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Dr. rer. nat. Sven Sickert

Research Associate

Contact

Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Germany
Phone: +49 (0) 3641 9 46424
E-mail: sven (dot) sickert (at) uni-jena (dot) de
Room: 1211

Curriculum Vitæ

 since 2019
  Team Leader: "Learning from 3D and Unstructured Data"
Computer Vision Group, Friedrich Schiller University Jena
 since 2019
  Lecturer & Study Program Coordinator for Computer Science studies
Institute for Computer Science Jena, Friedrich Schiller University Jena
 Apr 2013 to Dec 2018
  Research Associate / PhD Student
Computer Vision Group, Friedrich Schiller University Jena
PhD Thesis: "Semantic Segmentation of 3D Data using Contextual Cues"
 Oct 2007 to Dec 2012
  Studies in Computer Science (Diploma)
Friedrich Schiller University Jena
Focus: Digital Image Processing / Computer Vision
Diploma Thesis: "Strategien des Aktiven Lernenes" ("Strategies in Active Learning")

Summer term 2021

Winter term 2020/2021

Supervised Theses

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

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!

Publications