Publications (6)
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…
EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
Michael Neumeier, Jules Lecomte, Nils Kazinski +3
Recognizing human activities early is crucial for the safety and responsiveness of human-robot and human-machine interfaces. Due to their high temporal resolution and low latency,…
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig +5
Optical flow provides information on relative motion that is an important component in many computer vision pipelines. Neural networks provide high accuracy optical flow, yet their…
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…
Dynamic Event-based Optical Identification and Communication
Axel von Arnim, Jules Lecomte, Naima Elosegui Borras +2
Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a tra…