4 papers
CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4
Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, bo…
Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware
Arunkumar Rathinam, Jules Lecomte, Jost Reelsen +3
Reliable relative pose estimation is a key enabler for autonomous rendezvous and proximity operations, yet space imagery is notoriously challenging due to extreme illumination, hig…
TONUS: Neuromorphic human pose estimation for artistic sound co-creation
Jules Lecomte, Konrad Zinner, Michael Neumeier +1
Human machine interaction is a huge source of inspiration in today's media art and digital design, as machines and humans merge together more and more. Its place in art reflects it…
Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
Thomas E. Huber, Jules Lecomte, Borislav Polovnikov +1
Spiking neural networks (SNNs) present a promising computing paradigm for neuromorphic processing of event-based sensor data. The resonate-and-fire (RF) neuron, in particular, appe…