Nick Theisen

According to our database, Nick Theisen authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Online Calibration of Extrinsic Parameters for Solid-State LIDAR Systems.

Mark O. Mints, Roman Abayev, Nick Theisen, Dietrich Paulus, Anselm von Gladiss

Sensors, April, 2024

HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios.

Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture.

Mark O. Mints, Nick Theisen, Peer Neubert, Dietrich Paulus

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition.

Raphael Memmesheimer, Simon Häring, Nick Theisen, Dietrich Paulus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Reconstruction of 1D Images with a Neural Network for Magnetic Particle Imaging.

Anselm von Gladiss, Raphael Memmesheimer, Nick Theisen, Anna C. Bakenecker, Thorsten M. Buzug, Dietrich Paulus

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2020

Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition.

Raphael Memmesheimer, Nick Theisen, Dietrich Paulus

CoRR, 2020

Gimme Signals: Discriminative signal encoding for multimodal activity recognition.

Raphael Memmesheimer, Nick Theisen, Dietrich Paulus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition.

Raphael Memmesheimer, Nick Theisen, Dietrich Paulus

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Robotic Imitation by Markerless Visual Observation and Semantic Associations.

Raphael Memmesheimer, Ivanna Kramer, Viktor Seib, Nick Theisen, Dietrich Paulus

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019

Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks.

Viktor Seib, Nick Theisen, Dietrich Paulus

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Markerless Visual Robot Programming by Demonstration.

Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Nick Theisen, Dietrich Paulus

CoRR, 2018