Germain Haessig

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Cerebellar Model

Spiking Neural Networks

Top Venues

Publications

Gerald Ebmer, Adam Loch, Minh Nhat Vu, Roberto Mecca, Germain Haessig, Christian Hartl-Nesic, Markus Vincze, Andreas Kugi
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers. WACV (2024)
Germain Haessig, Damien Joubert, Justin Haque, Moritz B. Milde, Tobi Delbruck, Viktor Gruev
PDAVIS: Bio-inspired Polarization Event Camera. CVPR Workshops (2023)
Gerald Ebmer, Adam Loch, Minh Nhat Vu, Germain Haessig, Roberto Mecca, Markus Vincze, Christian Hartl-Nesic, Andreas Kugi
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers. CoRR (2023)
Tobi Delbruck, Zuowen Wang, Haiyang Mei, Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Viktor Gruev
Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events. CVPR Workshops (2023)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. CoRR (2022)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. ISCAS (2022)
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
An error-propagation spiking neural network compatible with neuromorphic processors. CoRR (2021)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. AICAS (2021)
Adam Loch, Germain Haessig, Markus Vincze
Event-Based high-speed low-latency fiducial marker tracking. CoRR (2021)
Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Tobi Delbrück, Viktor Gruev
Bio-inspired Polarization Event Camera. CoRR (2021)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. CoRR (2021)
Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek
A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting. ISCAS (2020)
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
An error-propagation spiking neural network compatible with neuromorphic processors. AICAS (2020)
Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas
Lessons Learned the Hard Way. ISCAS (2020)
Germain Haessig, Francesco Galluppi, Xavier Lagorce, Ryad Benosman
Neuromorphic networks on the SpiNNaker platform. AICAS (2019)
Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard
Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System. IEEE Trans. Biomed. Circuits Syst. 12 (4) (2018)
Germain Haessig, Ryad Benosman
A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors. CoRR (2018)
Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System. CoRR (2017)