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Technical University of Munich

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Emanuel Laude

AlumniTechnical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17790
Fax: +49-89-289-17757
Office: 02.09.039
Mail: emanuel.laude@in.tum.de

Research Interests

Convex and Nonconvex Optimization for Machine Learning and Computer Vision, Convex Relaxation Methods

Bio

I'm a PhD student in computer science at the Computer Vision Group TUM headed by Prof. Daniel Cremers. In my research I focus on Numerical Optimization for Machine Learning and Computer Vision and Convex Relaxation Methods.

I received my Bachelor's degree in Computer Science from the University of Würzburg in 2013 and my Master's degree in Informatics (minor Mathematics) in 2015 from the Technical University of Munich.

Publications


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Journal Articles
2020
[]Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity (E. Laude, P. Ochs and D. Cremers), In Journal of Optimization Theory and Applications, volume 184, 2020.  [bibtex] [arXiv:1907.04306]
Preprints
2021
[]Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (H. Bauermeister, E. Laude, T. Moellenhoff, M. Moeller and D. Cremers), In arXiv preprint, 2021.  [bibtex] [arXiv:2107.06028]
Conference and Workshop Papers
2021
[]Bregman Proximal Gradient Algorithms for Deep Matrix Factorization (M. C. Mukkamala, F. Westerkamp, E. Laude, D. Cremers and P. Ochs), In Scale Space and Variational Methods in Computer Vision (A Elmoataz, J Fadili, Y Quéau, J Rabin, L Simon, eds.), Springer International Publishing, 2021.  [bibtex] [arXiv:1910.03638]
2020
[]Distributed Photometric Bundle Adjustment (N Demmel, M Gao, E Laude, T Wu and D Cremers), In International Conference on 3D Vision (3DV), 2020. ([project page][code]) [bibtex] [pdf]Oral Presentation
2019
[]Optimization of Inf-Convolution Regularized Nonconvex Composite Problems (E. Laude, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.  [bibtex] [pdf]
2018
[]A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization (E. Laude, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
[]Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs (E. Laude, J.-H. Lange, J. Schüpfer, C. Domokos, L. Leal-Taixé, F. R. Schmidt, B. Andres and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.  [bibtex] [pdf]
2016
[]Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bibtex] [pdf]
[]Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bibtex] [pdf]Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016
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Teaching

Winter Term 2019/20

Summer Term 2018

Winter Term 2017/18

Summer Term 2017

Summer Term 2016

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

05.12.2021
04.12.2021

TANDEM (CoRL 2021) received the Best Demo Award at 3DV 2021! Congrats to Lukas Koestler, Nan Yang, and Niclas Zeller!

04.06.2021

Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

05.05.2021
French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium brought together some of the leading ML researchers from France and Germany to give us a glimpse into their research and engage in discussions on the future of machine learning. The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.

03.05.2021

Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream

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