Nick Theisen — accepted AI-conference papers

2024

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

Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert

IROS 2024poster

Semantic segmentation is an essential step for many vision applications in order to understand a scene and the objects within. Recent progress in hyperspectral imaging technology enables the application in driving scenarios and the hope is that the devices perceptive abilities provide an advantage o…

Cited by 2 Source ↗code ↗Scholar ↗

2020

Gimme Signals: Discriminative signal encoding for multimodal activity recognition

Raphael Memmesheimer, Nick Theisen, Dietrich Paulus

IROS 2020poster

We present a simple, yet effective and flexible method for action recognition supporting multiple sensor modalities. Multivariate signal sequences are encoded in an image and are then classified using a recently proposed EfficientNet CNN architecture. Our focus was to find an approach that generaliz…

Cited by 65 Source ↗code ↗Scholar ↗