Yu. A. Boykov
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Yu. A. Boykovcomputer-science Degrees
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Computer Science
Why Is Yu. A. Boykov Influential?
(Suggest an Edit or Addition)Yu. A. Boykov's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Fast approximate energy minimization via graph cuts (2001) (8177)
- An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision (2001) (5131)
- Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images (2001) (4345)
- Graph Cuts and Efficient N-D Image Segmentation (2006) (2148)
- Image Segmentation Using Deep Learning: A Survey (2020) (1116)
- Computing geodesics and minimal surfaces via graph cuts (2003) (689)
- Fast Approximate Energy Minimization with Label Costs (2010) (573)
- Markov random fields with efficient approximations (1998) (539)
- Superpixels and Supervoxels in an Energy Optimization Framework (2010) (499)
- Energy-Based Geometric Multi-model Fitting (2012) (317)
- Interactive Organ Segmentation Using Graph Cuts (2000) (289)
- Graph Cuts in Vision and Graphics: Theories and Applications (2006) (234)
- Normalized Cut Loss for Weakly-Supervised CNN Segmentation (2018) (217)
- What metrics can be approximated by geo-cuts, or global optimization of length/area and flux (2005) (217)
- GrabCut in One Cut (2013) (211)
- A Continuous Max-Flow Approach to Potts Model (2010) (188)
- On Regularized Losses for Weakly-supervised CNN Segmentation (2018) (187)
- A Variable Window Approach to Early Vision (1998) (183)
- Constrained‐CNN losses for weakly supervised segmentation☆ (2018) (176)
- Global Optimization for Shape Fitting (2007) (165)
- Globally optimal segmentation of multi-region objects (2009) (158)
- Applications of parametric maxflow in computer vision (2007) (152)
- A Scalable graph-cut algorithm for N-D grids (2008) (134)
- Active Graph Cuts (2006) (131)
- An Integral Solution to Surface Evolution PDEs Via Geo-cuts (2006) (115)
- Semiautomatic Segmentation with Compact Shapre Prior (2006) (110)
- Automatic heart isolation for CT coronary visualization using graph-cuts (2006) (101)
- Adaptive Bayesian recognition in tracking rigid objects (2000) (87)
- Performance of an automated segmentation algorithm for 3D MR renography (2007) (85)
- Oriented Visibility for Multiview Reconstruction (2006) (75)
- Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models (2001) (69)
- Efficient Segmentation: Learning Downsampling Near Semantic Boundaries (2019) (63)
- In Defense of 3D-Label Stereo (2013) (62)
- A new Bayesian framework for object recognition (1999) (61)
- Minimizing Energies with Hierarchical Costs (2012) (56)
- A spatially continuous max-flow and min-cut framework for binary labeling problems (2014) (55)
- A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems (2011) (51)
- Fast Trust Region for Segmentation (2013) (47)
- From Photohulls to Photoflux Optimization (2006) (45)
- Convexity Shape Prior for Segmentation (2014) (43)
- Pseudo-bound Optimization for Binary Energies (2014) (41)
- Submodularization for Binary Pairwise Energies (2014) (40)
- A New Algorithm for Energy Minimization with Discontinuities (1999) (39)
- Kernel Clustering: Density Biases and Solutions (2017) (34)
- Secrets of GrabCut and Kernel K-Means (2015) (33)
- Convexity Shape Prior for Binary Segmentation (2017) (33)
- Efficient Squared Curvature (2014) (31)
- Kernel Cuts: Kernel and Spectral Clustering Meet Regularization (2018) (30)
- Interactive Foreground Extraction using graph cut (2011) (30)
- Disparity component matching for visual correspondence (1997) (29)
- Segmentation with Non-linear Regional Constraints via Line-Search Cuts (2012) (28)
- A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation (2012) (28)
- Efficient Shape Matching Via Graph Cuts (2007) (27)
- Curvature-based regularization for surface approximation (2012) (26)
- Interactive Segmentation with Super-Labels (2011) (26)
- Hedgehog Shape Priors for Multi-Object Segmentation (2016) (25)
- Normalized Cut Meets MRF (2016) (22)
- Energy Based Multi-model Fitting & Matching for 3D Reconstruction (2014) (22)
- Auxiliary Cuts for General Classes of Higher Order Functionals (2013) (22)
- Beyond Gradient Descent for Regularized Segmentation Losses (2018) (21)
- TV-Based Multi-Label Image Segmentation with Label Cost Prior (2010) (18)
- Capacity Scaling for Graph Cuts in Vision (2007) (17)
- Hausdorff Distance Constraint for Multi-surface Segmentation (2012) (16)
- Minimizing Sparse High-Order Energies by Submodular Vertex-Cover (2012) (16)
- Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts (2007) (14)
