Boyken, J.D.
Standard Author Listing
with: Mitchell, B.K.: Method and apparatus for generating virtual views of s...
with: Wells, R.V.: Method and apparatus for generating virtual views of spor...
Boykin, K.G.
Standard Author Listing
with: Finegold, Y.: Cloud-Based Evaluation of the National Land Cover Databa...
with: Gedefaw, M.G.: Cloud-Based Evaluation of the National Land Cover Datab...
with: Geli, H.M.E.: Cloud-Based Evaluation of the National Land Cover Databa...
with: Salas, E.A.L.: Geographic Layers as Landscape Drivers for the Marco Po...
with: Salas, E.A.L.: Multispectral and Texture Feature Application in Image-...
with: Valdez, R.: Geographic Layers as Landscape Drivers for the Marco Polo ...
with: Valdez, R.: Multispectral and Texture Feature Application in Image-Obj...
with: Yadav, K.: Cloud-Based Evaluation of the National Land Cover Database ...
with: Zaied, A.J.: Cloud-Based Evaluation of the National Land Cover Databas...
9 for Boykin, K.G.
Boykin, S.
Standard Author Listing
with: Merlino, A.: Machine learning of event segmentation for news on demand
Boykov, Y.Y.
Standard Author Listing
with: Bae, E.: Continuous Max-Flow Approach to Minimal Partitions with Label...
with: Bae, E.: Continuous Max-Flow Approach to Potts Model, A
with: Bae, E.: Fast Continuous Max-Flow Approach to Non-convex Multi-labelin...
with: Ben Ayed, I.: Auxiliary Cuts for General Classes of Higher Order Funct...
with: Ben Ayed, I.: Beyond Gradient Descent for Regularized Segmentation Los...
with: Ben Ayed, I.: Convex Max-Flow Approach to Distribution-Based Figure-Gr...
with: Ben Ayed, I.: Kernel Clustering: Density Biases and Solutions
with: Ben Ayed, I.: Kernel Cuts: Kernel and Spectral Clustering Meet Regular...
with: Ben Ayed, I.: Local Submodularization for Binary Pairwise Energies
with: Ben Ayed, I.: Normalized Cut Meets MRF
with: Ben Ayed, I.: On Regularized Losses for Weakly-supervised CNN Segmenta...
with: Ben Ayed, I.: Pseudo-bound Optimization for Binary Energies
with: Ben Ayed, I.: Secrets of GrabCut and Kernel K-Means
with: Ben Ayed, I.: Submodularization for Binary Pairwise Energies
with: Ben Ayed, I.: Volumetric Bias in Segmentation and Reconstruction: Secr...
with: Chatterjee, P.: Efficient Segmentation: Learning Downsampling Near Sem...
with: Chesakov, E.: Divergence Prior and Vessel-Tree Reconstruction
with: Cremers, D.: Efficient Shape Matching Via Graph Cuts
with: Cremers, D.: Integral Solution to Surface Evolution PDEs Via Geo-cuts,...
with: Cremers, D.: Intrinsic Mean for Semi-metrical Shape Retrieval Via Grap...
with: Cremers, D.: What Metrics Can Be Approximated by Geo-Cuts, Or Global O...
with: Das, P.: Semiautomatic Segmentation with Compact Shape Prior
with: Delong, A.: Fast Approximate Energy Minimization with Label Costs
with: Delong, A.: Fast Fusion Moves for Multi-Model Estimation
with: Delong, A.: Globally optimal segmentation of multi-region objects
with: Delong, A.: Integral Solution to Surface Evolution PDEs Via Geo-cuts, An
with: Delong, A.: Interactive Segmentation with Super-Labels
with: Delong, A.: Local Submodularization for Binary Pairwise Energies
with: Delong, A.: Minimizing Energies with Hierarchical Costs
with: Delong, A.: Recursive MDL via graph cuts: Application to segmentation
with: Delong, A.: Scalable graph-cut algorithm for N-D grids, A
with: Delong, A.: Segmentation with Non-linear Regional Constraints via Line...
with: Delong, A.: Submodularization for Binary Pairwise Energies
with: Delong, A.: What Metrics Can Be Approximated by Geo-Cuts, Or Global Op...
