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Olga Veksler
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- affiliation: University of Western Ontario, Canada
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2020 – today
- 2024
- [j17]Zongliang Ji
, Olga Veksler
Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3923-3937 (2024) - 2023
- [c48]Olga Veksler:
Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection. CVPR 2023: 7360-7369 - 2022
- [c47]Olga Veksler, Yuri Boykov:
Sparse Non-local CRF. CVPR 2022: 4483-4493 - 2021
- [c46]Zongliang Ji, Olga Veksler:
Weakly Supervised Semantic Segmentation: From Box to Tag and Back. BMVC 2021: 385 - 2020
- [j16]Olga Veksler
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 1005-1012 (2020) - [c45]Olga Veksler:
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation. ECCV (29) 2020: 348-365
2010 – 2019
- 2019
- [i7]Lena Gorelick, Olga Veksler:
Simulating CRF with CNN for CNN. CoRR abs/1905.02163 (2019) - 2018
- [c44]Jiaxiao Wu, Olga Veksler:
Learning Regularization Weight for CRF Optimization. BMVC 2018: 244 - [c43]Hossam N. Isack, Lena Gorelick, Karin Ng, Olga Veksler, Yuri Boykov:
K-convexity Shape Priors for Segmentation. ECCV (11) 2018: 38-54 - [i6]Zhenyi Wang, Olga Veksler:
Location Augmentation for CNN. CoRR abs/1807.07044 (2018) - [i5]Olga Veksler:
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges. CoRR abs/1809.04995 (2018) - 2017
- [j15]Lena Gorelick, Olga Veksler, Yuri Boykov, Claudia Nieuwenhuis:
Convexity Shape Prior for Binary Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 258-271 (2017) - [j14]Lena Gorelick, Yuri Boykov, Olga Veksler
Local Submodularization for Binary Pairwise Energies. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 1985-1999 (2017) - [c42]Lena Gorelick, Zhengqin Li, Olga Veksler:
Double Expansion for Optimization of Multilabel Energies. BMVC 2017 - [c41]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS). CVPR 2017: 4981-4989 - [c40]Lena Gorelick, Yuri Boykov, Olga Veksler:
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies. CVPR 2017: 6062-6070 - [c39]Lena Gorelick, Olga Veksler:
Multi-object Convexity Shape Prior for Segmentation. EMMCVPR 2017: 455-468 - [i4]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient optimization for Hierarchically-structured Interacting Segments (HINTS). CoRR abs/1703.10530 (2017) - 2016
- [j13]Chaohui Wang, Nikos Komodakis, Hiroshi Ishikawa, Olga Veksler, Endre Boros
Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis. Comput. Vis. Image Underst. 143: 52-53 (2016) - [c38]Hossam N. Isack, Olga Veksler, Milan Sonka
Hedgehog Shape Priors for Multi-Object Segmentation. CVPR 2016: 2434-2442 - [i3]Hossam N. Isack, Yuri Boykov, Olga Veksler:
A-expansion for multiple "hedgehog" shapes. CoRR abs/1602.01006 (2016) - 2015
- [c37]Olga Veksler:
Efficient parallel optimization for potts energy with hierarchical fusion. CVPR 2015: 887-895 - [c36]Ekaterina Lobacheva, Olga Veksler, Yuri Boykov:
Joint Optimization of Segmentation and Color Clustering. ICCV 2015: 1626-1634 - 2014
- [c35]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Binary Pairwise Energies. CVPR 2014: 1154-1161 - [c34]Claudia Nieuwenhuis, Eno Töppe, Lena Gorelick, Olga Veksler, Yuri Boykov:
Efficient Squared Curvature. CVPR 2014: 4098-4105 - [c33]Lena Gorelick, Olga Veksler, Yuri Boykov, Claudia Nieuwenhuis:
Convexity Shape Prior for Segmentation. ECCV (5) 2014: 675-690 - 2013
- [j12]Lena Gorelick, Olga Veksler, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Glenn Bauman
Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification. IEEE Trans. Medical Imaging 32(10): 1804-1818 (2013) - [c32]Meng Tang, Lena Gorelick, Olga Veksler, Yuri Boykov:
GrabCut in One Cut. ICCV 2013: 1769-1776 - [i2]Claudia Nieuwenhuis, Eno Töppe, Lena Gorelick, Olga Veksler, Yuri Boykov:
Efficient Regularization of Squared Curvature. CoRR abs/1311.1838 (2013) - [i1]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Quadratic Pseudo-Boolean Optimization. CoRR abs/1311.1856 (2013) - 2012
- [j11]Olga Veksler:
Multi-label Moves for MRFs with Truncated Convex Priors. Int. J. Comput. Vis. 98(1): 1-14 (2012) - [j10]Andrew Delong, Lena Gorelick, Olga Veksler, Yuri Boykov:
Minimizing Energies with Hierarchical Costs. Int. J. Comput. Vis. 100(1): 38-58 (2012) - [c31]Junjie Bai, Qi Song, Olga Veksler, Xiaodong Wu:
Fast dynamic programming for labeling problems with ordering constraints. CVPR 2012: 1728-1735 - [c30]Andrew Delong, Olga Veksler, Yuri Boykov:
Fast Fusion Moves for Multi-model Estimation. ECCV (1) 2012: 370-384 - [c29]Olga Veksler:
Dynamic Programming for Approximate Expansion Algorithm. ECCV (3) 2012: 850-863 - [c28]Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov:
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. NIPS 2012: 971-979 - 2011
