Stephan Didas

According to our database, Stephan Didas authored at least 23 papers between 2005 and 2023.

Collaborative distances:

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

2023

Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems.

Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven, David Junk, Gunes Karabulut Kurt, Stefan Naumann, Stephan Didas, Klaus-Uwe Gollmer, Ralph Bergmann, Ingo J. Timm, Guido Dartmann

CoRR, 2023

2019

A Unified Approach to the Processing of Hyperspectral Images.

Bernhard Burgeth, Stephan Didas, Andreas Kleefeld

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

2017

Multi-scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization.

Shekoufeh Gorgi Zadeh, Stephan Didas, Maximilian W. M. Wintergerst, Thomas Schultz

J. Math. Imaging Vis., 2017

2012

3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields.

Bernhard Burgeth, Luis Pizarro, Stephan Didas, Joachim Weickert

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

2010

Generalised Nonlocal Image Smoothing.

Luis Pizarro, Pavel Mrázek, Stephan Didas, Sven Grewenig, Joachim Weickert

Int. J. Comput. Vis., 2010

2009

PDE-based Morphology for Matrix Fields: Numerical Solution Schemes.

Bernhard Burgeth, Michael Breuß, Stephan Didas, Joachim Weickert

Proceedings of the Tensors in Image Processing and Computer Vision, 2009

Properties of Higher Order Nonlinear Diffusion Filtering.

Stephan Didas, Joachim Weickert, Bernhard Burgeth

J. Math. Imaging Vis., 2009

Combined <i>l</i>₂ data and gradient fitting in conjunction with <i>l</i>₁ regularization.

Stephan Didas, Simon Setzer, Gabriele Steidl

Adv. Comput. Math., 2009

2008

A Generic Neighbourhood Filtering Framework for Matrix Fields.

Luis Pizarro, Bernhard Burgeth, Stephan Didas, Joachim Weickert

Proceedings of the Computer Vision, 2008

2007

Morphology for matrix data: Ordering versus PDE-based approach.

Bernhard Burgeth, Andrés Bruhn, Stephan Didas, Joachim Weickert, Martin Welk

Image Vis. Comput., 2007

A generic approach to diffusion filtering of matrix-fields.

Bernhard Burgeth, Stephan Didas, Luc Florack, Joachim Weickert

Computing, 2007

Evaluating a General Class of Filters for Image Denoising.

Luis Pizarro, Stephan Didas, Frank Bauer, Joachim Weickert

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Direct Shape-from-Shading with Adaptive Higher Order Regularisation.

Oliver Vogel, Andrés Bruhn, Joachim Weickert, Stephan Didas

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Combining Curvature Motion and Edge-Preserving Denoising.

Stephan Didas, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

A Generic Approach to the Filtering of Matrix Fields with Singular PDEs.

Bernhard Burgeth, Stephan Didas, Luc Florack, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

Splines in Higher Order TV Regularization.

Gabriele Steidl, Stephan Didas, Julia Neumann

Int. J. Comput. Vis., 2006

Highly Accurate Optic Flow Computation with Theoretically Justified Warping.

Nils Papenberg, Andrés Bruhn, Thomas Brox, Stephan Didas, Joachim Weickert

Int. J. Comput. Vis., 2006

From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering.

Stephan Didas, Joachim Weickert

Proceedings of the Pattern Recognition, 2006

2005

Relations Between Higher Order TV Regularization and Support Vector Regression.

Gabriele Steidl, Stephan Didas, Julia Neumann

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Regularity and Scale-Space Properties of Fractional High Order Linear Filtering.

Stephan Didas, Bernhard Burgeth, Atsushi Imiya, Joachim Weickert

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Relativistic Scale-Spaces.

Bernhard Burgeth, Stephan Didas, Joachim Weickert

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

The Bessel Scale-Space.

Bernhard Burgeth, Stephan Didas, Joachim Weickert

Proceedings of the Deep Structure, 2005

Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering.

Stephan Didas, Joachim Weickert, Bernhard Burgeth

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