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Moritz Milde
Moritz Milde
Post doctoral fellow, International Centre for Neuromorphic Systems (ICNS), Western Sydney
Verified email at westernsydney.edu.au - Homepage
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Nullhop: A flexible convolutional neural network accelerator based on sparse representations of feature maps
A Aimar, H Mostafa, E Calabrese, A Rios-Navarro, R Tapiador-Morales, ...
IEEE transactions on neural networks and learning systems 30 (3), 644-656, 2018
2982018
Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system
MB Milde, H Blum, A Dietmüller, D Sumislawska, J Conradt, G Indiveri, ...
Frontiers in neurorobotics 11, 28, 2017
902017
A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor
H Blum, A Dietmüller, M Milde, J Conradt, G Indiveri, Y Sandamirskaya
Robotics Science and Systems, RSS 2017, 2017
472017
Spiking elementary motion detector in neuromorphic systems
MB Milde, OJN Bertrand, H Ramachandran, M Egelhaaf, E Chicca
Neural computation 30 (9), 2384-2417, 2018
392018
Bioinspired event-driven collision avoidance algorithm based on optic flow
MB Milde, OJN Bertrand, R Benosmanz, M Egelhaaf, E Chicca
2015 International Conference on Event-based Control, Communication, and …, 2015
362015
Event-based eccentric motion detection exploiting time difference encoding
G D'Angelo, E Janotte, T Schoepe, J O'Keeffe, MB Milde, E Chicca, ...
Frontiers in neuroscience 14, 520308, 2020
292020
Event-based computation for touch localization based on precise spike timing
G Haessig, MB Milde, PV Aceituno, O Oubari, JC Knight, A Van Schaik, ...
Frontiers in neuroscience 14, 520495, 2020
232020
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation
MB Milde, D Neil, A Aimar, T Delbruck, G Indiveri
arXiv preprint arXiv:1711.04713, 2017
142017
Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems
MB Milde, A Dietmüller, H Blum, G Indiveri, Y Sandamirskaya
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
142017
teili: A toolbox for building and testing neural algorithms and computational primitives using spiking neurons
M Milde, A Renner, R Krause, AM Whatley, S Solinas, D Zendrikov, N Risi, ...
Unreleased software, Institute of Neuroinformatics, University of Zurich and …, 2018
82018
Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments
T Schoepe, E Janotte, MB Milde, OJN Bertrand, M Egelhaaf, E Chicca
arXiv preprint arXiv:2102.08417, 2021
72021
Event-based eccentric motion detection exploiting time difference encoding Front
G D˘Angelo, E Janotte, T Schoepe, J O˘Keeffe, MB Milde, E Chicca, ...
Neurosci 14 (451), 10.3389, 2020
52020
Neuromorphic engineering needs closed-loop benchmarks
MB Milde, S Afshar, Y Xu, A Marcireau, D Joubert, B Ramesh, Y Bethi, ...
Frontiers in Neuroscience 16, 813555, 2022
42022
Bio-inspired Polarization Event Camera
G Haessig, D Joubert, J Haque, Y Chen, M Milde, T Delbruck, V Gruev
arXiv preprint arXiv:2112.01933, 2021
42021
Neurally-inspired robotic controllers implemented on neuromorphic hardware
MB Milde, D Sumislawska, Y Sandamirskaya, G Indiveri
Bionik: Patente aus der Natur, 268-274, 2016
42016
PDAVIS: Bio-inspired Polarization Event Camera
G Haessig, D Joubert, J Haque, MB Milde, T Delbruck, V Gruev
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Division of focal plane asynchronous polarization imager
V Gruev, G Haessig, D Joubert, J Haque, Y Chen, M Milde, T Delbruck
Polarization: Measurement, Analysis, and Remote Sensing XV 12112, 1211208, 2022
32022
Spike-based computational primitives for vision-based scene understanding
MB Milde
University of Zurich, 2019
32019
Finding the gap: neuromorphic motion-vision in dense environments
T Schoepe, E Janotte, MB Milde, OJN Bertrand, M Egelhaaf, E Chicca
Nature Communications 15 (1), 817, 2024
22024
Live Demo: E2P-Events to Polarization Reconstruction From PDAVIS Events
T Delbruck, Z Wang, H Mei, G Haessig, D Joubert, J Haque, