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Hannah Dröge
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2020 – today
- 2024
- [b1]Hannah Dröge:
On the confluence of machine learning and model-based energy minimization methods for computer vision. University of Siegen, Germany, 2024 - [i5]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller:
Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR abs/2402.11557 (2024) - [i4]Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller:
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR abs/2402.12072 (2024) - [i3]Markus Plack, Hannah Dröge, Leif Van Holland, Matthias B. Hullin:
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors. CoRR abs/2406.02552 (2024) - 2023
- [c6]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller:
Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL 2023: 1545-1563 - [c5]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS 2023 - [i2]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR abs/2308.13252 (2023) - 2022
- [c4]Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller:
Explorable Data Consistent CT Reconstruction. BMVC 2022: 746 - [c3]Hannah Dröge
, Thomas Möllenhoff, Michael Möller:
Non-Smooth Energy Dissipating Networks. ICIP 2022: 3281-3285 - 2021
- [j1]Hannah Dröge
Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging 7(10): 213 (2021) - [c2]Hannah Dröge
Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. ICIP 2021: 2274-2278 - 2020
- [c1]Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller:
Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020 - [i1]Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller:
Inverting Gradients - How easy is it to break privacy in federated learning? CoRR abs/2003.14053 (2020)
Coauthor Index
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last updated on 2024-07-11 19:31 CEST by the dblp team
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