with: Djelouah, A.: Normalized Cut Loss for Weakly-Supervised CNN Segmentation
with: Djelouah, A.: On Regularized Losses for Weakly-supervised CNN Segmenta...
with: Drangova, M.: Confluent Vessel Trees with Accurate Bifurcations
with: Drangova, M.: Divergence Prior and Vessel-Tree Reconstruction
with: Drangova, M.: Thin Structure Estimation with Curvature Regularization
with: Funka Lea, G.: Graph Cuts and Efficient N-D Image Segmentation
with: Gorelick, L.: Adaptive and Move Making Auxiliary Cuts for Binary Pairw...
with: Gorelick, L.: Auxiliary Cuts for General Classes of Higher Order Funct...
with: Gorelick, L.: Convexity Shape Prior for Binary Segmentation
with: Gorelick, L.: Convexity Shape Prior for Segmentation
with: Gorelick, L.: Efficient Squared Curvature
with: Gorelick, L.: Fast Trust Region for Segmentation
with: Gorelick, L.: GrabCut in One Cut
with: Gorelick, L.: Interactive Segmentation with Super-Labels
with: Gorelick, L.: K-convexity Shape Priors for Segmentation
with: Gorelick, L.: Local Submodularization for Binary Pairwise Energies
with: Gorelick, L.: Minimizing Energies with Hierarchical Costs
with: Gorelick, L.: Recursive MDL via graph cuts: Application to segmentation
with: Gorelick, L.: Segmentation with Non-linear Regional Constraints via Li...
with: Gorelick, L.: Submodularization for Binary Pairwise Energies
with: He, Z.: Efficient Segmentation: Learning Downsampling Near Semantic Bo...
with: Huttenlocher, D.P.: Adaptive Bayesian Recognition in Tracking Rigid Ob...
with: Huttenlocher, D.P.: New Bayesian Framework for Object Recognition, A
with: Isack, H.: Efficient Optimization for Hierarchically-Structured Intera...
with: Isack, H.: Energy Based Multi-model Fitting & Matching for 3D Reco...
with: Isack, H.: Hedgehog Shape Priors for Multi-Object Segmentation
with: Isack, H.: K-convexity Shape Priors for Segmentation
with: Isack, H.: Volumetric Bias in Segmentation and Reconstruction: Secrets...
with: Isack, H.N.: Energy-Based Geometric Multi-model Fitting
with: Isack, H.N.: Fast Approximate Energy Minimization with Label Costs
with: Ivanov, D.: Oriented Visibility for Multiview Reconstruction
with: Jolly, M.P.: Demonstration of Segmentation with Interactive Graph Cuts
with: Jolly, M.P.: Interactive Graph Cuts for Optimal Boundary and Region Se...
with: Juan, O.: Active Graph Cuts
with: Juan, O.: Capacity Scaling for Graph Cuts in Vision
with: Kahl, F.: Guest Editorial: Energy Optimization Methods
with: Kehtarnavaz, N.: Image Segmentation Using Deep Learning: A Survey
with: Kolmogorov, V.: Applications of parametric maxflow in computer vision
with: Kolmogorov, V.: Computing geodesics and minimal surfaces via graph cuts
with: Kolmogorov, V.: Experimental Comparison of Min-Cut/Max-Flow Algorithms...
with: Kolmogorov, V.: Integral Solution to Surface Evolution PDEs Via Geo-cu...
with: Kolmogorov, V.: Partial Enumeration and Curvature Regularization
with: Kolmogorov, V.: What Metrics Can Be Approximated by Geo-Cuts, Or Globa...
with: Lempitsky, V.: From Photohulls to Photoflux Optimization
with: Lempitsky, V.: Global Optimization for Shape Fitting
with: Lempitsky, V.: Guest Editorial: Energy Optimization Methods
with: Lempitsky, V.: Oriented Visibility for Multiview Reconstruction
with: Li, S.: Convex Max-Flow Approach to Distribution-Based Figure-Ground S...
