Dr. rer. nat. Sven Sickert
| Address: | Computer Vision Group |
| Department of Mathematics and Computer Science | |
| Friedrich Schiller University of Jena | |
| Inselplatz 5 | |
| 07743 Jena | |
| Germany | |
| Phone: | +49 (0) 3641 9 46424 |
| E-mail: | sven (dot) sickert (at) uni-jena (dot) de |
| Room: | 3024 |
| Links: | GoogleScholar, Mastodon, ORCID |
Curriculum Vitae
| since 2019 | Research Associate | |
| 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 | ||
| 2019 – 2022 | Team Leader: “Learning from 3D and Unstructured Data” | |
| Computer Vision Group, Friedrich Schiller University Jena | ||
| 2013 – 2018 | PhD Student | |
| Computer Vision Group, Friedrich Schiller University Jena | ||
| PhD Thesis: “Semantic Segmentation of 3D Data using Contextual Cues” | ||
| 2007 – 2012 | Studies in Computer Science (Diploma) | |
| Friedrich Schiller University Jena | ||
| Focus: Image Processing / Computer Vision | ||
| Diploma Thesis: “Strategien des Aktiven Lernens” (“Strategies in Active Learning”) |
Research Interests
- 3D Point Cloud Analysis
- Representation Learning
- Semantic Segmentation
- Medical Image Understanding
Projects
Ongoing
Former
- Semantic 3D Point Cloud Analysis of Outdoor Scenes
- 4D Presentation Attack Detection
- Semantic Volume Segmentation of Bio-Medical Image Data
- Urban Scene Understanding
Reviewer Activities
Journals
- IEEE Transactions on Image Processing
- Expert Systems With Applications
- IET Computer Vision
- Remote Sensing
Conferences
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2025)
- DAGM German Conference on Pattern Recognition (DAGM-GCPR, 2025)
- International Conference on Machine Vision and Applications (MVA, 2025)
- European Conference on Computer Vision (ECCV, 2024)
- Asian Conference on Computer Vision (ACCV, 2022)
- UK Conference on Medical Image Understanding and Analysis (MIUA, 2020)
Teaching
Winter term 2025/2026
- Seminar Fortgeschrittene Methoden im Rechnersehen
- Grundlagen informatischer Problemlösung – Grundlagen der Programmierung with Prof. Clemens Grelck
- Fortgeschrittenes Programmierpraktikum with Prof. Wolfram Amme
- Spezielle Probleme im Rechnersehen with Prof. Joachim Denzler
- Grundlagen der Programmierung mit Python (Teil 2) with Prof. Matthias Hagen
Summer term 2025
- Objektorientierte Programmierung mit C++ (ASQ)
- Programmieren in C++
- Spezielle Probleme im Rechnersehen with Prof. Joachim Denzler
- Objektorientierte Programmierung with Prof. Wolfram Amme
- Grundlagen der Programmierung mit Python (Teil 1) with Prof. Matthias Hagen
Supervised Theses
- Maria Gogolev: “Comparing and Modifying Distributions of Latent Diffusion Models to Impose Image Properties”. Master thesis, 2024. (joint supervision with Niklas Penzel and Tim Büchner)
- Chris Gerlach: “Erkennung und Evaluierung von Kopfgesten und Mimiken in Videoaufnahmen im Kontext der Verhaltensanalyse”. Master thesis, 2023. (joint supervision with Tim Büchner)
- Fateme Shafiei: “Classification of Facial Expression using Multivariate Surface Electromyography Timeseries”. Master thesis, 2022. (joint supervision with Tim Büchner)
- 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, check out our page on Final Theses!
Publications
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