Hartmut Bauermeister

According to our database, Hartmut Bauermeister authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Functional lifting, direct approaches and applications of nonconvex optimization in computer vision (Functional Lifting, direkte Ansätze und Anwendungen nichtkonvexer Optimierung in der Bildverarbeitung)

Hartmut Bauermeister

PhD thesis, 2023

2022

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields.

Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers

SIAM J. Imaging Sci., September, 2022

Convergent Data-driven Regularizations for CT Reconstruction.

Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger

CoRR, 2022

Deep Optimization Prior for THz Model Parameter Estimation.

Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Inverting Gradients - How easy is it to break privacy in federated learning?

Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction.

Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Möller

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast Convex Relaxations using Graph Discretizations.

Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller

Proceedings of the 31st British Machine Vision Conference 2020, 2020