Kai Krajsek

According to our database, Kai Krajsek authored at least 25 papers between 2004 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

JUWELS Booster - A Supercomputer for Large-Scale AI Research.

Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2020

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent.

Alper Yegenoglu, Kai Krajsek, Sandra Díaz-Pier, Michael Herty

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.

Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2016

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.

Kai Krajsek, Marion I. Menzel, Hanno Scharr

Int. J. Comput. Vis., 2016

An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering.

Vasileios Zografos, Kai Krajsek, Bjoern H. Menze

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Probabilistic models and estimation: theoretical concepts for variational approaches to computer vision.

Kai Krajsek

PhD thesis, 2015

2014

Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance.

Kai Krajsek, Christian Heinemann, Hanno Scharr

Proceedings of the VISAPP 2014, 2014

Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion.

Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr

Proceedings of the VISAPP 2014, 2014

2012

A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI).

Kai Krajsek, Hanno Scharr

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Short Introduction to Diffusion-Like Methods.

Hanno Scharr, Kai Krajsek

Proceedings of the Mathematical Methods for Signal and Image Analysis and Representation, 2012

2011

An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation.

Kai Krajsek, Ines Dedovic, Hanno Scharr

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010

Diffusion filtering without parameter tuning: Models and inference tools.

Kai Krajsek, Hanno Scharr

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Riemannian Bayesian estimation of diffusion tensor images.

Kai Krajsek, Marion I. Menzel, Hanno Scharr

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Building Blocks for Computer Vision with Stochastic Partial Differential Equations.

Tobias Preusser, Hanno Scharr, Kai Krajsek, Robert M. Kirby

Int. J. Comput. Vis., 2008

Riemannian Anisotropic Diffusion for Tensor Valued Images.

Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr

Proceedings of the Computer Vision, 2008

Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation.

Kai Krajsek, Rudolf Mester, Hanno Scharr

Proceedings of the Pattern Recognition, 2008

2007

Highly Accurate Orientation Estimation using Steerable Filters.

Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester

Proceedings of the International Conference on Image Processing, 2007

Bayesian Model Selection for Optical Flow Estimation.

Kai Krajsek, Rudolf Mester

Proceedings of the Pattern Recognition, 2007

View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results.

Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester

Proceedings of the Pattern Recognition, 2007

2006

A Unified Theory for Steerable and Quadrature Filters.

Kai Krajsek, Rudolf Mester

Proceedings of the Advances in Computer Graphics and Computer Vision, 2006

An unified theory for steerable and quadrature filters.

Kai Krajsek, Rudolf Mester

Proceedings of the VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2006

A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods.

Kai Krajsek, Rudolf Mester

Proceedings of the International Conference on Image Processing, 2006

The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images.

Kai Krajsek, Rudolf Mester

Proceedings of the Pattern Recognition, 2006

2005

Signal and Noise Adapted Filters for Differential Motion Estimation.

Kai Krajsek, Rudolf Mester

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004

Wiener-Optimized Discrete Filters for Differential Motion Estimation.

Kai Krajsek, Rudolf Mester

Proceedings of the Complex Motion, First International Workshop, 2004