179 citations · 596 across the 9 of their papers we have counts for
10 papers
High Speed Human Action Recognition using a Photonic Reservoir Computer
Enrico Picco, Piotr Antonik, Serge Massar
The recognition of human actions in videos is one of the most active research fields in computer vision. The canonical approach consists in a more or less complex preprocessing sta…
Random pattern and frequency generation using a photonic reservoir computer with output feedback
Piotr Antonik, Michiel Hermans, Marc Haelterman +1
Reservoir computing is a bio-inspired computing paradigm for processing time dependent signals. The performance of its analogue implementations matches other digital algorithms on…
Online training for high-performance analogue readout layers in photonic reservoir computers
Piotr Antonik, Marc Haelterman, Serge Massar
Introduction. Reservoir Computing is a bio-inspired computing paradigm for processing time-dependent signals. The performance of its hardware implementation is comparable to state-…
Human action recognition with a large-scale brain-inspired photonic computer
Piotr Antonik, Nicolas Marsal, Daniel Brunner +1
The recognition of human actions in video streams is a challenging task in computer vision, with cardinal applications in e.g. brain-computer interface and surveillance. Deep learn…
Large-scale spatiotemporal photonic reservoir computer for image classification
Piotr Antonik, Nicolas Marsal, Damien Rontani
We propose a scalable photonic architecture for implementation of feedforward and recurrent neural networks to perform the classification of handwritten digits from the MNIST datab…
Bayesian optimisation of large-scale photonic reservoir computers
Piotr Antonik, Nicolas Marsal, Daniel Brunner +1
Introduction. Reservoir computing is a growing paradigm for simplified training of recurrent neural networks, with a high potential for hardware implementations. Numerous experimen…