Yuri Boykov

According to our database1, Yuri Boykov authored at least 94 papers between 1997 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Robust Trust Region for Weakly Supervised Segmentation.
CoRR, 2021

Confluent Vessel Trees with Accurate Bifurcations.
CoRR, 2021

2020
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation.
CoRR, 2020

Image Segmentation Using Deep Learning: A Survey.
CoRR, 2020

2019
Kernel Clustering: Density Biases and Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Constrained-CNN losses for weakly supervised segmentation.
Medical Image Anal., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.
Int. J. Comput. Vis., 2019

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Divergence Prior and Vessel-Tree Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond Gradient Descent for Regularized Segmentation Losses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Divergence Prior and Vessel-tree Reconstruction.
CoRR, 2018

ADM for grid CRF loss in CNN segmentation.
CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.
CoRR, 2018

On Regularized Losses for Weakly-supervised CNN Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

Normalized Cut Loss for Weakly-Supervised CNN Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 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

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

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

Normalized Cut Meets MRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

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

Shape Distances for Binary Image Segmentation.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
Thin Structure Estimation with Curvature Regularization.
CoRR, 2015

Secrets of GrabCut and Kernel K-Means.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Thin Structure Estimation with Curvature Regularization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Interactive Segmentation.
Computer Vision, A Reference Guide, 2014

A spatially continuous max-flow and min-cut framework for binary labeling problems.
Numerische Mathematik, 2014

Joint Energy-based Detection and Classificationon of Multilingual Text Lines.
CoRR, 2014

Pseudo-bound Optimization for Binary Energies.
Proceedings of the Computer Vision - ECCV 2014, 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

Energy Based Multi-model Fitting & Matching for 3D Reconstruction.
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
Guest Editorial: Energy Optimization Methods.
Int. J. Comput. Vis., 2013

Joint optimization of fitting & matching in multi-view reconstruction
CoRR, 2013

Simplifying Energy Optimization using Partial Enumeration
CoRR, 2013

Efficient Regularization of Squared Curvature.
CoRR, 2013

Submodularization for Quadratic Pseudo-Boolean Optimization.
CoRR, 2013

An Experimental Comparison of Trust Region and Level Sets.
CoRR, 2013

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

Partial Enumeration and Curvature Regularization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

In Defense of 3D-Label Stereo.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Fast Trust Region for Segmentation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Auxiliary Cuts for General Classes of Higher Order Functionals.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation.
SIAM J. Imaging Sci., 2012

Energy-Based Geometric Multi-model Fitting.
Int. J. Comput. Vis., 2012

Fast Approximate Energy Minimization with Label Costs.
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

Hausdorff Distance Constraint for Multi-surface Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Segmentation with Non-linear Regional Constraints via Line-Search Cuts.
Proceedings of the Computer Vision - ECCV 2012, 2012

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

Curvature-based regularization for surface approximation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A Study on Convex Optimization Approaches to Image Fusion.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

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

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

A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems.
Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

2010
A Continuous Max-Flow Approach to Potts Model.
Proceedings of the Computer Vision - ECCV 2010, 2010

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

TV-Based Multi-Label Image Segmentation with Label Cost Prior.
Proceedings of the British Machine Vision Conference, 2010

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

Globally optimal segmentation of multi-region objects.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
A Scalable graph-cut algorithm for N-D grids.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Applications of parametric maxflow in computer vision.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Capacity Scaling for Graph Cuts in Vision.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Efficient Shape Matching Via Graph Cuts.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts.
Proceedings of the Pattern Recognition, 2007

Global Optimization for Shape Fitting.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Graph Cuts and Efficient N-D Image Segmentation.
Int. J. Comput. Vis., 2006

Automatic heart isolation for CT coronary visualization using graph-cuts.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Oriented Visibility for Multiview Reconstruction.
Proceedings of the Computer Vision, 2006

An Integral Solution to Surface Evolution PDEs Via Geo-cuts.
Proceedings of the Computer Vision, 2006

Active Graph Cuts.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

From Photohulls to Photoflux Optimization.
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
What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

2003
Computing Geodesics and Minimal Surfaces via Graph Cuts.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

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

Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Demonstration of Segmentation with Interactive Graph Cuts.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
Interactive Organ Segmentation Using Graph Cuts.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Adaptive Bayesian Recognition in Tracking Rigid Objects.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

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

A New Bayesian Framework for Object Recognition.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 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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