- Convexity Shape Prior for Binary Segmentation. (2017) (14)
- Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions (2015) (12)
- Thin Structure Estimation with Curvature Regularization (2015) (11)
- Partial Enumeration and Curvature Regularization (2013) (11)
- Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS) (2017) (11)
- A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior (2011) (11)
- Fast Fusion Moves for Multi-model Estimation (2012) (10)
- Recursive MDL via graph cuts: Application to segmentation (2011) (10)
- K-convexity Shape Priors for Segmentation (2018) (10)
- Kernel Cuts: MRF meets Kernel & Spectral Clustering (2015) (9)
- Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR) (2009) (9)
- Interactive Segmentation (2014) (7)
- A-expansion for multiple "hedgehog" shapes (2016) (7)
- RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation (2020) (7)
- A Study on Convex Optimization Approaches to Image Fusion (2011) (7)
- Joint Optimization of Segmentation and Color Clustering (2015) (7)
- Efficient Regularization of Squared Curvature (2013) (6)
- Local Submodularization for Binary Pairwise Energies (2017) (6)
- Energy Minimization Methods in Computer Vision and Pattern Recognition (2009) (5)
- Joint optimization of fitting & matching in multi-view reconstruction (2013) (4)
- Divergence Prior and Vessel-Tree Reconstruction (2018) (4)
- Demonstration of segmentation with interactive graph cuts (2001) (4)
- Validation of a Graph Cuts Algorithm for Semi-Automated Segmentation of Magnetic Resonance Renographic Images (2003) (4)
- Submodularization for Quadratic Pseudo-Boolean Optimization (2013) (3)
- Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition (2011) (3)
- Global Optimization of Object Pose and Motion from a Single Rolling Shutter Image with Automatic 2 D-3 D Matching (3)
- A Fast Continuous Max-Flow Approach to Potts Model (2011) (2)
- A Bayesian Framework for Model Based Tracking (1999) (2)
- Size-constraint loss for weakly supervised CNN segmentation (2018) (2)
- Kernel clustering: Breiman's bias and solutions (2017) (1)
- Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009) (1)
- Shape Distances for Binary Image Segmentation (2016) (1)
- Confluent Vessel Trees with Accurate Bifurcations (2021) (1)
- Joint Energy-based Detection and Classificationon of Multilingual Text Lines (2014) (1)
- An Experimental Comparison of Trust Region and Level Sets (2013) (1)
- Photoflux Maximizing Shapes (2006) (1)
- Robust Trust Region for Weakly Supervised Segmentation (2021) (1)
- Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies (2017) (1)
- ADM for grid CRF loss in CNN segmentation (2018) (1)
- Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings (2011) (1)
- Simplifying Energy Optimization using Partial Enumeration (2013) (1)
- Confluent Vessel Trees with Accurate Bifurcations Supplementary Materials (2021) (1)
- Response of thermoelectric parameters of Bi0.5Sb1.5Te3 films to secondary recrystallization (2017) (1)
- 3.3 Disparity Component Matching for Visual Correspondence 3.3.2 Disparity Component Matching (2008) (0)
- Sparse Non-local CRF (2022) (0)
- Kernel Cuts: Kernel and Spectral Clustering Meet Regularization (2018) (0)
- Revisiting Discriminative Entropy Clustering and its relation to K-means (2023) (0)
- Application and metrological support of magnetic particle method of nondestructive testing in air transport (2012) (0)
- Energy-Based Geometric Multi-model Fitting (2011) (0)
- A spatially continuous max-flow and min-cut framework for binary labeling problems (2013) (0)
- Foreground Extraction using graph cut (2011) (0)
- Kernel Cuts: Kernel & Spectral Clustering meet Regularization (2018) (0)
- Guest Editorial: Energy Optimization Methods (2013) (0)
- Optimization in Computer Vision (2015) (0)
- Semiautomati Segmentation of Transistor Gates in Integrated Chips (2006) (0)
- Energy Minimization with Discontinuities (2007) (0)
- A Graph Based Algorithm for Bayesian Object Recognition (2000) (0)
- Appreciation to IJCV Reviewers (2016) (0)
- Guest Editorial: Energy Optimization Methods (2013) (0)
- Minimizing Energies with Hierarchical Costs (2012) (0)
- Medical image segmentation: beyond level-sets (MICCAI 2014 Tutorial) (2014) (0)
- Tangential Approximation of Surfaces (2013) (0)
- Object Segmentation and Markov Random Fields (2015) (0)
- Response of thermoelectric parameters of Bi0.5Sb1.5Te3 films to secondary recrystallization (2017) (0)
- Collision Cross-entropy and EM Algorithm for Self-labeled Classification (2023) (0)
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