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Carsten Rother
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Publications
- 2025
[c159]Max Kahl, Sebastian Stricker, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Bogdan Savchynskyy:
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging. CVPR 2025: 11569-11578- 2024
[c158]Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy:
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI 2024: 5252-5260- 2023
[i69]Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy:
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR abs/2307.08930 (2023)- 2022
[c151]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: 636-653
[i64]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 abs/2207.00291 (2022)- 2021
[c145]Lisa Hutschenreiter
, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. ICCV 2021: 6250-6259
[i62]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. CoRR abs/2101.12085 (2021)- 2020
[c142]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: 2539-2549
[c141]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS 2020: 2775-2785
[i52]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 abs/2004.06375 (2020)
[i51]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR abs/2004.07715 (2020)
[i50]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR abs/2004.08227 (2020)- 2018
[j24]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): 37-52 (2018)
[c116]Siddharth Tourani, Alexander Shekhovtsov
, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) 2018: 264-281- 2017
[c113]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR 2017: 115-124
[c109]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: 7062-7071
[c108]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres
, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: From Edges to Instances with MultiCut. CVPR 2017: 7322-7331- 2016
[c100]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: 221-236
[c92]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS 2016: 334-342
[i20]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR abs/1606.07015 (2016)
[i14]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: from Edges to Instances with MultiCut. CoRR abs/1611.08272 (2016)
[i12]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR abs/1612.02287 (2016)
[i10]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR abs/1612.05476 (2016)- 2015
[j21]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): 155-184 (2015)
[c86]Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother:
Inferring M-Best Diverse Labelings in a Single One. ICCV 2015: 1814-1822
[c82]Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy:
M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS 2015: 613-621- 2014
[i4]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 abs/1404.0533 (2014)

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last updated on 2025-10-28 22:54 CET by the dblp team
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