| Office Hour:
|| Tuesday, 14:15-15:15
|| weickert -at- mia.uni-saarland.de
(please replace anti-spam -at- by @)
|| Faculty of Mathematics and Computer Science
|| Room 4.23 (Building E1.7,
Joachim Weickert is professor of mathematics and computer science
at Saarland University where he heads the
Mathematical Image Analysis Group since 2001.
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
and as assistant professor at the
University of Mannheim.
Joachim Weickert performs
in image processing, computer vision and
scientific computing, focussing on techniques based on partial differential
equations, variational principles, wavelets, morphological and nonlocal
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 300 refereed
publications. They have led to over
citations and an
h-index of 69. Joachim Weickert is editor-in-chief of the
Journal of Mathematical Imaging and Vision.
He has been serving in the editorial boards
of ten international journals and book series, and he has been
reviewer for more than 70 journals and 20 funding organisations.
He has given over 180 invited talks
at conferences, workshops and other universities, and was area chair of
seven ECCV, ICCV or CVPR conferences. Joachim Weickert has received 32
research, teaching and reviewing
awards, including a
Gottfried Wilhelm Leibniz Prize which belongs to the
highest German research awards. In 2017 he has been awarded an
ERC Advanced Grant.
He is elected member of the
Academia Europaea - The Academy of Europe.
At Saarland University, Joachim Weickert is initiator and head of
Programme in Visual Computing, which is the first of its kind in
Germany and uses English as language of instruction. He has supervised
more than 250
master theses. Joachim Weickert 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. From 2008 to 2010,
he was dean of the Faculty of
and Computer Science.
More Details on Recent or Forthcoming Activities:
Visual Compting (English master programme)
Mathematics and Computer Science (integrated degree programme)
Image Processing and Computer Vision
Proseminar: Digitale Filter
Oberseminar Mathematische Bildanalyse
If you have enjoyed the classes of our group and consider writing
your thesis with us, here is some
information for prospective students.
Computational Imaging and Vision
Electronic Letters on Computer Vision and Image Analysis
Foundations and Trends in Computer Graphics and Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Inverse Problems and Imaging
Journal of Mathematical Imaging and Vision
(2007-present, since 2011 as Editor-in-Chief)
Journal of Visual Communication and Image Representation
Logic Journal of the IGPL
SIAM Journal on Imaging Sciences
Anisotropic Diffusion in Image Processing.
Teubner, Stuttgart, 1998.
Cited more than 2600
More information and free download.
J. Weickert, B.M. ter Haar Romeny, M.A. Viergever:
Efficient and reliable schemes for nonlinear diffusion
IEEE Transactions on Image Processing, Vol. 7, No. 3, 398-410, March 1998.
Cited more than 1300 times.
T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
High accuracy optical flow estimation based on a theory for
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 and the 2014 Jan Koenderink
Prize for Fundamental Contributions in Computer Vision.
Cited more than 2000 times.
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,
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,
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.
Z. Belhachmi, D. Bucur, B. Burgeth, J. Weickert:
How to choose interpolation data in images.
SIAM Journal on Applied Mathematics, Vol. 70, No. 1, 333-352, 2009.
Revised version of
Technical Report No. 205, Department of Mathematics,
Saarland University, Saarbrücken, Germany, 2008.
C. Schmaltz, P. Gwosdek, A. Bruhn, J. Weickert:
Computer Graphics Forum, Vol. 29, No. 8, 2313-2327, December 2010.
Revised version of
Technical Report No. 260, Department of Mathematics, Saarland
University, Saarbrücken, Germany, February 2010.
See also: Supplementary Material Webpage.
C. Schmaltz, P. Peter, M. Mainberger, F. Ebel, J. Weickert, A. Bruhn:
Understanding, optimising, and extending data compression with
International Journal of Computer Vision, Vol. 108, No. 3, 222-240,
Revised version of
Technical Report No. 329, Department of Mathematics,
Saarland University, Saarbrücken, Germany, March 2013.
J. Weickert, S. Grewenig, C. Schroers, A. Bruhn:
Cyclic schemes for PDE-based image analysis.
International Journal of Computer Vision, Vol. 118, No. 3, 275-299,
Also available as
Technical Report No. 327 (revised), Department of Mathematics,
Saarland University, Saarbrücken, Germany, April 2015.
There is also a full publication list