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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
2022
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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
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Distributed Photometric Bundle Adjustment , In International Conference on 3D Vision (3DV), 2020. ([project page][code])
Oral Presentation
2019
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Optimization of Inf-Convolution Regularized Nonconvex Composite Problems , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
2018
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A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
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Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
2016
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Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies , In European Conference on Computer Vision (ECCV), 2016. ([supp] [code])
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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
