Markerless Visual Robot Programming by Demonstration. - Raphael Memmesheimer; Ivanna Mykhalchyshyna; Viktor Seib; Nick Theisen; Dietrich Paulus (CoRR, 2018)

Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks. - Viktor Seib; Nick Theisen; Dietrich Paulus (VISIGRAPP (5: VISAPP), 2019)

Robotic Imitation by Markerless Visual Observation and Semantic Associations. - Raphael Memmesheimer; Ivanna Kramer; Viktor Seib; Nick Theisen; Dietrich Paulus (ICARSC, 2020)

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition. - Raphael Memmesheimer; Nick Theisen; Dietrich Paulus (ICPR, 2020)

Gimme Signals: Discriminative signal encoding for multimodal activity recognition. - Raphael Memmesheimer; Nick Theisen; Dietrich Paulus (IROS, 2020)

Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition. - Raphael Memmesheimer; Nick Theisen; Dietrich Paulus (CoRR, 2020)

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 (Bildverarbeitung für die Medizin, 2022)

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition. - Raphael Memmesheimer; Simon Häring; Nick Theisen; Dietrich Paulus (WACV, 2022)

Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture. - Mark O. Mints; Nick Theisen; Peer Neubert; Dietrich Paulus (SENSORS, 2023)

HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios. - Nick Theisen; Robin Bartsch; Dietrich Paulus; Peer Neubert (IROS, 2024)

Online Calibration of Extrinsic Parameters for Solid-State LIDAR Systems. - Mark O. Mints; Roman Abayev; Nick Theisen; Dietrich Paulus; Anselm von Gladiss (Sensors, 2024)