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Dmitrij Schlesinger
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- affiliation: Dresden University of Technology, Computer Vision Lab, Germany
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2020 – today
- 2024
- [c19]Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov:
Symmetric Equilibrium Learning of VAEs. AISTATS 2024: 3214-3222 - 2023
- [i8]Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov:
Symmetric Equilibrium Learning of VAEs. CoRR abs/2307.09883 (2023) - 2022
- [c18]Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold:
Enhancing Fairness of Visual Attribute Predictors. ACCV (6) 2022: 151-167 - [c17]Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach:
VAE Approximation Error: ELBO and Exponential Families. ICLR 2022 - [i7]Tobias Hänel, Nishant Kumar
, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold:
Enhancing Fairness of Visual Attribute Predictors. CoRR abs/2207.05727 (2022) - 2021
- [i6]Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach:
VAE Approximation Error: ELBO and Conditional Independence. CoRR abs/2102.09310 (2021)
2010 – 2019
- 2017
- [c16]Dmitrij Schlesinger, Florian Jug
Crowd sourcing image segmentation with iaSTAPLE. ISBI 2017: 401-405 - [i5]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller:
Crowd Sourcing Image Segmentation with iaSTAPLE. CoRR abs/1702.06461 (2017) - [i4]Dmitrij Schlesinger:
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models. CoRR abs/1710.11052 (2017) - 2016
- [c15]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 - [i3]Dmitrij Schlesinger, Carsten Rother:
Implicit Modeling - A Generalization of Discriminative and Generative Approaches. CoRR abs/1612.01397 (2016) - 2015
- [c14]Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother:
Inferring M-Best Diverse Labelings in a Single One. ICCV 2015: 1814-1822 - [i2]Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. CoRR abs/1511.05067 (2015) - 2013
- [c13]Alexander Zouhar, Dmitrij Schlesinger, Siegfried Fuchs:
Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework. GCPR 2013: 71-80 - [c12]Dmitrij Schlesinger:
A Continuous Shape Prior for MRF-Based Segmentation. EMMCVPR 2013: 350-361 - 2012
- [c11]Dmitrij Schlesinger:
A Real-Time MRF Based Approach for Binary Segmentation. DAGM/OAGM Symposium 2012: 387-396 - 2011
- [c10]Boris Flach, Dmitrij Schlesinger:
Modelling composite shapes by Gibbs random fields. CVPR 2011: 2177-2182 - [i1]Boris Flach, Dmitrij Schlesinger:
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order. CoRR abs/1107.2807 (2011) - 2010
- [c9]Denis Kirmizigül, Dmitrij Schlesinger:
Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation. DAGM-Symposium 2010: 323-332
2000 – 2009
- 2009
- [c8]Dmitrij Schlesinger:
General Search Algorithms for Energy Minimization Problems. EMMCVPR 2009: 84-97 - 2008
- [c7]Dmitrij Schlesinger, Boris Flach:
A Probabilistic Segmentation Scheme. DAGM-Symposium 2008: 183-192 - [c6]Boris Flach, Dmitrij Schlesinger:
Combining Shape Priors and MRF-Segmentation. SSPR/SPR 2008: 177-186 - 2007
- [c5]Dmitrij Schlesinger:
Exact Solution of Permuted Submodular MinSum Problems. EMMCVPR 2007: 28-38 - 2006
- [c4]Dmitrij Schlesinger:
Template Based Gibbs Probability Distributions for Texture Modeling and Segmentation. DAGM-Symposium 2006: 31-40 - 2004
- [c3]Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov
A Higher Order MRF-Model for Stereo-Reconstruction. DAGM-Symposium 2004: 440-446 - 2003
- [c2]Dmitrij Schlesinger:
Gibbs Probability Distributions for Stereo Reconstruction. DAGM-Symposium 2003: 394-401 - 2002
- [c1]Boris Flach, Eeri Kask, Dmitrij Schlesinger, Andriy Skulish:
Unifying Registration and Segmentation for Multi-sensor Images. DAGM-Symposium 2002: 190-197
Coauthor Index
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