PhD student at the Department of Cognitive Systems, University of Tübingen
M. Sc. Mathematics, University of Tübingen
2013 - 2016
B. Sc. Mathematics, University of Tübingen
Currently, I'm working on Deep Learning methods for Object Detection. More specifially, I try to improve Object Detectors by means of freely available meta/environmental data. Although perception can work without context, it is often leveraged by additional domain knowledge (e.g. on UAVs).
I'm part of the Avalon project. This project's goal is to build autonomous vision-based AIs aboard a UAV to assist in maritime emergencies at north sea and baltic sea.
|2020||Bachelor thesis||Sampling Useful Synthetic Data for UAV Object Detection|
|2020||Bachelor thesis|| |
Domain Adaptation for Object Detection on UAVs
|2021||Bachelor thesis||Maritime Anomaly Detection Using Autoencoders|
|2021||Bachelor thesis||Accelerating DNN Training Using Weight Extrapolation|
|||Benjamin Kiefer, Martin Meßmer and Andreas Zell. "Leveraging domain labels for object detection from UAVs" (2020, preprint)|
|||Martin Meßmer, Benjamin Kiefer and Andreas Zell. "Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing" (2020, preprint)|
|||Leon Varga, Benjamin Kiefer, Martin Meßmer and Andreas Zell. "SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water" (2021, preprint)|