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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

Home Members Emanuel Laude

Emanuel Laude

Emanuel Laude

Scientific Employee

Technische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

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

Emanuel Laude

Research Interests

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


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

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


Conference and Workshop Papers
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann, D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bib] [pdf]
Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bib] [pdf]Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016
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Summer Term 2017

Summer Term 2016

Rechte Seite

Informatik IX

Computer Vision Group

Boltzmannstrasse 3
85748 Garching