Kai Krajsek

ORCID

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 7

Top Venues

Goethe University Frankfurt am Main (PHD)

Education History

Goethe University Frankfurt am Main

PHD

Publications

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
JUWELS Booster - A Supercomputer for Large-Scale AI Research. CoRR (2021)
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
JUWELS Booster - A Supercomputer for Large-Scale AI Research. ISC Workshops (2021)
Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. IEEE BigData (2020)
Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. CoRR (2020)
Alper Yegenoglu, Kai Krajsek, Sandra Díaz-Pier, Michael Herty
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. LOD (2) (2020)
Vasileios Zografos, Kai Krajsek, Bjoern H. Menze
An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering. ACCV (1) (2016)
Kai Krajsek, Marion I. Menzel, Hanno Scharr
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. Int. J. Comput. Vis. 120 (3) (2016)
Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. VISAPP (1) (2014)
Kai Krajsek, Christian Heinemann, Hanno Scharr
Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance. VISAPP (3) (2014)
Kai Krajsek, Hanno Scharr
A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI). CVPR (2012)
Kai Krajsek, Ines Dedovic, Hanno Scharr
An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation. DAGM-Symposium (2011)
Kai Krajsek, Hanno Scharr
Diffusion filtering without parameter tuning: Models and inference tools. CVPR (2010)
Kai Krajsek, Marion I. Menzel, Hanno Scharr
Riemannian Bayesian estimation of diffusion tensor images. ICCV (2009)
Kai Krajsek, Rudolf Mester, Hanno Scharr
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. DAGM-Symposium (2008)
Tobias Preusser, Hanno Scharr, Kai Krajsek, Robert M. Kirby
Building Blocks for Computer Vision with Stochastic Partial Differential Equations. Int. J. Comput. Vis. 80 (3) (2008)
Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr
Riemannian Anisotropic Diffusion for Tensor Valued Images. ECCV (4) (2008)
Kai Krajsek, Rudolf Mester
Bayesian Model Selection for Optical Flow Estimation. DAGM-Symposium (2007)
Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester
View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results. DAGM-Symposium (2007)
Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester
Highly Accurate Orientation Estimation using Steerable Filters. ICIP (5) (2007)
Kai Krajsek, Rudolf Mester
A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods. ICIP (2006)
Kai Krajsek, Rudolf Mester
The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images. DAGM-Symposium (2006)
Kai Krajsek, Rudolf Mester
An unified theory for steerable and quadrature filters. VISAPP (1) (2006)
Kai Krajsek, Rudolf Mester
A Unified Theory for Steerable and Quadrature Filters. VISIGRAPP (Selected Papers) (2006)
Kai Krajsek, Rudolf Mester
Signal and Noise Adapted Filters for Differential Motion Estimation. DAGM-Symposium (2005)
Kai Krajsek, Rudolf Mester
Wiener-Optimized Discrete Filters for Differential Motion Estimation. IWCM (2004)

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Publication Activity (10 Years)

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Kai Krajsek