Andreas Zell

Full Professor, Computer Science Dept., Eberhard-Karls-Universität Tübingen

Joined

July 2019

Names

Andreas Zell

Emails

****@uni-tuebingen.de (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Full Professor

Computer Science Dept., Eberhard-Karls-Universität Tübingen (uni-tuebingen.de)

1996 – Present

Advisors, Relations & Conflicts

Postdoc Advisor

Prof. Dr. Andreas Reuter

1989 – 1994

PhD Advisor

Prof. Dr. Gerhard Barth

1987 – 1989

Expertise

robotics

robot vision

deep learning

ML applications

UAVs

mobile robots

neural networks

Present

Publications

Real-Time Radar--Vision Association via Monocular Distance Estimation
Benjamin Kiefer, Dominik Hildebrand, Rafia Rahim, Mahmut Karaaslan, Michael DeFilippo, Ersin Kaya, Andreas Zell
- MaCVi Poster
- Readers: Everyone
Real-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
Marten Kreis, Dominik Hildebrand, Mahmut Karaaslan, Rafia Rahim, Andreas Zell, Ersin Kaya, Benjamin Kiefer
- MaCVi Poster
- Readers: Everyone
A multi-modal table tennis robot system
Andreas Ziegler, Thomas Gossard, Karl Vetter, Jonas Tebbe, Andreas Zell
- RoboLetics
- Readers: Everyone
HyperPosePDF Hypernetworks Predicting the Probability Distribution on SO(3)
Timon Höfer, Benjamin Kiefer, Martin Messmer, Andreas Zell
- 01 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
What to expect of hardware metric predictors in NAS
Kevin Alexander Laube, Maximus Mutschler, Andreas Zell
- Published: 16 May 2022, Last Modified: 05 May 2023
- AutoML-Conf 2022 (Main Track)
- Readers: Everyone
What to expect of hardware metric predictors in NAS
Kevin Alexander Laube, Maximus Mutschler, Andreas Zell
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training
Maximus Mutschler, Kevin Alexander Laube, Andreas Zell
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
Maximus Mutschler, Andreas Zell
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Exploring single-path Architecture Search ranking correlations
Kevin Alexander Laube, Andreas Zell
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Optimal assignment kernels for attributed molecular graphs
Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell
- 2005 (modified: 11 Nov 2022)
- ICML 2005
- Readers: Everyone

Andreas Zell

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors