Dmitrij Schlesinger
Dmitrij Schlesinger
Bestätigte E-Mail-Adresse bei tu-dresden.de
Titel
Zitiert von
Zitiert von
Jahr
Transforming an arbitrary minsum problem into a binary one
D Schlesinger, B Flach
TU, Fak. Informatik, 2006
1272006
Exact solution of permuted submodular minsum problems
D Schlesinger
International Workshop on Energy Minimization Methods in Computer Vision and …, 2007
642007
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
352015
Unifying registration and segmentation for multi-sensor images
B Flach, E Kask, D Schlesinger, A Skulish
Joint Pattern Recognition Symposium, 190-197, 2002
262002
Joint training of generic CNN-CRF models with stochastic optimization
A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother
Asian Conference on Computer Vision, 221-236, 2016
22*2016
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, 613-621, 2015
192015
Combining shape priors and MRF-segmentation
B Flach, D Schlesinger
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2008
142008
Gibbs probability distributions for stereo reconstruction
D Schlesinger
Joint Pattern Recognition Symposium, 394-401, 2003
132003
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
122015
Strukturelle ansätze für die stereorekonstruktion
D Shlezinger
102005
A higher order MRF-model for stereo-reconstruction
D Schlesinger, B Flach, A Shekhovtsov
Joint Pattern Recognition Symposium, 440-446, 2004
82004
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
Modelling composite shapes by Gibbs random fields.
B Flach, D Schlesinger
CVPR, 2177-2182, 2011
72011
A probabilistic segmentation scheme
D Schlesinger, B Flach
Joint Pattern Recognition Symposium, 183-192, 2008
72008
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
62017
Extraction of filled-in data from colour forms
I Aksak, C Feist, V Kiiko, R Knoefel, V Matsello, V Oganovskij, ...
International Conference on Computer Analysis of Images and Patterns, 98-105, 1997
51997
General search algorithms for energy minimization problems
D Schlesinger
International Workshop on Energy Minimization Methods in Computer Vision and …, 2009
42009
Template based gibbs probability distributions for texture modeling and segmentation
D Schlesinger
Joint Pattern Recognition Symposium, 31-40, 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, ...
International Conference on Computer Analysis of Images and Patterns, 551-558, 1997
31997
Joint shape classification and labeling of 3-d objects using the energy minimization framework
A Zouhar, D Schlesinger, S Fuchs
German Conference on Pattern Recognition, 71-80, 2013
22013
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