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M.Sc. Björn Barz

Research Associate
Björn Barz


Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Phone: +49 (0) 3641 9 46416
Room: 1212
E-mail: bjoern (dot) barz (at) uni-jena (dot) de
GitHub: GitHub Callidior

Curriculum Vitæ

since 2016 PhD Student
Friedrich Schiller University Jena, Computer Vision Group
Research topic: "Semantic and Interactive Content-based Image Retrieval"
2014-2016 M.Sc. in Computer Science
Friedrich Schiller University Jena
Master's Thesis: "Detection of Anomalous Intervals in Multivariate Spatio-Temporal Time-Series"
2011-2014 B.Sc. in Computer Science
Friedrich Schiller University Jena
Bachelor's Thesis: "Interactive Learning of Object Detectors"

Research Interests

  • Deep Learning
  • Image Retrieval
  • Metric Learning
  • Active Learning
  • Object Detection
  • Natural Language Processing

Further Activities


Hierarchy-based Semantic Image Embeddings

Learn to embed images and classes into a semantic space where the dot product corresponds to the semantic similarity.

Interview with Björn Barz (in German) about this work in the German radio Deutschlandfunk (March 23rd, 2019):

Detecting Anomalous Regions in Multivariate Spatio-Temporal Time-Series

The "libmaxdiv" library (C++/Python) implements the "Maximally Divergent Intervals (MDI)" algorithm for detection of anomalous regions in multivariate spatio-temporal time-series.

Maximally Divergent Intervals

ARTOS - Adaptive Real-Time Object Detection System

Conveniently learn models for visual object detections with a few clicks - in just a few seconds!



Supervised Theses