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Dr. rer. nat. Sven Sickert

Research Associate


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 46424
E-mail: sven (dot) sickert (at) uni-jena (dot) de
Room: 1211

Curriculum Vitæ

  • since 2019: Research associate with focus on Learning from 3D and Unstructured Data
  • since 2019: Lecturer at the Institute for Computer Science Jena and coordinator for Computer Science studies (B.Sc., M.Sc.)
  • 2018: Doctoral Thesis: "Semantic Segmentation of 3D Data using Contextual Cues"
  • 2013-2018: PhD student and teaching assistant at the Computer Vision Group Jena
  • 2012: Diploma Thesis "Strategien des aktiven Lernens" ("Strategies in Active Learning")
  • 2007-2012: Studies in Computer Science at Friedrich Schiller University Jena

Research Interests

  • Semantic Segmentation
  • 3D Point Cloud Analysis
  • Representation Learning


Summer term 2021

Winter term 2020/2021

Supervised Theses

  • Spherical Convolutions at Anatomical Landmarks for Facial Analysis Tasks (Xu Yang, Master thesis, 2021)
  • 3D-Momente Invarianten auf Basis gelernter Triangulierungen zur semantischen Analyse von 3D-Punktwolken (Felix Fleisch, Bachelor thesis, 2021)
  • Integrating Hierarchical Knowledge for Medical Image Analysis Tasks (Selina Müller, Master thesis, 2019)
  • Application and Analysis of Generative Adversarial Network for Non-Supervised Anomaly Detection in Colonoscopy Imaging (David Pertzborn, Master thesis, 2019)
  • Improving Semantic Segmentation of Polyps in Coloscopic Data using Augmentation Techniques (Marie Arlt, Master thesis, 2019)
  • Semantische Segmentierung von sequenziellen Bilddaten mittels Rekurrenter Neuronaler Netze (Martin Nußbaum, Bachelor thesis, 2017)
  • Fahrbahnsegmentierung mittels echtzeitfähiger Convolutional Networks in eingebetteten Systemen (Christopher Manthey, Master thesis, 2016)
  • Analyse verschiedener Demosaicing-Verfahren für Aufgaben der Fahrbahnerkennung (Matthias Reuse, Bachelor thesis, 2016)
  • Semantische Segmentierung mittels Iterative Context Forests für große Mehrklassenprobleme (Christoph Runge, Bachelor thesis, 2015)
  • Semantische Segmentierung mittels Convolutional Networks für die automatische Fahrbahnsegmentierung (Clemens-Alexander Brust, Bachelor thesis, 2014)

If you are interested in doing a Bachelor's or Master's thesis in the area of computer vision, you are very welcome to contact me!