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Technical University of Munich
School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Fax: +49-89-289-17757
Mail:
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 Convex and Nonconvex Optimization for Machine Learning and Computer Vision and Convex Relaxation Methods.
I received my Master's degree in Informatics (minor Mathematics) in 2015 from the Technical University of Munich.
Publications
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Journal Articles
2022
[] Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields , In SIAM J. Imaging Sci., volume 15, 2022.
2020
[] Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity , In Journal of Optimization Theory and Applications, volume 184, 2020.
Conference and Workshop Papers
2021
[] Bregman Proximal Gradient Algorithms for Deep Matrix Factorization , In Scale Space and Variational Methods in Computer Vision (A Elmoataz, J Fadili, Y Quéau, J Rabin, L Simon, eds.), Springer International Publishing, 2021.
2020
[] Distributed Photometric Bundle Adjustment , In International Conference on 3D Vision (3DV), 2020. ([project page][code])
Oral Presentation
2019
[] Optimization of Inf-Convolution Regularized Nonconvex Composite Problems , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
2018
[] A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
[] Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
2016
[] Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies , In European Conference on Computer Vision (ECCV), 2016. ([supp] [code])
[] Sublabel-Accurate Relaxation of Nonconvex Energies , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code])
Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016