Hartmut Bauermeister

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 10

Top Topics

Convex Relaxation

Parameter Estimation

Sign Language Recognition

Top Venues

SIAM J. Imaging Sci.

Publications

Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb
Deep Optimization Prior for THz Model Parameter Estimation. WACV (2022)
Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
Convergent Data-driven Regularizations for CT Reconstruction. CoRR (2022)
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. SIAM J. Imaging Sci. 15 (3) (2022)
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. CoRR (2021)
Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Möller
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. ICPR (2020)
Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller
Fast Convex Relaxations using Graph Discretizations. CoRR (2020)
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS (2020)
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
Inverting Gradients - How easy is it to break privacy in federated learning? CoRR (2020)
Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller
Fast Convex Relaxations using Graph Discretizations. BMVC (2020)
Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Moeller
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. CoRR (2020)