- [j9]M. Pawan Kumar, Olga Veksler, Philip H. S. Torr:
Improved Moves for Truncated Convex Models. J. Mach. Learn. Res. 12: 31-67 (2011) - [c27]Anna Jezierska
A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves. EMMCVPR 2011: 45-58 - [c26]Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov:
Interactive Segmentation with Super-Labels. EMMCVPR 2011: 147-162 - [c25]Lena Gorelick, Andrew Delong, Olga Veksler, Yuri Boykov:
Recursive MDL via graph cuts: Application to segmentation. ICCV 2011: 890-897 - 2010
- [j8]Yu Liu, Olga Veksler, Olivier Juan:
Generating Classic Mosaics with Graph Cuts. Comput. Graph. Forum 29(8): 2387-2399 (2010) - [j7]Xiaoqing Liu, Olga Veksler, Jagath Samarabandu:
Order-Preserving Moves for Graph-Cut-Based Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1182-1196 (2010) - [c24]Vida Vakili, Olga Veksler:
Object Class Segmentation Using Reliable Regions. ACCV (2) 2010: 123-136 - [c23]Paria Mehrani, Olga Veksler:
Saliency Segmentation based on Learning and Graph Cut Refinement. BMVC 2010: 1-12 - [c22]Pedro F. Felzenszwalb, Olga Veksler:
Tiered scene labeling with dynamic programming. CVPR 2010: 3097-3104 - [c21]Olga Veksler, Yuri Boykov, Paria Mehrani:
Superpixels and Supervoxels in an Energy Optimization Framework. ECCV (5) 2010: 211-224
2000 – 2009
- 2009
- [j6]Piali Das, Olga Veksler, Vyacheslav Zavadsky, Yuri Boykov:
Semiautomatic segmentation with compact shape prior. Image Vis. Comput. 27(1-2): 206-219 (2009) - [c20]Olga Veksler:
Multi-label Moves for MRFs with Truncated Convex Priors. EMMCVPR 2009: 1-13 - [c19]Yu Liu, Olga Veksler:
Animated Classic Mosaics from Video. ISVC (2) 2009: 1085-1096 - 2008
- [j5]Richard Szeliski, Ramin Zabih
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1068-1080 (2008) - [c18]Bo Peng, Olga Veksler:
Parameter Selection for Graph Cut Based Image Segmentation. BMVC 2008: 1-10 - [c17]Xiaoqing Liu, Olga Veksler, Jagath Samarabandu:
Graph cut with ordering constraints on labels and its applications. CVPR 2008 - [c16]Olga Veksler:
Star Shape Prior for Graph-Cut Image Segmentation. ECCV (3) 2008: 454-467 - 2007
- [c15]Olga Veksler:
Graph Cut Based Optimization for MRFs with Truncated Convex Priors. CVPR 2007 - [c14]Yu Liu, Olga Veksler, Olivier Juan:
Simulating Classic Mosaics with Graph Cuts. EMMCVPR 2007: 55-70 - 2006
- [c13]Olga Veksler:
Reducing Search Space for Stereo Correspondence with Graph Cuts. BMVC 2006: 709-718 - [c12]Piali Das, Olga Veksler:
Semiautomatic Segmentation with Compact Shapre Prior. CRV 2006: 28 - [c11]Richard Szeliski, Ramin Zabih
A Comparative Study of Energy Minimization Methods for Markov Random Fields. ECCV (2) 2006: 16-29 - [p1]Yuri Boykov, Olga Veksler:
Graph Cuts in Vision and Graphics: Theories and Applications. Handbook of Mathematical Models in Computer Vision 2006: 79-96 - 2005
- [c10]Olga Veksler:
Stereo Correspondence by Dynamic Programming on a Tree. CVPR (2) 2005: 384-390 - 2003
- [c9]Olga Veksler:
Fast Variable Window for Stereo Correspondence using Integral Images. CVPR (1) 2003: 556-564 - [c8]Olga Veksler:
Extracting Dense Features for Visual Correspondence with Graph Cuts. CVPR (1) 2003: 689-694 - 2002
- [j4]Olga Veksler:
Dense Features for Semi-Dense Stereo Correspondence. Int. J. Comput. Vis. 47(1-3): 247-260 (2002) - [j3]Olga Veksler:
Stereo Correspondence with Compact Windows via Minimum Ratio Cycle. IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1654-1660 (2002) - 2001
- [j2]Yuri Boykov, Olga Veksler, Ramin Zabih
Fast Approximate Energy Minimization via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11): 1222-1239 (2001) - [c7]Olga Veksler:
Semi-Dense Stereo Correspondence with Dense Features. CVPR (2) 2001: 490-487 - [c6]Olga Veksler:
Stereo Matching by Compact Windows via Minimum Ratio Cycle. ICCV 2001: 540-547 - 2000
- [c5]Olga Veksler:
Image Segmentation by Nested Cuts. CVPR 2000: 1339-
1990 – 1999
- 1999
- [b1]Olga Veksler:
Efficient Graph-Based Energy Minimization Methods in Computer Vision. Cornell University, USA, 1999 - [c4]Yuri Boykov, Olga Veksler, Ramin Zabih
A New Algorithm for Energy Minimization with Discontinuities. EMMCVPR 1999: 205-220 - [c3]Yuri Boykov, Olga Veksler, Ramin Zabih
Fast Approximate Energy Minimization via Graph Cuts. ICCV 1999: 377-384 - 1998
- [j1]Yuri Boykov, Olga Veksler, Ramin Zabih:
A Variable Window Approach to Early Vision. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1283-1294 (1998) - [c2]Yuri Boykov, Olga Veksler, Ramin Zabih
Markov Random Fields with Efficient Approximations. CVPR 1998: 648-655 - 1997
- [c1]Yuri Boykov, Olga Veksler, Ramin Zabih:
Disparity Component Matching for Visual Correspondence. CVPR 1997: 470-475
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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