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Welcome to the homepage of

Joachim Weickert

Professor of Mathematics and Computer Science

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Office Hour: Friday, 14:15-15:15
Phone: +49-681-302-57340
Secr.: +49-681-302-57341 (Ellen Wintringer)
Fax: +49-681-302-57342
E-mail: weickert -at- mia.uni-saarland.de
Address: Faculty of Mathematics and Computer Science
Saarland University, Building E1.1
66041 Saarbrücken, Germany
Office: Room 3.11 (Building E1.1, Saarbrücken Campus, visitor information)
WWW: http://www.mia.uni-saarland.de/weickert


Joachim Weickert is professor of mathematics and computer science at Saarland University where he heads the Mathematical Image Analysis Group. He received a diploma and a Ph.D. degree in mathematics from the University of Kaiserslautern (1991, 1996), and a habilitation degree in computer science from the University of Mannheim (2001). He worked as research assistant at the University of Kaiserslautern, as post-doctoral researcher at the universities of Utrecht and Copenhagen, and as assistant professor at the University of Mannheim.

He performs research in image processing, computer vision and scientific computing, focussing on techniques based on partial differential equations, variational principles, wavelets, morphological and nonlocal methods. He has developed mathematical models and efficient numerical algorithms for image restoration, enhancement, segmentation, compression, optic flow computation, stereo reconstruction, shape from shading, as well as signal processing methods for tensor fields. These ideas have entered a number of applications in industry, biomedical image analysis and other fields.

The scientific work of Joachim Weickert covers more than 210 refereed publications. His h-index is 42. He serves in the editorial boards of nine international journals and has been reviewer for more than 60 journals and 16 funding organisations. He has given over 120 invited talks at conferences, workshops and other universities, and was area chair of five ECCV or ICCV conferences. He has received 15 research, teaching and reviewing awards, including the 1998 Olympus Prize (highest German pattern recognition award), the 2004 Longuet-Higgins Awards (highest European computer vision award), and the 2010 Gottfried Wilhelm Leibniz Prize (highest German research award).

At Saarland University, Joachim Weickert is initiator and head of an International Master Programme in Visual Computing, which is the first of its kind in Germany. Since 2002 he has supervised more than 160 bachelor, master or diploma theses. He has established many interdisciplinary collaborations with colleagues from medicine, bioinformatics, pharmacy, physics, mechatronics, and mechanical engineering. He is Principal Investigator for Visual Computing within the Multimodal Computing and Interaction Cluster of Excellence, and he serves in the Steering Committee of the Intel Visual Computing Institute. Since April 2008, Joachim Weickert is dean of the Faculty of Mathematics and Computer Science.


More Details on Recent or Forthcoming Activities:


Visual Computing: An International Master Programme of Studies

More Information


Teaching

Image Processing and Computer Vision

(Pro-)Seminar Informationstheorie und Bildkompression

Oberseminar Mathematische Bildanalyse

Oberseminar Angewandte Mathematik


Editorial Boards

International Journal of Computer Vision (IJCV)

Inverse Problems and Imaging (IPI)

International Journal of Electrical and Computer Engineering Systems (IJECES)

Journal of Visual Communication and Image Representation (JVCIR),

Electronic Letters on Computer Vision and Image Analysis (ELCVIA)

Journal of Mathematical Imaging and Vision (JMIV)

Foundations and Trends in Computer Graphics and Vision (FTCGV)

Journal of Algorithms in Cognition, Informatics and Logic (JACIL)

IEEE Transactions on Pattern Recognition and Machine Intelligence (IEEE T-PAMI)


Conference and Workshop Co-organiser

Geometric Properties from Incomplete Data 2004

Visualisation and Image Processing of Tensor Fields 2004

Ollendorff Vision and Image Sciences Workshop 2004

Scale-Space and PDE Methods in Computer Vision 2005

GAMM Annual Meeting 2006, Session on Mathematical Image Processing

Visualisation and Image Processing of Tensor Fields 2007

Journées de Metz 2007: PDE and Variational Methods in Image Analysis

Vision, Modeling, and Visualization 2007

German-Israeli Workshop for Vision and Image Sciences 2008


Keynote Speaker

Onzième congrès francophone des jeunes chercheurs en vision par ordinateur
(ORASIS 2007, Obernai, France, June 2007)

