Bogdan Savchynskyy

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 42

Top Topics

Graphical Models

Energy Minimization

Coordinate Ascent

Top Venues

Publications

Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI (2024)
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter, Florian Bernard, Bogdan Savchynskyy
Unlocking the Potential of Operations Research for Multi-Graph Matching. CoRR (2024)
Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR (2023)
Tomás Dlask, Bogdan Savchynskyy
Relative-Interior Solution for (Incomplete) Linear Assignment Problem with Applications to Quadratic Assignment Problem. CoRR (2023)
Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR (2022)
Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas
Structured Prediction Problem Archive. CoRR (2022)
Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) (2022)
Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
Fusion Moves for Graph Matching. ICCV (2021)
Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
Fusion Moves for Graph Matching. CoRR (2021)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR (2020)
Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR (2020)
Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. CoRR (2020)
Bogdan Savchynskyy
Discrete graphical models - an optimization perspective. CoRR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS (2020)
Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS (2020)
Bogdan Savchynskyy
Discrete Graphical Models - An Optimization Perspective. Found. Trends Comput. Graph. Vis. 11 (3-4) (2019)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) (2018)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. AAAI (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR (2017)
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
InstanceCut: From Edges to Instances with MultiCut. CVPR (2017)
Nico Schertler, Bogdan Savchynskyy, Stefan Gumhold
Towards Globally Optimal Normal Orientations for Large Point Clouds. Comput. Graph. Forum 36 (1) (2017)
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR (2017)
Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CVPR (2017)
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR (2016)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS (2016)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR (2016)
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother
Joint Training of Generic CNN-CRF Models with Stochastic Optimization. ACCV (2) (2016)
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
InstanceCut: from Edges to Instances with MultiCut. CoRR (2016)
Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CoRR (2016)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR (2016)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56 (2) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM (2015)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum persistency via iterative relaxed inference with graphical models. CVPR (2015)
Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother
Inferring M-Best Diverse Labelings in a Single One. ICCV (2015)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR (2015)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115 (2) (2015)
Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy
M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS (2015)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR (2014)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR (2014)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR (2014)
Bogdan Savchynskyy, Stefan Schmidt
Getting Feasible Variable Estimates from Infeasible Ones: MRF Local Polytope Study. ICCV Workshops (2013)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality via Iterative Pruning for the Potts Model. SSVM (2013)
Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS (2013)
Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing CoRR (2012)
Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr
A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR (2012)
Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI (2012)
Bogdan Savchynskyy, Stefan Schmidt
Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study CoRR (2012)
Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR (2011)
Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR (2011)
Vojtech Franc, Bogdan Savchynskyy
Discriminative Learning of Max-Sum Classifiers. J. Mach. Learn. Res. 9 (2008)
Bogdan Savchynskyy, Olexander Kamotskyy
Character templates learning for textual images recognition as an example of learning in structural recognition. DIAL (2006)