Germain Haessig

19 papers A 1C 4Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A conf
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers.
WACV
Gerald Ebmer, Adam Loch, Minh Nhat Vu, Roberto Mecca, Germain Haessig, Christian Hartl-Nesic, Markus Vincze, Andreas Kugi
2023 — conf
Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events.
CVPR Workshops
Tobi Delbruck, Zuowen Wang, Haiyang Mei, Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Viktor Gruev
2023 — conf
PDAVIS: Bio-inspired Polarization Event Camera.
CVPR Workshops
Germain Haessig, Damien Joubert, Justin Haque, Moritz B. Milde, Tobi Delbruck, Viktor Gruev
2023 J jnl
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers.
CoRR
Gerald Ebmer, Adam Loch, Minh Nhat Vu, Germain Haessig, Roberto Mecca, Markus Vincze, Christian Hartl-Nesic, Andreas Kugi
2022 C conf
Event-based high-speed low-latency fiducial marker tracking.
ICMV
Adam Loch, Germain Haessig, Markus Vincze
2022 C conf
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
ISCAS
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2022 J jnl
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
CoRR
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2021 J jnl
An error-propagation spiking neural network compatible with neuromorphic processors.
CoRR
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
2021 J jnl
Bio-inspired Polarization Event Camera.
CoRR
Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Tobi Delbruck, Viktor Gruev
2021 J jnl
Event-Based high-speed low-latency fiducial marker tracking.
CoRR
Adam Loch, Germain Haessig, Markus Vincze
2021 — conf
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks.
AICAS
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
2021 J jnl
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks.
CoRR
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
2020 C conf
A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting.
ISCAS
Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek
2020 — conf
An error-propagation spiking neural network compatible with neuromorphic processors.
AICAS
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
2020 C conf
Lessons Learned the Hard Way.
ISCAS
Tobi Delbruck, 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
2019 — conf
Neuromorphic networks on the SpiNNaker platform.
AICAS
Germain Haessig, Francesco Galluppi, Xavier Lagorce, Ryad Benosman
2018 J jnl
A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors.
CoRR
Germain Haessig, Ryad Benosman
2018 J jnl
Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System.
IEEE Trans. Biomed. Circuits Syst.
Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard
2017 J jnl
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System.
CoRR
Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard