| Highly accurate optic flow computation with theoretically justified warping N Papenberg, A Bruhn, T Brox, S Didas, J Weickert International Journal of Computer Vision 67, 141-158, 2006 | 653 | 2006 |
| Properties of higher order nonlinear diffusion filtering S Didas, J Weickert, B Burgeth Journal of mathematical imaging and vision 35, 208-226, 2009 | 103 | 2009 |
| Splines in higher order TV regularization G Steidl, S Didas, J Neumann International journal of computer vision 70, 241-255, 2006 | 98 | 2006 |
| A rotationally invariant block matching strategy improving image denoising with non-local means S Zimmer, S Didas, J Weickert Proc. 2008 International Workshop on Local and Non-Local Approximation in …, 2008 | 91 | 2008 |
| Generalised nonlocal image smoothing L Pizarro, P Mrázek, S Didas, S Grewenig, J Weickert International Journal of Computer Vision 90, 62-87, 2010 | 86 | 2010 |
| Morphology for matrix data: Ordering versus pde-based approach B Burgeth, A Bruhn, S Didas, J Weickert, M Welk Image and Vision Computing 25 (4), 496-511, 2007 | 61 | 2007 |
| Regularity and scale-space properties of fractional high order linear filtering S Didas, B Burgeth, A Imiya, J Weickert Scale Space and PDE Methods in Computer Vision: 5th International Conference …, 2005 | 53 | 2005 |
| Relations between higher order TV regularization and support vector regression G Steidl, S Didas, J Neumann International Conference on Scale-Space Theories in Computer Vision, 515-527, 2005 | 43 | 2005 |
| Stability and local feature enhancement of higher order nonlinear diffusion filtering S Didas, J Weickert, B Burgeth Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 …, 2005 | 41 | 2005 |
| X-ray computed tomography of gas diffusion layers of PEM fuel cells: Segmentation of the microporous layer A Pfrang, S Didas, G Tsotridis Journal of power sources 235, 81-86, 2013 | 39 | 2013 |
| A generic approach to diffusion filtering of matrix-fields B Burgeth, S Didas, L Florack, J Weickert Computing 81, 179-197, 2007 | 38 | 2007 |
| A general structure tensor concept and coherence-enhancing diffusion filtering for matrix fields B Burgeth, S Didas, J Weickert Visualization and Processing of Tensor Fields: Advances and Perspectives …, 2009 | 36 | 2009 |
| Combined ℓ2 data and gradient fitting in conjunction with ℓ1 regularization S Didas, S Setzer, G Steidl Advances in Computational Mathematics 30, 79-99, 2009 | 33 | 2009 |
| Integrodifferential equations for continuous multiscale wavelet shrinkage S Didas, J Weickert Inverse Problems and Imaging 1 (1), 47, 2007 | 29 | 2007 |
| Higher order variational methods for noise removal in signals and images S Didas, J Weickert Saarbrücken, Saarland Universitesi, 2004 | 25 | 2004 |
| Tropfencluster–Analytik, Simulation und Visualisierung HJ Bart, MW Hlawitschka, M Mickler, M Jaradat, S Didas, F Chen, ... Chemie Ingenieur Technik 83 (7), 965, 2011 | 22 | 2011 |
| Direct shape-from-shading with adaptive higher order regularisation O Vogel, A Bruhn, J Weickert, S Didas Scale Space and Variational Methods in Computer Vision: First International …, 2007 | 21 | 2007 |
| The bessel scale-space B Burgeth, S Didas, J Weickert International Workshop on Deep Structure, Singularities, and Computer Vision …, 2005 | 19 | 2005 |
| A generic approach to the filtering of matrix fields with singular PDEs B Burgeth, S Didas, L Florack, J Weickert Scale Space and Variational Methods in Computer Vision: First International …, 2007 | 18 | 2007 |
| Combining curvature motion and edge-preserving denoising S Didas, J Weickert International Conference on Scale Space and Variational Methods in Computer …, 2007 | 17 | 2007 |
