Benjamin Kiefer

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. This meta data helps object detectors be more robust.

• Artifical Intelligence (Winter 2022)
• Introduction to Neural Networks (Summer 2022)
• 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)

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.

With ever more realistic simulations, we can generate data synthetically to augment or even replace real data entirely. For this reason, jointly with David Ott, we adapted and improved the tool DeepGTAV to work for UAV scenarios. If you are looking for the synthetically generated object detection data for UAV scenarios, find it here. Find the tool here.

We created an object detection and tracking benchmark for the use case of maritime search and rescue. Find it here or more information on the corresponding Github repository.

The Neuro meeting is a kind of paper reading club, which meets roughly every two weeks to discuss research and applications all kinds of foundations and novelties of neural networks. The central goal of this group is to broaden the horizon and keep an overview over this fast-paced field.

See a list of proposed and past topics at

https://cloud.cs.uni-tuebingen.de/index.php/s/a2gXdMG39cYFJbP

If you are interested to listen to or hold a talk or join regularly just drop me a mail.

Reviewed for:

• ICIP 2022
• ICPR 2022
• ECCV 2022
• WACV 2023
• ICRA 2023
• CVPR 2023