Dr.-Ing. Thomas Käster, PhD

Data Scientist, Project Manager
Raum 1.018
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck
Email: | kaester(at)inb.uni-luebeck.de |
Phone: | +49 451 8836818 |
Fax: | +49 451 8836819 |
Curriculum Vitae
Research interests
The research interests of Thomas Kaester lie in the field of computer vision, pattern recognition, machine learning, image processing, and computer graphics. In particular, he is interested in:
- big data and analysis
- object detection, tracking and recognition
- human-machine interaction
- medical image processing
- action detection and classification in videos
- computer animation and visualization
- the design of intelligent / cgnitive vision systems
- image and video retrieval (including short-term and long-term learning)
- industrial image processing
TEACHING
SUPERVISION - Theses
Current:
Mathis Lichtenberger | Bachelor | iPhone Foto App Entwicklung |
Finished:
Florian Markowsky | Bachelor | Konzeption und Implementierung eines Systems zu Time-of-Flight Kamera basierter Navigation in Videos |
Dirk Hansen | Diplom | Fast Object Detection |
Michael Brehler | Master | Tissue Segmentation and Analysis |
Tobias Meyer | Master | Object Recognition and Retrieval |
Kai Röhr | Bachelor | Image Stitching and Mosaicing |
Tobias Mende | Bachelor | Merkmalsbasierte Qualitäts- und Ästhetikbewertung von Fotografien |
Sebastian Fischer | Bachelor | Computergestützte Herstellung von Biochips durch den Einsatz von Bildverarbeitungsmethoden |
Frederick Kaiser | Bachelor | Einsatz digitaler Bildverarbeitung zur Analyse von Zellkulturen |
Thomas Klähn | Diplom | Konzeption und Implementierung eines Systems zur inhaltsbasierten Bildsuche |
Marten Heidemeyer (Bachelor) | Bachelor | Object Recognition and Scene Classification |
Imre Goretzki | Autobildkollage | |
Jason Krause | Bachelor | Entwicklung einer Stereobild-basierten Anwendung auf einer Mobilplattform |
OPEN Thesis TOPICS
- Brain Tissue Segmentation and Analysis (Mdical Image processing)
- Automatic Image Tagging (Computer Vision)
- Object Detection (Computer Vision)
- Scene Classification(Computer Vision
Internships
- Christina Kluck, 01.10.2012 bis 28.02.2013: Klassifikation von Zellen mittels Durchlichtaufnahmen.
Student Assistants
- Sebastian Fischer
- Marvin Töllner
- Sven Friedrichs
Former Student Assistants
- Folke Will
- Uinonah Weise
Projects
- Project manager of cooperation with EUROIMMUN AG
Publikationen
2015
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Lars Hertel and Erhardt Barth and Thomas Käster and Thomas Martinetz: Deep Convolutional Neural Networks as Generic Feature Extractors. in Proc. 2015 IEEE International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015
@inproceedings{HeBaKaMa15, author = {Lars Hertel and Erhardt Barth and Thomas K{\"a}ster and Thomas Martinetz}, title = {Deep {C}onvolutional {N}eural {N}etworks as {G}eneric {F}eature {E}xtractors}, booktitle = {Proc. 2015 {IEEE} International Joint Conference on Neural Networks (IJCNN)}, address = {Killarney, Ireland}, owner = {Hertel}, year = {2015}, timestamp = {2015.05.13}, url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/HeBaKaMa15.pdf}, }
2014
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Bogdan Miclut and Thomas Käster and Thomas Martinetz and Erhard Barth: Committees of deep feedforward networks trained with few data. arXiv:1406.5947v1[cs.CV], 2014
@article{MiKaMaBa14, author = {Bogdan Miclut and Thomas K{\"a}ster and Thomas Martinetz and Erhard Barth }, title = {Committees of deep feedforward networks trained with few data}, journal = {arXiv:1406.5947v1[cs.CV]}, year = {2014}, url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/MiKaMaBa14.pdf}, }
2013
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Mike Wellner and Thomas Käster and Thomas Martinetz and Erhardt Barth: Optimizing depth-of-field based on a range map and a wavelet transform. in Mobile Computational Photography, no. 8667D, Proceedings of SPIE, 2013
@inproceedings{WeKaMaBa13, author = {Mike Wellner and Thomas K{\"a}ster and Thomas Martinetz and Erhardt Barth}, title = {Optimizing depth-of-field based on a range map and a wavelet transform}, booktitle = {Mobile Computational Photography}, publisher = {Proceedings of SPIE}, year = {2013}, volume = {8667D}, url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/WeKaMaBa13.pdf}, }
2012
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T. Binder and F. Kriener and C. Wichner and M. Wille and M. Wellner and T. Käster and T. Martinetz and E. Barth: How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series. in Human Vision and Electronic Imaging XVII, no. 8291, 2012
@inproceedings{BiKrWiWiWeKaMaBa12, author = {T. Binder and F. Kriener and C. Wichner and M. Wille and M. Wellner and T. K{\"a}ster and T. Martinetz and E. Barth}, title = {How to make a small phone camera shoot like a big {DSLR}: creating and fusing multi-modal exposure series}, booktitle = {Human Vision and Electronic Imaging XVII}, series = {Proceedings SPIE}, volume = {8291}, year = {2012}, doi = {10.1117/12.905560}, url = {http://webmail.inb.uni-luebeck.de/inb-publications/pdfs/BiKrWiWiWeKaMaBa12.pdf}, }