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Tobias Uelwer
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Year
Phase Retrieval Using Conditional Generative Adversarial Networks
T Uelwer, A Oberstraß, S Harmeling
2020 25th International Conference on Pattern Recognition (ICPR), 731-738, 2021
262021
On the Vulnerability of Capsule Networks to Adversarial Attacks
F Michels, T Uelwer, E Upschulte, S Harmeling
ICML 2019 Workshop on Security and Privacy of Machine Learning, 2019
242019
Transformer-based World Models Are Happy With 100k Interactions
J Robine, M Höftmann, T Uelwer, S Harmeling
International Conference on Learning Representations (ICLR), 2023
202023
Non-iterative Phase Retrieval with Cascaded Neural Networks
T Uelwer, T Hoffmann, S Harmeling
International Conference on Artificial Neural Networks, 295-306, 2021
132021
PyMatting: A Python Library for Alpha Matting
T Germer, T Uelwer, S Conrad, S Harmeling
Journal of Open Source Software 5 (54), 2481, 2020
132020
Fast Multi-Level Foreground Estimation
T Germer, T Uelwer, S Conrad, S Harmeling
2020 25th International Conference on Pattern Recognition (ICPR), 1104-1111, 2021
122021
Smaller world models for reinforcement learning
J Robine, T Uelwer, S Harmeling
Neural Processing Letters 55 (8), 11397-11427, 2023
7*2023
Comparison of cardiac volumetry using real-time MRI during free-breathing with standard cine MRI during breath-hold in children
LM Röwer, KL Radke, J Hußmann, H Malik, T Uelwer, D Voit, J Frahm, ...
Pediatric Radiology 52 (8), 1462-1475, 2022
72022
Spirometry‐based reconstruction of real‐time cardiac MRI: Motion control and quantification of heart-lung interactions
LM Röwer, T Uelwer, J Hußmann, H Malik, M Eichinger, D Voit, ...
Magnetic Resonance in Medicine, 2021
62021
A Survey on Self-Supervised Representation Learning
T Uelwer, J Robine, SS Wagner, M Höftmann, E Upschulte, S Konietzny, ...
arXiv preprint arXiv:2308.11455, 2023
22023
Optimizing Intermediate Representations of Generative Models for Phase Retrieval
T Uelwer, S Konietzny, S Harmeling
Transactions on Machine Learning Research (TMLR), 2022
22022
A Closer Look at Reference Learning for Fourier Phase Retrieval
T Uelwer, N Rucks, S Harmeling
NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
22021
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data
T Germer, J Robine, S Konietzny, S Harmeling, T Uelwer
arXiv preprint arXiv:2309.06948, 2023
12023
Deblurring photographs of characters using deep neural networks
T Germer, T Uelwer, S Harmeling
Inverse Problems and Imaging 17 (5), 993-1007, 2022
12022
[Re] Solving Phase Retrieval With a Learned Reference
N Rucks, T Uelwer, S Harmeling
ML Reproducibility Challenge 2021 (Fall Edition), 2022
12022
Learning to Detect Adversarial Examples Based on Class Scores
T Uelwer, F Michels, O De Candido
German Conference on Artificial Intelligence (Künstliche Intelligenz), 233-240, 2021
12021
Learning Conditional Generative Models for Phase Retrieval
T Uelwer, S Konietzny, A Oberstrass, S Harmeling
Journal of Machine Learning Research 24 (332), 1-28, 2023
2023
Evaluating Robust Perceptual Losses for Image Reconstruction
T Uelwer, F Michels, O De Candido
I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022
2022
Learning to Plan via a Multi-step Policy Regression Method
S Wagner, M Janschek, T Uelwer, S Harmeling
International Conference on Artificial Neural Networks, 481-492, 2021
2021
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Articles 1–19