
Position: 
Former Assistant Professor 
Email: 
setzer at mia.unisaarland.de
(please replace antispam at by @)


In 2006, I received my diploma in mathematics and computer science at the University of Mannheim, Germany. During my diploma studies, I spend one year at the University of Waterloo, Canada. I defended my Ph.D. thesis in December 2009 at the University of Mannheim. My advisor was Prof. Gabriele Steidl.
From January 2010 to July 2010, I was a research visitor funded by the German Academic Exchange Program DAAD at the group of Prof. Stanley Osher at the University of California, Los Angeles.
Since September 2010, I am a member of the Mathematical Image Analysis
Group at the Saarland University.
My research is focused on optimization methods for problems which arise in image processing, computer vision and machine learning. Google scholar profile.
3rd International Workshop on New Computational Methods for Inverse Problems
Institut Farman, Ecole Normale Superieure de Cachan, Cachan, France, May 22, 2013
To Appear

A. Podosinnikova, S. Setzer, M. Hein
Robust PCA: Optimization of the Robust Reconstruction Error over the Stiefel.
In X. Jiang, J. Hornegger, R. Koch (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Springer, Berlin, 2014, in press.
Supplementary material.

N. Persch, C. Schroers, S. Setzer, J. Weickert
Introducing more physics into variational depthfromdefocus.
In X. Jiang, J. Hornegger, R. Koch (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Springer, Berlin, 2014, in press.

C. Schroers, S. Setzer, J. Weickert
A variational taxonomy for surface reconstruction from oriented points.
Computer Graphics Forum (Proc. 2014 Eurographics Symposium on Geometry Processing), in press.
Journal Publications

T. Goldstein, B. O'Donoghue, S. Setzer, R. Baraniuk
Fast alternating direction optimization methods.
SIAM Journal on Imaging Sciences, 7(3), pp. 15881623, 2014

S. Setzer, G. Steidl, J. Morgenthaler
A cyclic projected gradient method.
Computational Optimization and Applications, 54(2), 417440, March 2013.

S. Setzer, G. Steidl, T. Teuber
On vector and matrix median computation.
Journal of Computational and Applied Mathematics, 236(8), pp. 22002222, 2011

S. Setzer
Operator splittings, Bregman methods and frame shrinkage in image processing.
International Journal of Computer Vision, 92(3), pp. 265280, 2011

S. Setzer, G. Steidl, T. Teuber
Infimal convolution regularizations with discrete l1type functionals.
Communications in Mathematical Sciences, 9(3), pp. 797872, 2011

S. Setzer, G. Steidl, T. Teuber
Deblurring Poissonian images by split Bregman techniques.
Journal of Visual Communication and Image Representation, 21, pp. 193  199, 2010

S. Setzer, G. Steidl, T. Teuber, G. Moerkotte
Approximation related to quotient functionals.
Journal of Approximation Theory, 162(3), pp. 545558, 2010

S. Didas, S. Setzer, G. Steidl
Combined l2 data and gradient fitting in conjunction with
l1 regularization.
Advances in Computational Mathematics, 30(1), pp. 79  99, 2009

R. H. Chan, S. Setzer, G. Steidl
Inpainting by flexible Haar wavelet shrinkage.
SIAM Journal on Imaging Sciences, 1, pp. 273  293, 2008

S. Setzer, G. Steidl, T. Teuber
Restoration of images with rotated shapes.
Numerical Algorithms, 48, pp. 49  66, 2007

G. Steidl, S. Setzer, B. Popilka, B. Burgeth
Restoration of matrix fields by second order cone programming.
Computing, 81(23), pp. 161178, 2007

B. Popilka, S. Setzer, G. Steidl
Signal recovery from incomplete measurements in the presence of outliers.
Inverse Problems and Imaging, 1(4), pp. 661672, 2007
Conference Proceedings

M. Hein, S. Setzer, L. Jost, S. Rangapuram
The total variation on hypergraphs  learning on hypergraphs revisited
.
In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger (Eds.): Advances in Neural Information Processing, (Proc. NIPS 2013, Dec. 510, 2013, Lake Tahoe, NE). Vol. 26, 2013. Supplementary material. Code can be found here.

L. Hoeltgen, S. Setzer, J. Weickert
An optimal control approach to find sparse data for Laplace interpolation
.
In A. Heyden, F. Kahl, C. Olsson, M. Oskarsson, X.C. Tai (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition. Lecture Notes in Computer Science, Vol. 8081, 151164, Springer, Berlin, 2013.

O. Vogel, K. Hagenburg, J. Weickert, S. Setzer
A fully discrete theory for linear osmosis filtering
.
In A. Kuijper, T. Pock, K. Bredies, H. Bischof (Eds.): ScaleSpace and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 7893, 368379, Springer, Berlin, 2013.

T. Bühler, S. Rangapuram, S. Setzer, M. Hein
Constrained fractional set programs and their
application in local clustering and community detection
.
Proceedings of the 30th International Conference on Machine Learning (ICML 2013), JMLR W&CP 28 (1), pp. 624632, 2013. Supplementary material

M. Hein, S. Setzer
Beyond spectral clustering: Relaxations of balanced graph cuts.
Advances in Neural Information Processing Systems
(Proc. NIPS, Dec. 2011, Granada, Spain), 24, 2011. Supplementary material

L. Hoeltgen, S. Setzer, M. Breuß
Intermediate flow field filtering in energy based optic flow computations.
To appear in Proc. 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2011), St. Petersburg, Russia, July 2527, 2011

S. Setzer
Split Bregman algorithm, DouglasRachford splitting and frame shrinkage.
In X.C. Tai et al. (Ed..):
Proceedings of the Second International Conference on Scale Space Methods and Proceedings of the 2nd International Conference on Scale Space and Variational Methods in Computer Vision, LNCS, vol. 5567, pp. 464476, Springer, Berlin, 2009
Book Chapters

S. Setzer, G. Steidl, B. Popilka, B. Burgeth
Variational methods for denoising matrix fields.
In D. H. Laidlaw and J. Weickert (Eds.):
Visualization and Processing of Tensor Fields: Advances and Perspectives, Springer, Berlin, 2009

S. Setzer, G. Steidl
Variational methods with higher order derivatives in image
processing.
In M. Neamtu and L. L. Schumaker (Eds.):
Approximation XII, Nashboro Press, Brentwood, pp. 360  386, 2008
Preprints

L. Jost, S. Setzer, M. Hein
Nonlinear eigenproblems in data analysis  Balanced graph cuts and the RatioDCAProx.
Preprint arXiv:1312.5192, 2013

T. Goldstein, S. Setzer
Highorder methods for basis pursuit.
Preprint University of California, Los Angeles, 2010. Code can be found here.
 Journal of Mathematical Imaging and Vision
 International Journal of Computer Vision
 Journal of Fourier Analysis and Applications
 Journal of Computational Physics
 Journal of Visual Communication and Image Representation
 Optical Engineering
 ICCV 2011
 EMMCVPR 2011, 2013
 Computational Statistics and Data Analysis
 SIAM Journal on Imaging Sciences
 Multiscale Modeling and Simulation
 Journal of Applied Mathematics and Computing
 Netherlands Organisation for Scientific Research (NWO)
 Scale Space and Variational Methods 2013
 COLT 2013
 NIPS 2014
 Advances in Computational Mathematics
