Bogdan Savchynskyy

60 papers A* 13A 3Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Relative-interior solution for the (incomplete) linear assignment problem with applications to the quadratic assignment problem. Ann. Math. Artif. Intell. Tomás Dlask, Bogdan Savchynskyy
2025	J	`jnl`	Fully Unsupervised Annotation of C. Elegans. CoRR Christoph Karg, Sebastian Stricker, Lisa Hutschenreiter, Bogdan Savchynskyy, Dagmar Kainmueller
2025	J	`jnl`	Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption. CoRR Johann-Friedrich Feiden, Tim Küchler, Denis Zavadski, Bogdan Savchynskyy, Carsten Rother
2025	A*	`conf`	Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging. CVPR Max Kahl, Sebastian Stricker, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Bogdan Savchynskyy
2024	A*	`conf`	Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy
2024	J	`jnl`	Unlocking the Potential of Operations Research for Multi-Graph Matching. CoRR Max Kahl, Sebastian Stricker, Lisa Hutschenreiter, Florian Bernard, Bogdan Savchynskyy
2023	J	`jnl`	Relative-Interior Solution for (Incomplete) Linear Assignment Problem with Applications to Quadratic Assignment Problem. CoRR Tomás Dlask, Bogdan Savchynskyy
2023	J	`jnl`	Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy
2022	—	`conf`	A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
2022	J	`jnl`	A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
2022	J	`jnl`	Structured Prediction Problem Archive. CoRR Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas
2021	A*	`conf`	Fusion Moves for Graph Matching. ICCV Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
2021	J	`jnl`	Fusion Moves for Graph Matching. CoRR Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
2020	A	`conf`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	J	`jnl`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	J	`jnl`	Discrete graphical models - an optimization perspective. CoRR Bogdan Savchynskyy
2020	J	`jnl`	Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. CoRR Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
2020	J	`jnl`	MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2020	A	`conf`	Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2020	J	`jnl`	Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2019	J	`jnl`	Discrete Graphical Models - An Optimization Perspective. Found. Trends Comput. Graph. Vis. Bogdan Savchynskyy
2018	J	`jnl`	Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
2018	A*	`conf`	Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. AAAI Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
2018	—	`conf`	MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2018	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2017	A*	`conf`	A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CVPR Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
2017	A*	`conf`	A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy
2017	A*	`conf`	Global Hypothesis Generation for 6D Object Pose Estimation. CVPR Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
2017	A*	`conf`	InstanceCut: From Edges to Instances with MultiCut. CVPR Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
2017	J	`jnl`	Towards Globally Optimal Normal Orientations for Large Point Clouds. Comput. Graph. Forum Nico Schertler, Bogdan Savchynskyy, Stefan Gumhold
2016	J	`jnl`	A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CoRR Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
2016	J	`jnl`	A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
2016	J	`jnl`	Global Hypothesis Generation for 6D Object Pose Estimation. CoRR Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
2016	J	`jnl`	InstanceCut: from Edges to Instances with MultiCut. CoRR Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
2016	—	`conf`	Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2016	J	`jnl`	Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2016	—	`conf`	Joint Training of Generic CNN-CRF Models with Stochastic Optimization. ACCV (2) Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2015	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 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
2015	A*	`conf`	Inferring M-Best Diverse Labelings in a Single One. ICCV Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother
2015	—	`conf`	M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy
2015	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2015	A*	`conf`	Maximum persistency via iterative relaxed inference with graphical models. CVPR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2015	—	`conf`	Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2014	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR 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
2014	A*	`conf`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2014	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2013	—	`conf`	Getting Feasible Variable Estimates from Infeasible Ones: MRF Local Polytope Study. ICCV Workshops Bogdan Savchynskyy, Stefan Schmidt
2013	—	`conf`	Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr
2013	—	`conf`	Partial Optimality via Iterative Pruning for the Potts Model. SSVM Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2012	A*	`conf`	A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr
2012	J	`jnl`	Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing CoRR Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr
2012	A	`conf`	Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr
2012	J	`jnl`	Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study CoRR Bogdan Savchynskyy, Stefan Schmidt
2011	A*	`conf`	A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
2011	—	`conf`	Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2008	J	`jnl`	Discriminative Learning of Max-Sum Classifiers. J. Mach. Learn. Res. Vojtech Franc, Bogdan Savchynskyy
2006	—	`conf`	Character templates learning for textual images recognition as an example of learning in structural recognition. DIAL Bogdan Savchynskyy, Olexander Kamotskyy