M.Sc. Nick Theisen
Research Associate of the Active Vision Group
Research
My research is focused on hyperspectral image analysis and machine learning in computer vision contexts. This includes semantic segmentation of hyperspectral images using classical methods as well as artificial neural networks.
Theses
I offer bachelor and master theses related to the above mentioned topics. If you are interested just get in touch with me.
Publications
2020
Memmesheimer2020GSD 
Memmesheimer, Raphael; Theisen, Nick; Paulus, Dietrich (2020): Gimme Signals: Discriminative signal encoding for multimodal activity recognition. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, NV, USA: IEEE.
Memmesheimer, Raphael; Theisen, Nick; Paulus, Dietrich (2020): Gimme Signals: Discriminative signal encoding for multimodal activity recognition. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, NV, USA: IEEE.
Memmesheimer2020RIB
Memmesheimer, Raphael; Kramer, Ivanna; Seib, Viktor; Theisen, Nick; Paulus, Dietrich (2020): Robotic Imitation by Markerless Visual Observation and Semantic Associations. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE.
Memmesheimer, Raphael; Kramer, Ivanna; Seib, Viktor; Theisen, Nick; Paulus, Dietrich (2020): Robotic Imitation by Markerless Visual Observation and Semantic Associations. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE.
Memmesheimer2020SSL
Memmesheimer, Raphael; Theisen, Nick; Paulus, Dietrich (2020): SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition. In: 2020 25th International Conference on Pattern Recognition (ICPR). Milan, Italy: IEEE.
Memmesheimer, Raphael; Theisen, Nick; Paulus, Dietrich (2020): SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition. In: 2020 25th International Conference on Pattern Recognition (ICPR). Milan, Italy: IEEE.
2019
Theisen2019VDT
Theisen, Nick; Paulus, Dietrich (2019): Verbessern der temporalen {K}ohärenz in semantisch segmentierten, multispektralen {B}ildsequenzen. In: Püschel, Frank; Stanke, Gerd; Pochanke, Michael: Tagungsband zum 24. Workshop Farbbildverarbeitung. Berlin, Germany: Gesellschaft zur Förderung angewandter Informatik e.V.. Bd. 24. S. 75-85.
Theisen, Nick; Paulus, Dietrich (2019): Verbessern der temporalen {K}ohärenz in semantisch segmentierten, multispektralen {B}ildsequenzen. In: Püschel, Frank; Stanke, Gerd; Pochanke, Michael: Tagungsband zum 24. Workshop Farbbildverarbeitung. Berlin, Germany: Gesellschaft zur Förderung angewandter Informatik e.V.. Bd. 24. S. 75-85.
Seib2019B3S
Seib, Viktor; Theisen, Nick; Paulus, Dietrich (2019): Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks. In: Tremeau, Alain; Farinella, Giovanni Maria; Braz, Jose : Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress. Bd. 5. S. 257 - 264.
Seib, Viktor; Theisen, Nick; Paulus, Dietrich (2019): Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks. In: Tremeau, Alain; Farinella, Giovanni Maria; Braz, Jose : Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress. Bd. 5. S. 257 - 264.
2018
Memmesheimer2018R2H1
Memmesheimer, Raphael; Wettengel, Niklas Yann; Debald, Lukas; Eckert, Anatoli; Möhlenhof, Thies; Evers, Tobias; Heuer, Gregor; Theisen, Nick; Buchhold, Lukas; Eisenmenger, Jannis; Häring, Simon; Paulus, Dietrich (2018): RoboCup 2018 - homer@UniKoblenz (Germany). Universität Koblenz-Landau, Fachbereich Informatik. Nr. 4/2018. Arbeitsberichte aus dem Fachbereich Informatik.
Memmesheimer, Raphael; Wettengel, Niklas Yann; Debald, Lukas; Eckert, Anatoli; Möhlenhof, Thies; Evers, Tobias; Heuer, Gregor; Theisen, Nick; Buchhold, Lukas; Eisenmenger, Jannis; Häring, Simon; Paulus, Dietrich (2018): RoboCup 2018 - homer@UniKoblenz (Germany). Universität Koblenz-Landau, Fachbereich Informatik. Nr. 4/2018. Arbeitsberichte aus dem Fachbereich Informatik.