Computational Methods with Applications
(CMA 2007, Harrachov, Czech Republic, Aug. 2007)

Seventh International Conference on Mathematical Methods for Curves and Surfaces
(MMCS 2008, Tønsberg, Norway, June 2008)

International Conference on Image and Signal Processing
(ICISP 2008, Cherbourg-Octeville, France, July 2008)

Fourth Iberian Conference on Pattern Recognition and Image Analysis
(IbPRIA 2009, Povoa de Varzim, Portugal, June 2009)

Seventh International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
(EMMCVPR 2009, Bonn, Germany, August 2009)

Vision, Modeling, and Visualization 2009
(VMV 2009, Braunschweig, Germany, November 2009)

Sparsity and Nonlinear Diffusion for Signal and Image Processing
(Edinburgh, Scotland, November 2009)

Mathematics and Image Analysis 2009
(MIA 2009, Paris, France, December 2009)

A complete list of invited talks can be found here.

Ten Selected Publications

  1. J. Weickert:
    Anisotropic Diffusion in Image Processing.
    Teubner, Stuttgart, 1998.
    [More information and free download]
    Cited more than 1100 times.

  2. J. Weickert, B.M. ter Haar Romeny, M.A. Viergever:
    Efficient and reliable schemes for nonlinear diffusion filtering.
    IEEE Transactions on Image Processing, Vol. 7, No. 3, 398-410, March 1998.
    Cited more than 500 times.

  3. J. Weickert, S. Ishikawa, A. Imiya:
    Linear scale-space has first been proposed in Japan.
    Journal of Mathematical Imaging and Vision, Vol. 10, 237-252, 1999.
    Revised version of Technical Report DIKU-97/18, Dept. of Computer Science, University of Copenhagen, Denmark, 1997.

  4. J. Weickert, C. Schnörr:
    A theoretical framework for convex regularizers in PDE-based computation of image motion.
    International Journal of Computer Vision, Vol. 45, No. 3, pp. 245-264, December 2001.
    Revised version of Technical Report No. 13/2000, Computer Science Series, University of Mannheim, Germany, June 2000.

  5. T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
    High accuracy optical flow estimation based on a theory for warping.
    In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 25-36, 2004.
    Awarded the 2004 ECCV Longuet-Higgins Prize (best paper under 555 submissions).

  6. G. Steidl, J. Weickert, T. Brox, P. Mrázek, M. Welk:
    On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs.
    SIAM Journal on Numerical Analysis, Vol. 42, No. 2, 686-713, 2004.
    Shortened version of Technical Report No. 94, Dept. of Mathematics, Saarland University, Saarbrücken, Germany, August 2003.

  7. J. Weickert, H. Hagen (Eds.):
    Visualization and Processing of Tensor Fields.
    Springer, Berlin, 2006.

  8. A. Bruhn, J. Weickert, T. Kohlberger, C. Schnörr:
    A multigrid platform for real-time motion computation with discontinuity-preserving variational methods.
    International Journal of Computer Vision, Vol. 70, No. 3, 257-277, December 2006.
    Invited paper.

  9. M. Welk, G. Steidl, J. Weickert:
    Locally analytic schemes: a link between diffusion filtering and wavelet shrinkage.
    Applied and Computational Harmonic Analysis, Vol. 24, 195–224, 2008.

  10. I. Galić, J. Weickert, M. Welk, A. Bruhn, A. Belyaev, H.-P. Seidel:
    Image compression with anisotropic diffusion.
    Journal of Mathematical Imaging and Vision, Vol. 31, 255–269, 2008.
    Invited Paper.

There is also a full publication list available.


Publications
Research
Demos
Talks
Reviewing
Awards

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