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Axel Sauer
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Axel Sauer

PhD student

University of Tübingen and MPI for Intelligent Systems

About

Hi! I am a Ph.D. student at the Autonomous Vision Group at the University of Tübingen. Currently, I am interested in training deep generative models better, faster, and more efficient.

Interests

  • Generative Modelling
  • Neural Network Architectures
  • Empirical Research

Education

  • Ph.D. in Computer Science, Present

    University of Tübingen

  • M.Sc. in Mechanical Engineering, 2018

    Karlsruhe Institute of Technology

    Top 5% of class, graduated with distinction

  • B.Sc. in Mechanical Engineering, 2015

    Karlsruhe Institute of Technology

    Top 5% of class

Publications

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids

Preprint
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger
Project PDF Code

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Published at SIGGRAPH 2022
Axel Sauer, Katja Schwarz, Andreas Geiger
Project PDF Code

Projected GANs Converge Faster

Published at NeurIPS 2021
Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
Project PDF Supplementary Code Talk

Counterfactual Generative Networks

Published at ICLR 2021
Presented at the Causality in Vision Workshop, CVPR 2021 (oral)
Axel Sauer & Andreas Geiger
Project PDF Code Music Video Talk Blog

Zoomorphic Gestures for Communicating Cobot States

Published in Robotics and Automation Letters (RA-L)
Presented at ICRA 2021
Vanessa Sauer, Axel Sauer, Alexander Mertens
Project PDF Video Press

How to Make Deep RL Work in Practice

Presented at the Deep RL workshop, NeurIPS 2020
Nirnai Rao*, Elie Aljalbout*, Axel Sauer*, Sami Haddadin (*Shared first authorship)
Project PDF Code Video

Tracking Holistic Object Representations

Published at BMVC 2019 (oral)
Best Science Paper Award. (1 out of 1008 submissions)
Axel Sauer*, Elie Aljalbout*, Sami Haddadin (*Shared first authorship)
Project PDF Supplementary Code Video Blog

Conditional Affordance Learning for Driving in Urban Environments

Published at CoRL 2018 (oral)
Nominated for the Best Systems Paper Award.
Axel Sauer, Nikolay Savinov, Andreas Geiger
Project PDF Supplementary Code Video Talk Blog

© Axel Sauer · Using Academic for Hugo.

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