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Nick Theisen
Nick Theisen
Wissenschaftlicher Mitarbeiter, Universität Koblenz-Landau
Verifierad e-postadress på uni-koblenz.de
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Gimme signals: Discriminative signal encoding for multimodal activity recognition
R Memmesheimer, N Theisen, D Paulus
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
612020
Skeleton-dml: Deep metric learning for skeleton-based one-shot action recognition
R Memmesheimer, S Häring, N Theisen, D Paulus
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
422022
Sl-dml: Signal level deep metric learning for multimodal one-shot action recognition
R Memmesheimer, N Theisen, D Paulus
2020 25th International conference on pattern recognition (ICPR), 4573-4580, 2021
402021
Reconstruction of 1D images with a neural network for magnetic particle imaging
A von Gladiss, R Memmesheimer, N Theisen, AC Bakenecker, TM Buzug, ...
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
102022
Signal level deep metric learning for multimodal one-shot action recognition
R Memmesheimer, N Theisen, D Paulus
arXiv preprint arXiv:2004.11085 7, 2020
102020
Data augmentation for training a neural network for image reconstruction in MPI
A von Gladiss, I Kramer, N Theisen, R Memmesheimer, AC Bakenecker, ...
International Journal on Magnetic Particle Imaging IJMPI 8 (1 Suppl 1), 2022
52022
Gimme signals: Discriminative signal encoding for multimodal activity recognition. In 2020 IEEE
R Memmesheimer, N Theisen, D Paulus
RSJ International Conference on Intelligent Robots and Systems (IROS), 10394 …, 0
5
Markerless visual robot programming by demonstration
R Memmesheimer, I Mykhalchyshyna, V Seib, N Theisen, D Paulus
arXiv preprint arXiv:1807.11541, 2018
42018
Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks.
V Seib, N Theisen, D Paulus
VISIGRAPP (5: VISAPP), 257-264, 2019
32019
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios
N Theisen, R Bartsch, D Paulus, P Neubert
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
12024
Online Calibration of Extrinsic Parameters for Solid-State LIDAR Systems
MO Mints, R Abayev, N Theisen, D Paulus, A von Gladiss
Sensors 24 (7), 2155, 2024
12024
Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture
MO Mints, N Theisen, P Neubert, D Paulus
2023 IEEE SENSORS, 1-4, 2023
12023
Robotic Imitation by Markerless Visual Observation and Semantic Associations
R Memmesheimer, I Kramer, V Seib, N Theisen, D Paulus
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
12020
Reconstruction of 1D Images with a Neural Network for Magnetic Particle Imaging
A Gladiss, R Memmesheimer, N Theisen, AC Bakenecker, T Buzug, ...
2022
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Artiklar 1–14