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ORCIDYuri Boykov
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- affiliation: University of Western Ontario, Canada
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2020 – today
- 2023
[i23]Zhongwen Zhang, Yuri Boykov:
Revisiting Discriminative Entropy Clustering and its relation to K-means. CoRR abs/2301.11405 (2023)- [i22]Zhongwen Zhang, Yuri Boykov:
Collision Cross-entropy and EM Algorithm for Self-labeled Classification. CoRR abs/2303.07321 (2023) - 2022
- [j17]Shervin Minaee
, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3523-3542 (2022) - [c66]Olga Veksler, Yuri Boykov:
Sparse Non-local CRF. CVPR 2022: 4483-4493 - 2021
- [c65]Zhongwen Zhang, Dmitrii Marin, Maria Drangova, Yuri Boykov:
Confluent Vessel Trees With Accurate Bifurcations. CVPR 2021: 9573-9582 - [c64]Dmitrii Marin, Yuri Boykov:
Robust Trust Region for Weakly Supervised Segmentation. ICCV 2021: 6588-6598 - [i21]Zhongwen Zhang, Dmitrii Marin, Maria Drangova, Yuri Boykov:
Confluent Vessel Trees with Accurate Bifurcations. CoRR abs/2103.14268 (2021) - [i20]Dmitrii Marin, Yuri Boykov:
Robust Trust Region for Weakly Supervised Segmentation. CoRR abs/2104.01948 (2021) - 2020
- [i19]Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. CoRR abs/2001.05566 (2020) - [i18]Hossam N. Isack, Christian Häne, Cem Keskin, Sofien Bouaziz, Yuri Boykov, Shahram Izadi, Sameh Khamis:
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation. CoRR abs/2002.03933 (2020)
2010 – 2019
- 2019
- [j16]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. Int. J. Comput. Vis. 127(5): 477-511 (2019) - [j15]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j14]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Kernel Clustering: Density Biases and Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 136-147 (2019) - [c63]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Beyond Gradient Descent for Regularized Segmentation Losses. CVPR 2019: 10187-10196 - [c62]Zhongwen Zhang, Dmitrii Marin, Egor Chesakov, Marc Moreno Maza, Maria Drangova, Yuri Boykov:
Divergence Prior and Vessel-Tree Reconstruction. CVPR 2019: 10216-10224 - [c61]Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov:
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. ICCV 2019: 2131-2141 - [i17]Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov:
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. CoRR abs/1907.07156 (2019) - 2018
- [c60]Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-Supervised CNN Segmentation. CVPR 2018: 1818-1827 - [c59]Hossam N. Isack, Lena Gorelick, Karin Ng, Olga Veksler, Yuri Boykov:
K-convexity Shape Priors for Segmentation. ECCV (11) 2018: 38-54 - [c58]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. ECCV (16) 2018: 524-540 - [i16]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. CoRR abs/1803.09569 (2018) - [i15]Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-supervised CNN Segmentation. CoRR abs/1804.01346 (2018) - [i14]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i13]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
ADM for grid CRF loss in CNN segmentation. CoRR abs/1809.02322 (2018) - [i12]Zhongwen Zhang, Egor Chesakov, Dmitrii Marin, Yuri Boykov:
Divergence Prior and Vessel-tree Reconstruction. CoRR abs/1811.09745 (2018) - 2017
- [j13]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) - [j12]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Local Submodularization for Binary Pairwise Energies. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 1985-1999 (2017) - [c57]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS). CVPR 2017: 4981-4989 - [c56]Lena Gorelick, Yuri Boykov, Olga Veksler:
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies. CVPR 2017: 6062-6070 - [i11]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
- [c55]Hossam N. Isack, Olga Veksler, Milan Sonka, Yuri Boykov:
Hedgehog Shape Priors for Multi-Object Segmentation. CVPR 2016: 2434-2442 - [c54]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Normalized Cut Meets MRF. ECCV (2) 2016: 748-765 - [p2]Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox:
Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis 2016: 137-154 - [i10]Hossam N. Isack, Yuri Boykov, Olga Veksler:
A-expansion for multiple "hedgehog" shapes. CoRR abs/1602.01006 (2016) - 2015
- [c53]Dmitrii Marin, Yuchen Zhong, Maria Drangova, Yuri Boykov:
Thin Structure Estimation with Curvature Regularization. ICCV 2015: 397-405 - [c52]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-Means. ICCV 2015: 1555-1563 - [c51]Ekaterina Lobacheva, Olga Veksler, Yuri Boykov:
Joint Optimization of Segmentation and Color Clustering. ICCV 2015: 1626-1634 - [c50]Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed:
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. ICCV 2015: 1769-1777 - [i9]Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed:
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. CoRR abs/1505.00218 (2015) - [i8]Dmitrii Marin, Yuri Boykov, Yuchen Zhong:
Thin Structure Estimation with Curvature Regularization. CoRR abs/1506.04654 (2015) - [i7]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-means. CoRR abs/1506.07439 (2015) - 2014
- [j11]Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov:
A spatially continuous max-flow and min-cut framework for binary labeling problems. Numerische Mathematik 126(3): 559-587 (2014) - [c49]Hossam N. Isack, Yuri Boykov:
Energy Based Multi-model Fitting & Matching for 3D Reconstruction. CVPR 2014: 1146-1153 - [c48]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Binary Pairwise Energies. CVPR 2014: 1154-1161 - [c47]Claudia Nieuwenhuis, Eno Töppe, Lena Gorelick, Olga Veksler, Yuri Boykov:
Efficient Squared Curvature. CVPR 2014: 4098-4105 - [c46]Lena Gorelick, Olga Veksler, Yuri Boykov, Claudia Nieuwenhuis:
Convexity Shape Prior for Segmentation. ECCV (5) 2014: 675-690 - [c45]Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Pseudo-bound Optimization for Binary Energies. ECCV (5) 2014: 691-707 - [r1]Yuri Boykov:
Interactive Segmentation. Computer Vision, A Reference Guide 2014: 416-422 - [i6]Igor Milevskiy, Yuri Boykov:
Joint Energy-based Detection and Classificationon of Multilingual Text Lines. CoRR abs/1407.6082 (2014) - 2013
- [j10]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104(3): 221-222 (2013) - [c44]Ismail Ben Ayed, Lena Gorelick, Yuri Boykov:
Auxiliary Cuts for General Classes of Higher Order Functionals. CVPR 2013: 1304-1311 - [c43]Lena Gorelick, Frank R. Schmidt, Yuri Boykov:
Fast Trust Region for Segmentation. CVPR 2013: 1714-1721 - [c42]Carl Olsson, Johannes Ulén, Yuri Boykov:
In Defense of 3D-Label Stereo. CVPR 2013: 1730-1737 - [c41]Meng Tang, Lena Gorelick, Olga Veksler, Yuri Boykov:
GrabCut in One Cut. ICCV 2013: 1769-1776 - [c40]Carl Olsson, Johannes Ulén, Yuri Boykov, Vladimir Kolmogorov:
Partial Enumeration and Curvature Regularization. ICCV 2013: 2936-2943 - [i5]Carl Olsson, Johannes Ulén, Yuri Boykov:
Simplifying Energy Optimization using Partial Enumeration. CoRR abs/1303.1749 (2013) - [i4]Hossam N. Isack, Yuri Boykov:
Joint optimization of fitting & matching in multi-view reconstruction. CoRR abs/1303.2607 (2013) - [i3]Claudia Nieuwenhuis, Eno Töppe, Lena Gorelick, Olga Veksler, Yuri Boykov:
Efficient Regularization of Squared Curvature. CoRR abs/1311.1838 (2013) - [i2]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Quadratic Pseudo-Boolean Optimization. CoRR abs/1311.1856 (2013) - [i1]Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov:
An Experimental Comparison of Trust Region and Level Sets. CoRR abs/1311.2102 (2013) - 2012
- [j9]Andrew Delong, Anton Osokin, Hossam N. Isack, Yuri Boykov:
Fast Approximate Energy Minimization with Label Costs. Int. J. Comput. Vis. 96(1): 1-27 (2012) - [j8]Hossam N. Isack, Yuri Boykov:
Energy-Based Geometric Multi-model Fitting. Int. J. Comput. Vis. 97(2): 123-147 (2012) - [j7]Andrew Delong, Lena Gorelick, Olga Veksler, Yuri Boykov:
Minimizing Energies with Hierarchical Costs. Int. J. Comput. Vis. 100(1): 38-58 (2012) - [j6]Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov:
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. 5(4): 1333-1354 (2012) - [c39]Carl Olsson, Yuri Boykov:
Curvature-based regularization for surface approximation. CVPR 2012: 1576-1583 - [c38]Andrew Delong, Olga Veksler, Yuri Boykov:
Fast Fusion Moves for Multi-model Estimation. ECCV (1) 2012: 370-384 - [c37]Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward:
Segmentation with Non-linear Regional Constraints via Line-Search Cuts. ECCV (1) 2012: 583-597 - [c36]Frank R. Schmidt, Yuri Boykov:
Hausdorff Distance Constraint for Multi-surface Segmentation. ECCV (1) 2012: 598-611 - [c35]Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov:
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. NIPS 2012: 971-979 - 2011
- [c34]Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov:
A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 134-154 - [c33]Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov:
