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Yuri Boykov

26 papers · 2012–2025 · 4 venues · across top CS/AI venues

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Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (13) 🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ† Keyword Champion (8) 🧭 Keyword Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (123) 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Venues

CVPR (15) ICCV (8) ECCV (2) NeurIPS (1)

Top co-authors

Olga Veksler (10) Dmitrii Marin (7) Lena Gorelick (7) Ismail Ben Ayed (6) Hossam Isack (5) Meng Tang (5) Maria Drangova (3) Carl Olsson (3) Zhongwen Zhang (3) Andrew Delong (2)

Research topics

Computer Vision (21) Machine Learning (18) Processing (17) Mathematics & Optimization (15) Optimization (14) Optimization & Theory (11) Analysis (9) Core Methods (9) Learning Types Β· Machine Learning (5) Deep Learning (4) Domain-Specific (3) Learning Types Β· Deep Learning (3) Application Areas (2) Core AI (2) Artificial Intelligence (1)

Keywords

image segmentation (9) energy minimization (8) graph cut (6) semantic segmentation (5) weakly supervised learning (4) curvature regularization (4) submodular optimization (3) energy optimization (3) combinatorial optimization (3) trust region (3) conditional random field (2) computer vision (2) trust region method (2) kl divergence (2) probabilistic model (2) loss function (2) stereo matching (2) 3d reconstruction (2) unsupervised learning (2) markov random field (2)

Papers

Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation CVPR 2025 Sparse Non-Local CRF CVPR 2022 Confluent Vessel Trees With Accurate Bifurcations CVPR 2021 Robust Trust Region for Weakly Supervised Segmentation ICCV 2021 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 Divergence Prior and Vessel-Tree Reconstruction CVPR 2019 Efficient Segmentation: Learning Downsampling Near Semantic Boundaries ICCV 2019 K-convexity shape priors for segmentation ECCV 2018 Normalized Cut Loss for Weakly-Supervised CNN Segmentation CVPR 2018 On Regularized Losses for Weakly-supervised CNN Segmentation ECCV 2018 Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies CVPR 2017 Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS) CVPR 2017 Hedgehog Shape Priors for Multi-Object Segmentation CVPR 2016 Joint Optimization of Segmentation and Color Clustering ICCV 2015 Secrets of GrabCut and Kernel K-Means ICCV 2015 Thin Structure Estimation With Curvature Regularization ICCV 2015 Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015 Efficient Squared Curvature CVPR 2014 Energy Based Multi-model Fitting & Matching for 3D Reconstruction CVPR 2014 Submodularization for Binary Pairwise Energies CVPR 2014 Auxiliary Cuts for General Classes of Higher Order Functionals CVPR 2013 Fast Trust Region for Segmentation CVPR 2013 GrabCut in One Cut ICCV 2013 In Defense of 3D-Label Stereo CVPR 2013 Partial Enumeration and Curvature Regularization ICCV 2013 Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NeurIPS 2012