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Position: |
Postdoctoral Researcher |
Phone: |
+49-681-302-57355 |
E-mail: |
ochs -at- mia.uni-saarland.de |
Address: |
Mathematical Image Analysis Group
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Faculty of Mathematics and Computer Science,
Campus E1.7
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66123 Saarbrücken,
Germany
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Office: |
Room 4.12
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Research Interests –
Publications –
Teaching
Google Scholar Profile
New Website
- Convex and non-convex analysis and optimization
- Bilevel optimization
- Tame optimization
- Image processing and computer vision applications
Journal Papers
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P. Ochs:
Local Convergence of the Heavy-ball Method and iPiano for Non-convex Optimization.
ArXiv e-prints, arXiv:1606.09070 [math.OC], 2016.
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P. Ochs:
Unifying abstract inexact convergence theorems for descent methods and block coordinate variable metric iPiano.
ArXiv e-prints, arXiv:1602.07283 [math.OC], 2016.
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P. Ochs, R. Ranftl, T. Brox, T. Pock:
Techniques for Gradient Based Bilevel Optimization with Nonsmooth Lower Level Problems.
Journal of Mathematical Imaging and Vision, in press.
Revised version of ArXiv e-prints, arXiv:1602.07080 [math.OC], 2016.
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P. Ochs, A. Dosovitskiy, T. Brox, T. Pock:
On iteratively reweighted Algorithms for Non-smooth Non-convex Optimization in Computer Vision.
SIAM Journal on Imaging Sciences (SIIMS), 8(1): 331 - 372, 2015.
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P. Ochs, T. Brox, T. Pock:
iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization.
Journal of Mathematical Imaging and Vision (JMIV), 52(2): 171 - 181, 2015.
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P. Ochs, Y. Chen, T. Brox, T. Pock:
iPiano: Inertial Proximal Algorithm for Non-convex Optimization.
SIAM Journal on Imaging Sciences (SIIMS), 7(2): 1388 - 1419, 2014.
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P. Ochs, J. Malik, T. Brox:
Segmentation of Moving Objects by Long Term Video Analysis.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(6): 1187 - 1200, 2014.
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M. Temerinac-Ott, O. Ronneberger, P. Ochs, W. Driever, T. Brox, H. Burkhardt:
Multiview Deblurring for 3-D Images from Light Sheet Based Fluorescence Microscopy.
IEEE Transactions on Image Processing (TIP), 21(4): 1863 - 1873, 2012.
Conference Papers
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D. Hafner, P. Ochs, J. Weickert, M. Reißel, S. Grewenig:
FSI schemes: Fast semi-iterative solvers for PDEs and optimisation methods.
To appear in B. Andres, B. Rosenhahn (Eds.):
Pattern Recognition. Lecture Notes in Computer Science, Springer, Cham, 2016.
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S. Müller, P. Ochs, J. Weickert, N. Graf:
Robust interactive multi-label segmentation with an advanced edge detector.
To appear in B. Andres, B. Rosenhahn (Eds.):
Pattern Recognition. Lecture Notes in Computer Science, Springer, Cham, 2016.
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P. Ochs, T. Brox:
Bilevel Optimization with Nonsmooth Lower Level Problems.
In J.-F. Aujol, M. Nikolova, N. Papadakis (Eds.): International Conference on Scale Space and
Variational Methods in Computer Vision (SSVM). Lecture Notes in Computer Science,
Vol. 9087, 154-165, Springer, 2015.
Best Paper Award.
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P. Ochs, A. Dosovitskiy, T. Pock, T. Brox:
An iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
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P. Ochs, T. Brox:
Higher Order Motion Models and Spectral Clustering.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
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N.S. Nagaraja, P. Ochs, K. Liu, T. Brox:
Hierarchy of Localized Random Forests for Video Annotation.
In A. Pinz, T. Pock, H. Bischof, F.Leberl (Eds.):
Pattern Recognition (Proc. DAGM), Springer, LNCS, 2012.
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P. Ochs, T. Brox:
Object Segmentation in Video: a Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions.
IEEE International Conference on Computer Vision (ICCV), 2011.
Theses
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Long Term Motion Analysis for Object Level Grouping and Nonsmooth Optimization Methods.
Ph.D., Albert-Ludwigs-Universität, Freiburg, Germany, Mar 2015.
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Interpolation with Osmosis.
M.Sc. in Applied Mathematics, University of Saarland, Germany, 2010.
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The Bruhat-Tits Tree of a Local Field.
B.Sc. in Pure Mathematics (Algebra), University of Saarland, Germany, 2009.
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