16 citations · 23 across the 27 of their papers we have counts for
3 papers · 1 filter
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
Raphael Memmesheimer, Simon Häring, Nick Theisen +1
One-shot action recognition allows the recognition of human-performed actions with only a single training example. This can influence human-robot-interaction positively by enabling…
Gimme Signals: Discriminative signal encoding for multimodal activity recognition
Raphael Memmesheimer, Nick Theisen, Dietrich Paulus
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 t…
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Raphael Memmesheimer, Nick Theisen, Dietrich Paulus
Recognizing an activity with a single reference sample using metric learning approaches is a promising research field. The majority of few-shot methods focus on object recognition…