov, 2013, ArXiv.

Stereo Matching by Compact Windows via Minimum Ratio Cycle

Olga Veksler, 2001, ICCV.

Generating Classic Mosaics with Graph Cuts

Yu Liu, Olga Veksler, Olivier Juan, 2010, Comput. Graph. Forum.

Local Submodularization for Binary Pairwise Energies

Lena Gorelick, Olga Veksler, Ismail Ben Ayed, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

K-convexity Shape Priors for Segmentation

Lena Gorelick, Olga Veksler, Yuri Boykov, 2018, ECCV.

Simulating CRF with CNN for CNN pdf

Lena Gorelick, Olga Veksler, 2019, ArXiv.

Animated Classic Mosaics from Video

Yu Liu, Olga Veksler, O. Veksler, 2009, ISVC.

Stereo correspondence by dynamic programming on a tree

Olga Veksler, O. Veksler, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Fast Fusion Moves for Multi-model Estimation

Olga Veksler, Yuri Boykov, Andrew Delong, 2012, ECCV.

Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Olga Veksler, O. Veksler, 2020, ECCV.

Saliency Segmentation based on Learning and Graph Cut Refinement

Paria Mehrani, Olga Veksler, O. Veksler, 2010, BMVC.

Convexity Shape Prior for Binary Segmentation

Lena Gorelick, Olga Veksler, Yuri Boykov, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Comparative Study of Energy Minimization Methods for Markov Random Fields

Richard Szeliski, Vladimir Kolmogorov, Carsten Rother, 2006, ECCV.

Minimizing Energies with Hierarchical Costs

Lena Gorelick, Olga Veksler, Yuri Boykov, 2012, International Journal of Computer Vision.

Stereo matching by compact windows via minimum ratio cycle

Olga Veksler, O. Veksler, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Energy Minimization with Discontinuities

Olga Veksler, Ramin Zabih, Yuri Boykov, 2007 .

Semi-dense stereo correspondence with dense features

Olga Veksler, O. Veksler, 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).