Benjamin Kiefer

Background

Since 2019

PhD student at the Department of Cognitive Systems, University of Tübingen

2016-2019

M. Sc. Mathematics, University of Tübingen

2013 - 2016

B. Sc. Mathematics, University of Tübingen

Research Interests

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).

Teaching Assistantships

Proseminar: Topics in Deep Neural Networks (Winter 2021)
Team Project: Developing a Web-based Evaluation Application for Deep Neural Network Tasks (Summer 2021)
Einführung in die technische Informatik (Winter 2020)
Mathematik II (Summer 2020)
Deep Neural Networks (Winter 2019)

Avalon Project

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.

Supervised Theses

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

Publications

[1]	Benjamin Kiefer, Martin Meßmer and Andreas Zell. "Leveraging domain labels for object detection from UAVs" (2020, preprint)
[2]	Martin Meßmer, Benjamin Kiefer and Andreas Zell. "Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing" (2020, preprint)
[3]	Leon Varga, Benjamin Kiefer, Martin Meßmer and Andreas Zell. "SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water" (2021, preprint)