Dmitrij Schlesinger

Affiliations:
  • Dresden University of Technology, Computer Vision Lab, Germany


According to our database1, Dmitrij Schlesinger authored at least 24 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Symmetric Equilibrium Learning of VAEs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022
VAE Approximation Error: ELBO and Exponential Families.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Enhancing Fairness of Visual Attribute Predictors.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
VAE Approximation Error: ELBO and Conditional Independence.
CoRR, 2021

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

Crowd sourcing image segmentation with iaSTAPLE.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Implicit Modeling - A Generalization of Discriminative and Generative Approaches.
CoRR, 2016

Joint Training of Generic CNN-CRF Models with Stochastic Optimization.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation.
CoRR, 2015

Inferring M-Best Diverse Labelings in a Single One.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013
A Continuous Shape Prior for MRF-Based Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
A Real-Time MRF Based Approach for Binary Segmentation.
Proceedings of the Pattern Recognition, 2012

2011
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order
CoRR, 2011

Modelling composite shapes by Gibbs random fields.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation.
Proceedings of the Pattern Recognition, 2010

2009
General Search Algorithms for Energy Minimization Problems.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
Combining Shape Priors and MRF-Segmentation.
Proceedings of the Structural, 2008

A Probabilistic Segmentation Scheme.
Proceedings of the Pattern Recognition, 2008

2007
Exact Solution of Permuted Submodular MinSum Problems.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

2006
Template Based Gibbs Probability Distributions for Texture Modeling and Segmentation.
Proceedings of the Pattern Recognition, 2006

2004
A Higher Order MRF-Model for Stereo-Reconstruction.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Gibbs Probability Distributions for Stereo Reconstruction.
Proceedings of the Pattern Recognition, 2003

2002
Unifying Registration and Segmentation for Multi-sensor Images.
Proceedings of the Pattern Recognition, 2002


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