• Home
• Group
  • Staff
  • Finding Us
  • Software
  • Pictures
  • Internal
• News
  • Press Releases
  • Information
  • Dates
• Lectures
  • Rechnersehen 1
  • Rechnersehen 2
  • Tiefe Lernverfahren
  • Visuelle Objekterkennung
  • Maschinelles Lernen und Datamining
  • Signal. Bildverarbeitung
  • Spezielle Probleme
  • Seminar Rechnersehen
  • Anwendungspraktikum
  • Image Processing
  • Informatik (B.Sc. Werkstoffwissenschaften)
  • Informatik I (B.Sc. Physik)
  • Informatik II (B.Sc. Physik)
  • Programmieren in C++ (B.Sc. Mathematik)
  • Objektorientierte Programmierung mit C++ (ASQ)
  • Online-Lehre im SoSe 21
  • Frühere Veranstaltungen
  • Final Theses
  • References
• Research
  • Lifelong Learning
  • Image Understanding
  • Learning from 3D and Unstructured Data
  • AMMOD
  • Finished Projects
  • Datasets
  • CNN Models
  • Understanding Deep Learning
• Publications
• Jobs and Applications
• Cooperations

Publication at ECCV 2020

Research from our group on interpreting deep neural networks has been accepted for publication at the European Conference on Computer Vision (ECCV) 2020!

• Determining the Relevance of Features for Deep Neural Networks by Christian Reimers, Jakob Runge and Joachim Denzler

The work will be presented as a poster during the fully-virtual conference from August 23-28, which was originally scheduled to take place in Glasgow.