Moritz Venator - Pattern Recognition Lab

Moritz Venator, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room T12 / 04-30
Auto-Union-Straße 1
85045 Ingolstadt

Phone number: +4984189768160
Fax number: +49 9131 85-27270
Email: moritz.venator@fau.de
Website: https://lme.tf.fau.de/person/venator/

Academic CV

Since 07/2017:
Researcher at Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
Cooperation project with Department of Camera Systems Development, AUDI AG, Ingolstadt, Germany
04/2015 – 03/2017:
Student at Technische Universität München, Munich, Germany
Electrical Engineering and Information Technology (M.Sc.)

Projects

No projects found.

Publications

2021

Journal Articles

Venator M., El Himer Y., Aklanoglu S., Bruns E., Maier A.:
Self-Supervised Learning of Domain-Invariant Local Features for Robust Visual Localization under Challenging Conditions
In: IEEE Robotics and Automation Letters (2021)
ISSN: 2377-3766
DOI: 10.1109/LRA.2021.3059571
URL: https://ieeexplore.ieee.org/document/9354898
BibTeX: Download
Venator M., Aklanoglu S., Bruns E., Maier A.:
Enhancing Collaborative Road Scene Reconstruction with Unsupervised Domain Alignment
In: Machine Vision and Applications (2021)
ISSN: 1432-1769
DOI: 10.1007/s00138-020-01144-8
BibTeX: Download

2020

Conference Contributions

Venator M., Shen F., Aklanoglu S., Bruns E., Diepold K., Maier A.:
Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation
The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 (Snowmass Village, Colorado, March 1, 2020 - March 5, 2020)
In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
DOI: 10.1109/WACV45572.2020.9093401
URL: https://ieeexplore.ieee.org/abstract/document/9093401
BibTeX: Download

2019

Journal Articles

Venator M., Bruns E., Maier A.:
Robust Camera Pose Estimation for Unordered Road Scene Images in Varying Viewing Conditions
In: IEEE Transactions on Intelligent Vehicles 5 (2019), p. 165 - 174
ISSN: 2379-8858
DOI: 10.1109/TIV.2019.2955375
URL: https://ieeexplore.ieee.org/abstract/document/8910493
BibTeX: Download

Lectures

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