Interactive Segmentation with Super-Labels. EMMCVPR 2011: 147-162 - [c32]Lena Gorelick, Andrew Delong, Olga Veksler, Yuri Boykov:
Recursive MDL via graph cuts: Application to segmentation. ICCV 2011: 890-897 - [c31]Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov:
A Study on Convex Optimization Approaches to Image Fusion. SSVM 2011: 122-133 - [c30]Jing Yuan, Egil Bae, Yuri Boykov, Xue-Cheng Tai:
A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior. SSVM 2011: 279-290 - [e2]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6819, Springer 2011, ISBN 978-3-642-23093-6 [contents] - 2010
- [c29]Jing Yuan, Yuri Boykov:
TV-Based Multi-Label Image Segmentation with Label Cost Prior. BMVC 2010: 1-12 - [c28]Andrew Delong, Anton Osokin, Hossam N. Isack, Yuri Boykov:
Fast approximate energy minimization with label costs. CVPR 2010: 2173-2180 - [c27]Olga Veksler, Yuri Boykov, Paria Mehrani:
Superpixels and Supervoxels in an Energy Optimization Framework. ECCV (5) 2010: 211-224 - [c26]Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov:
A Continuous Max-Flow Approach to Potts Model. ECCV (6) 2010: 379-392
2000 – 2009
- 2009
- [j5]Piali Das, Olga Veksler, Vyacheslav Zavadsky, Yuri Boykov:
Semiautomatic segmentation with compact shape prior. Image Vis. Comput. 27(1-2): 206-219 (2009) - [c25]Andrew Delong, Yuri Boykov:
Globally optimal segmentation of multi-region objects. ICCV 2009: 285-292 - [e1]Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Lecture Notes in Computer Science 5681, Springer 2009, ISBN 978-3-642-03640-8 [contents] - 2008
- [c24]Andrew Delong, Yuri Boykov:
A Scalable graph-cut algorithm for N-D grids. CVPR 2008 - 2007
- [c23]Victor S. Lempitsky, Yuri Boykov:
Global Optimization for Shape Fitting. CVPR 2007 - [c22]Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov:
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium 2007: 446-455 - [c21]Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov:
Efficient Shape Matching Via Graph Cuts. EMMCVPR 2007: 39-54 - [c20]Olivier Juan, Yuri Boykov:
Capacity Scaling for Graph Cuts in Vision. ICCV 2007: 1-8 - [c19]Vladimir Kolmogorov, Yuri Boykov, Carsten Rother:
Applications of parametric maxflow in computer vision. ICCV 2007: 1-8 - 2006
- [j4]Yuri Boykov, Gareth Funka-Lea:
Graph Cuts and Efficient N-D Image Segmentation. Int. J. Comput. Vis. 70(2): 109-131 (2006) - [c18]Yuri Boykov, Victor S. Lempitsky:
From Photohulls to Photoflux Optimization. BMVC 2006: 1149-1158 - [c17]Olivier Juan, Yuri Boykov:
Active Graph Cuts. CVPR (1) 2006: 1023-1029 - [c16]Victor S. Lempitsky, Yuri Boykov, Denis V. Ivanov:
Oriented Visibility for Multiview Reconstruction. ECCV (3) 2006: 226-238 - [c15]Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong:
An Integral Solution to Surface Evolution PDEs Via Geo-cuts. ECCV (3) 2006: 409-422 - [c14]Gareth Funka-Lea, Yuri Boykov, Charles Florin, Marie-Pierre Jolly, Romain Moreau-Gobard, Rana Ramaraj, Daniel Rinck:
Automatic heart isolation for CT coronary visualization using graph-cuts. ISBI 2006: 614-617 - [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
- [c13]Vladimir Kolmogorov, Yuri Boykov:
What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux. ICCV 2005: 564-571 - 2004
- [j3]Yuri Boykov, Vladimir Kolmogorov:
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1124-1137 (2004) - 2003
- [c12]Yuri Boykov, Vladimir Kolmogorov:
Computing Geodesics and Minimal Surfaces via Graph Cuts. ICCV 2003: 26-33 - 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) - [c11]Yuri Boykov, Vladimir Kolmogorov:
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision. EMMCVPR 2001: 359-374 - [c10]Yuri Boykov, Marie-Pierre Jolly:
Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images. ICCV 2001: 105-112 - [c9]Yuri Boykov, Marie-Pierre Jolly:
Demonstration of Segmentation with Interactive Graph Cuts. ICCV 2001: 741 - [c8]Yuri Boykov, Vivian S. Lee, Henry Rusinek, Ravi Bansal:
Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models. MICCAI 2001: 1058-1066 - 2000
- [c7]Yuri Boykov, Daniel P. Huttenlocher:
Adaptive Bayesian Recognition in Tracking Rigid Objects. CVPR 2000: 2697- - [c6]Yuri Boykov, Marie-Pierre Jolly:
Interactive Organ Segmentation Using Graph Cuts. MICCAI 2000: 276-286
1990 – 1999
- 1999
- [c5]Yuri Boykov, Daniel P. Huttenlocher:
A New Bayesian Framework for Object Recognition. CVPR 1999: 2517-2523 - [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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