Hi! I am a research associate with the Secure Software Engineering Group at the DLR Institute of Data Science in Jena. Previously, I worked with the Computer Vision Group at Friedrich-Schiller-Universität Jena. My research is about the integration of semantic knowledge and machine learning. I can help in situations where labeled data is scarce and labels are of questionable quality. Semantic knowledge can help fill the gap and interpret new types of data, for example imprecise labels. If you are interested, check out my CV and publications.

Selected publications

Self-Supervised Learning from Semantically Imprecise Data
VISAPP 2022 | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
ICPR 2020 | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers
ACPR 2019 | pdf
Clemens-Alexander Brust and Joachim Denzler

See more of my publications here!


  • CHIA: Concept hierarchies for incremental and active learning. GitHub
  • CHILLAX: Concept hierarchies for imprecise label learning and annotation extrapolation. GitHub
  • CN24: A deep learning library for semantic segmentation. Uses OpenCL for GPU acceleration. GitHub