Unifying Registration and Segmentation for Multi-sensor Images. - Boris Flach; Eeri Kask; Dmitrij Schlesinger; Andriy Skulish (DAGM-Symposium, 2002)

Gibbs Probability Distributions for Stereo Reconstruction. - Dmitrij Schlesinger (DAGM-Symposium, 2003)

A Higher Order MRF-Model for Stereo-Reconstruction. - Dmitrij Schlesinger; Boris Flach; Alexander Shekhovtsov (DAGM-Symposium, 2004)

Template Based Gibbs Probability Distributions for Texture Modeling and Segmentation. - Dmitrij Schlesinger (DAGM-Symposium, 2006)

Exact Solution of Permuted Submodular MinSum Problems. - Dmitrij Schlesinger (EMMCVPR, 2007)

A Probabilistic Segmentation Scheme. - Dmitrij Schlesinger; Boris Flach (DAGM-Symposium, 2008)

Combining Shape Priors and MRF-Segmentation. - Boris Flach; Dmitrij Schlesinger (SSPR/SPR, 2008)

General Search Algorithms for Energy Minimization Problems. - Dmitrij Schlesinger (EMMCVPR, 2009)

Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation. - Denis Kirmizigül; Dmitrij Schlesinger (DAGM-Symposium, 2010)

Modelling composite shapes by Gibbs random fields. - Boris Flach; Dmitrij Schlesinger (CVPR, 2011)

Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order - Boris Flach; Dmitrij Schlesinger (CoRR, 2011)

A Real-Time MRF Based Approach for Binary Segmentation. - Dmitrij Schlesinger (DAGM/OAGM Symposium, 2012)

Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework. - Alexander Zouhar; Dmitrij Schlesinger; Siegfried Fuchs (GCPR, 2013)

A Continuous Shape Prior for MRF-Based Segmentation. - Dmitrij Schlesinger (EMMCVPR, 2013)

Inferring M-Best Diverse Labelings in a Single One. - Alexander Kirillov; Bogdan Savchynskyy; Dmitrij Schlesinger; Dmitry P. Vetrov; Carsten Rother (ICCV, 2015)

Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. - Alexander Kirillov; Dmitrij Schlesinger; Walter Forkel; Anatoly Zelenin; Shuai Zheng 001; Philip H. S. Torr; Carsten Rother (CoRR, 2015)

Joint Training of Generic CNN-CRF Models with Stochastic Optimization. - Alexander Kirillov; Dmitrij Schlesinger; Shuai Zheng 001; Bogdan Savchynskyy; Philip H. S. Torr; Carsten Rother (ACCV (2), 2016)

Implicit Modeling - A Generalization of Discriminative and Generative Approaches. - Dmitrij Schlesinger; Carsten Rother (CoRR, 2016)

Crowd sourcing image segmentation with iaSTAPLE. - Dmitrij Schlesinger; Florian Jug; Gene Myers; Carsten Rother; Dagmar Kainmueller (ISBI, 2017)

A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models. - Dmitrij Schlesinger (CoRR, 2017)

VAE Approximation Error: ELBO and Conditional Independence. - Dmitrij Schlesinger; Alexander Shekhovtsov; Boris Flach (CoRR, 2021)

Enhancing Fairness of Visual Attribute Predictors. - Tobias Hänel; Nishant Kumar 005; Dmitrij Schlesinger; Mengze Li 002; Erdem Ünal; Abouzar Eslami; Stefan Gumhold (ACCV (6), 2022)

VAE Approximation Error: ELBO and Exponential Families. - Alexander Shekhovtsov; Dmitrij Schlesinger; Boris Flach (ICLR, 2022)

Symmetric Equilibrium Learning of VAEs. - Boris Flach; Dmitrij Schlesinger; Alexander Shekhovtsov (AISTATS, 2024)