with: Lobacheva, E.: Joint Optimization of Segmentation and Color Clustering
with: Marin, D.: Beyond Gradient Descent for Regularized Segmentation Losses
with: Marin, D.: Confluent Vessel Trees with Accurate Bifurcations
with: Marin, D.: Divergence Prior and Vessel-Tree Reconstruction
with: Marin, D.: Efficient Segmentation: Learning Downsampling Near Semantic...
with: Marin, D.: Kernel Clustering: Density Biases and Solutions
with: Marin, D.: Kernel Cuts: Kernel and Spectral Clustering Meet Regulariza...
with: Marin, D.: Normalized Cut Meets MRF
with: Marin, D.: Robust Trust Region for Weakly Supervised Segmentation
with: Marin, D.: Secrets of GrabCut and Kernel K-Means
with: Marin, D.: Thin Structure Estimation with Curvature Regularization
with: Maza, M.M.: Divergence Prior and Vessel-Tree Reconstruction
with: Mehrani, P.: Superpixels and Supervoxels in an Energy Optimization Fra...
with: Minaee, S.: Image Segmentation Using Deep Learning: A Survey
with: Ng, K.: K-convexity Shape Priors for Segmentation
with: Nieuwenhuis, C.: Convexity Shape Prior for Binary Segmentation
with: Nieuwenhuis, C.: Convexity Shape Prior for Segmentation
with: Nieuwenhuis, C.: Efficient Squared Curvature
with: Oguz, I.: Efficient Optimization for Hierarchically-Structured Interac...
with: Olsson, C.: Curvature-based regularization for surface approximation
with: Olsson, C.: In Defense of 3D-Label Stereo
with: Olsson, C.: Partial Enumeration and Curvature Regularization
with: Olsson, C.: Volumetric Bias in Segmentation and Reconstruction: Secret...
with: Osokin, A.: Fast Approximate Energy Minimization with Label Costs
with: Perazzi, F.: Normalized Cut Loss for Weakly-Supervised CNN Segmentation
with: Perazzi, F.: On Regularized Losses for Weakly-supervised CNN Segmentat...
with: Plaza, A.: Image Segmentation Using Deep Learning: A Survey
with: Porikli, F.M.: Image Segmentation Using Deep Learning: A Survey
with: Punithakumar, K.: Convex Max-Flow Approach to Distribution-Based Figur...
with: Rother, C.: Applications of parametric maxflow in computer vision
with: Schmidt, F.R.: Efficient Shape Matching Via Graph Cuts
with: Schmidt, F.R.: Fast Trust Region for Segmentation
with: Schmidt, F.R.: Guest Editorial: Energy Optimization Methods
with: Schmidt, F.R.: Hausdorff Distance Constraint for Multi-surface Segment...
with: Schmidt, F.R.: Interactive Segmentation with Super-Labels
with: Schmidt, F.R.: Intrinsic Mean for Semi-metrical Shape Retrieval Via Gr...
with: Schmidt, F.R.: Segmentation with Non-linear Regional Constraints via L...
with: Schroers, C.: Normalized Cut Loss for Weakly-Supervised CNN Segmentation
with: Schroers, C.: On Regularized Losses for Weakly-supervised CNN Segmenta...
with: Shi, J.: Study on Convex Optimization Approaches to Image Fusion, A
with: Sonka, M.: Efficient Optimization for Hierarchically-Structured Intera...
with: Sonka, M.: Hedgehog Shape Priors for Multi-Object Segmentation
with: Tai, X.C.: Continuous Max-Flow Approach to Minimal Partitions with Lab...
with: Tai, X.C.: Continuous Max-Flow Approach to Potts Model, A
with: Tai, X.C.: Fast Continuous Max-Flow Approach to Non-convex Multi-label...
with: Tai, X.C.: Study on Convex Optimization Approaches to Image Fusion, A
with: Tang, M.: Beyond Gradient Descent for Regularized Segmentation Losses
with: Tang, M.: GrabCut in One Cut
with: Tang, M.: Kernel Clustering: Density Biases and Solutions
with: Tang, M.: Kernel Cuts: Kernel and Spectral Clustering Meet Regularizat...
