Savchynskyy, Bogdan

23 publications

CVPR 2025 Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging Max Kahl, Sebastian Stricker, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Bogdan Savchynskyy

AAAI 2024 Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy

ECCV 2022 A Comparative Study of Graph Matching Algorithms in Computer Vision Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy

ICCV 2021 Fusion Moves for Graph Matching Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy

AISTATS 2020 A Primal-Dual Solver for Large-Scale Tracking-by-Assignment Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy

AISTATS 2020 Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

AAAI 2018 Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation Stefan Haller, Paul Swoboda, Bogdan Savchynskyy

ECCV 2018 MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

CVPR 2017 A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems Paul Swoboda, Jan Kuske, Bogdan Savchynskyy

CVPR 2017 A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmuller, Bogdan Savchynskyy

CVPR 2017 Global Hypothesis Generation for 6d Object Pose Estimation Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother

CVPR 2017 InstanceCut: From Edges to Instances with MultiCut Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother

NeurIPS 2016 Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

ICCV 2015 Inferring M-Best Diverse Labelings in a Single One Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry Vetrov, Carsten Rother

NeurIPS 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond Alexander Kirillov, Dmytro Shlezinger, Dmitry P Vetrov, Carsten Rother, Bogdan Savchynskyy

CVPR 2015 Maximum Persistency via Iterative Relaxed Inference with Graphical Models Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy

CVPR 2014 Partial Optimality by Pruning for MAP-Inference with General Graphical Models Paul Swoboda, Bogdan Savchynskyy, Jorg H. Kappes, Christoph Schnorr

ICCVW 2013 Getting Feasible Variable Estimates from Infeasible Ones: MRF Local Polytope Study Bogdan Savchynskyy, Stefan Schmidt

NeurIPS 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr

CVPR 2012 A Bundle Approach to Efficient MAP-Inference by Lagrangian Relaxation Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr

UAI 2012 Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr

CVPR 2011 A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

JMLR 2008 Discriminative Learning of Max-Sum Classifiers Vojtěch Franc, Bogdan Savchynskyy