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Dmitrij Schlesinger
Dmitrij Schlesinger
Verified email at tu-dresden.de
Title
Cited by
Cited by
Year
Transforming an arbitrary minsum problem into a binary one
D Schlesinger, B Flach
TU, Fak. Informatik, 2006
1432006
Exact solution of permuted submodular minsum problems
D Schlesinger
Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th …, 2007
682007
Inferring M-best diverse labelings in a single one
A Kirillov, B Savchynskyy, D Schlesinger, D Vetrov, C Rother
Proceedings of the IEEE International Conference on Computer Vision, 1814-1822, 2015
452015
Unifying registration and segmentation for multi-sensor images
B Flach, E Kask, D Schlesinger, A Skulish
Pattern Recognition: 24th DAGM Symposium Zurich, Switzerland, September 16 …, 2002
302002
Joint training of generic CNN-CRF models with stochastic optimization
A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
27*2017
M-best-diverse labelings for submodular energies and beyond
A Kirillov, D Shlezinger, DP Vetrov, C Rother, B Savchynskyy
Advances in Neural Information Processing Systems 28, 2015
212015
Efficient likelihood learning of a generic CNN-CRF model for semantic segmentation
A Kirillov, D Schlesinger, W Forkel, A Zelenin, S Zheng, P Torr, C Rother
arXiv preprint arXiv:1511.05067, 2015
202015
Gibbs probability distributions for stereo reconstruction
D Schlesinger
Pattern Recognition: 25th DAGM Symposium, Magdeburg, Germany, September 10 …, 2003
162003
Combining shape priors and MRF-segmentation
B Flach, D Schlesinger
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2008
142008
Crowd sourcing image segmentation with iastaple
D Schlesinger, F Jug, G Myers, C Rother, D Kainmüller
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
102017
Strukturelle ansätze für die stereorekonstruktion
D Shlezinger
102005
A higher order MRF-model for stereo-reconstruction
D Schlesinger, B Flach, A Shekhovtsov
Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 …, 2004
92004
Modelling composite shapes by Gibbs random fields.
B Flach, D Schlesinger
CVPR, 2177-2182, 2011
82011
Best labeling search for a class of higher order gibbs models
B Flach, D Schlesinger
PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2004
82004
A probabilistic segmentation scheme
D Schlesinger, B Flach
Lecture Notes in Computer Science 5096, 183-192, 2008
72008
General search algorithms for energy minimization problems
D Schlesinger
Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009
42009
Extraction of filled-in data from colour forms
I Aksak, C Feist, V Kiiko, R Knoefel, V Matsello, V Oganovskij, ...
Computer Analysis of Images and Patterns: 7th International Conference, CAIP …, 1997
41997
VAE Approximation Error: ELBO and Exponential Families
A Shekhovtsov, D Schlesinger, B Flach
arXiv preprint arXiv:2102.09310, 2021
3*2021
Template based gibbs probability distributions for texture modeling and segmentation
D Schlesinger
Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14 …, 2006
32006
Detection of the objects with given shape on the grey-valued pictures
I Aksak, C Feist, V Kijko, R Knoefel, V Matsello, V Oganovskij, ...
CAIP, 551-558, 1997
31997
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