with: Tang, M.: Normalized Cut Loss for Weakly-Supervised CNN Segmentation
with: Tang, M.: Normalized Cut Meets MRF
with: Tang, M.: On Regularized Losses for Weakly-supervised CNN Segmentation
with: Tang, M.: Pseudo-bound Optimization for Binary Energies
with: Tang, M.: Secrets of GrabCut and Kernel K-Means
with: Terzopoulos, D.: Image Segmentation Using Deep Learning: A Survey
with: Toeppe, E.: Efficient Squared Curvature
with: Toppe, E.: Efficient Shape Matching Via Graph Cuts
with: Toppe, E.: Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph ...
with: Tsai, S.: Efficient Segmentation: Learning Downsampling Near Semantic ...
with: Ulen, J.: In Defense of 3D-Label Stereo
with: Ulen, J.: Partial Enumeration and Curvature Regularization
with: Vajda, P.: Efficient Segmentation: Learning Downsampling Near Semantic...
with: Veksler, O.: Adaptive and Move Making Auxiliary Cuts for Binary Pairwi...
with: Veksler, O.: Convexity Shape Prior for Binary Segmentation
with: Veksler, O.: Convexity Shape Prior for Segmentation
with: Veksler, O.: Disparity Component Matching for Visual Correspondence
with: Veksler, O.: Efficient Optimization for Hierarchically-Structured Inte...
with: Veksler, O.: Efficient Squared Curvature
with: Veksler, O.: Fast Approximate Energy Minimization via Graph Cuts
with: Veksler, O.: Fast Fusion Moves for Multi-Model Estimation
with: Veksler, O.: GrabCut in One Cut
with: Veksler, O.: Graph cuts in vision and graphics: Theories and applicati...
with: Veksler, O.: Hedgehog Shape Priors for Multi-Object Segmentation
with: Veksler, O.: Interactive Segmentation with Super-Labels
with: Veksler, O.: Joint Optimization of Segmentation and Color Clustering
with: Veksler, O.: K-convexity Shape Priors for Segmentation
with: Veksler, O.: Local Submodularization for Binary Pairwise Energies
with: Veksler, O.: Markov Random Fields with Efficient Approximations
with: Veksler, O.: Minimizing Energies with Hierarchical Costs
with: Veksler, O.: Recursive MDL via graph cuts: Application to segmentation
with: Veksler, O.: Semiautomatic Segmentation with Compact Shape Prior
with: Veksler, O.: Sparse Non-local CRF
with: Veksler, O.: Submodularization for Binary Pairwise Energies
with: Veksler, O.: Superpixels and Supervoxels in an Energy Optimization Fra...
with: Veksler, O.: Variable Neighborhood Approach to Early Vision, A
with: Veksler, O.: Variable Window Approach to Early Vision, A
with: Ward, A.: Segmentation with Non-linear Regional Constraints via Line-S...
with: Yang, F.: Efficient Segmentation: Learning Downsampling Near Semantic ...
with: Yuan, J.: Continuous Max-Flow Approach to Minimal Partitions with Labe...
with: Yuan, J.: Continuous Max-Flow Approach to Potts Model, A
with: Yuan, J.: Convex Max-Flow Approach to Distribution-Based Figure-Ground...
with: Yuan, J.: Fast Continuous Max-Flow Approach to Non-convex Multi-labeli...
with: Yuan, J.: Study on Convex Optimization Approaches to Image Fusion, A
with: Yuan, J.: TV-based Multi-label Image Segmentation with Label Cost Prior
with: Zabih, R.: Disparity Component Matching for Visual Correspondence
with: Zabih, R.: Fast Approximate Energy Minimization via Graph Cuts
with: Zabih, R.: Markov Random Fields with Efficient Approximations
with: Zabih, R.: Variable Neighborhood Approach to Early Vision, A
with: Zabih, R.: Variable Window Approach to Early Vision, A
with: Zavadsky, V.: Semiautomatic Segmentation with Compact Shape Prior
with: Zhang, Z.W.: Confluent Vessel Trees with Accurate Bifurcations
with: Zhang, Z.W.: Divergence Prior and Vessel-Tree Reconstruction
with: Zhong, Y.: Thin Structure Estimation with Curvature Regularization
196 for Boykov, Y.Y.