Martin Meßmer
Background
Since 2019
PhD student at the Department of Cognitive Systems, University of Tübingen
2016 - 2019
MSc in Mathematics, University of Tübingen
2013 - 2016
BSc in Mathematics, University of Tübingen
Research Interests
- Deep Learning
- Computer Vision
- Object Detection
Teaching
- Assignment Class: Artificial Intelligence (Winter 2019/2020)
- Assignment Class: Mathematics for Computer Science II (Summer 2020)
- Assignment Class: Introduction to Technical Computer Science (Winter 2020/2021)
- Team Project: Developing a Web-based Evaluation Application for Deep Neural Network Tasks (Summer 2021)
- Assignment Class: Artificial Intelligence (Winter 2021/2022)
- Seminar: Current Topics in Deep Neural Networks (Summer 2022)
- Assignment Class: Artificial Intelligence (Winter 2022/2023)
Supervised Theses
| 2021 | Bachelor Thesis | Development of a Chess Framework in Python |
| 2021 | Bachelor Thesis | A Deep Neural Network to Recognize Handwritten Mathematical Formulas |
Publications
| [1] | Martin Messmer*, Benjamin Kiefer*, and Andreas Zell. Gaining scale invariance in uav bird's eye view object detection by adaptive resizing. August 2022. (Accepted for publication) (*Equal contribution). [ link ] |
| [2] | Leon Amadeus Varga*, Benjamin Kiefer*, Martin Messmer*, and Andreas Zell. SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 2260--2270, January 2022. (*Equal contribution). [ link ] |
| [3] | Benjamin Kiefer*, Martin Messmer*, and Andreas Zell. Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs. In 2021 20th International Conference on Advanced Robotics (ICAR), pages 523--530, December 2021. (*Equal contribution). [ DOI | link ] |