Tobias Uelwer

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Intermediate Representations

Natural Image Matting

Top Venues

Publications

Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data. CoRR (2023)
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
A Survey on Self-Supervised Representation Learning. CoRR (2023)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Smaller World Models for Reinforcement Learning. Neural Process. Lett. 55 (8) (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. ICLR (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. CoRR (2023)
Thomas Germer, Tobias Uelwer, Stefan Harmeling
Deblurring Photographs of Characters Using Deep Neural Networks. CoRR (2022)
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. CoRR (2022)
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. Trans. Mach. Learn. Res. 2022 (2022)
Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
Non-iterative Phase Retrieval with Cascaded Neural Networks. ICANN (2) (2021)
Tobias Uelwer, Nick Rucks, Stefan Harmeling
A Closer Look at Reference Learning for Fourier Phase Retrieval. CoRR (2021)
Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
Learning to Plan via a Multi-Step Policy Regression Method. CoRR (2021)
Tobias Uelwer, Felix Michels, Oliver De Candido
Learning to Detect Adversarial Examples Based on Class Scores. KI (2021)
Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
Learning to Plan via a Multi-step Policy Regression Method. ICANN (4) (2021)
Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
Non-Iterative Phase Retrieval With Cascaded Neural Networks. CoRR (2021)
Tobias Uelwer, Felix Michels, Oliver De Candido
Learning to Detect Adversarial Examples Based on Class Scores. CoRR (2021)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Discrete Latent Space World Models for Reinforcement Learning. CoRR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
Fast Multi-Level Foreground Estimation. ICPR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
Fast Multi-Level Foreground Estimation. CoRR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
PyMatting: A Python Library for Alpha Matting. J. Open Source Softw. 5 (54) (2020)
Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
Phase Retrieval Using Conditional Generative Adversarial Networks. ICPR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
PyMatting: A Python Library for Alpha Matting. CoRR (2020)
Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
Phase Retrieval using Conditional Generative Adversarial Networks. CoRR (2019)
Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling
On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR (2019)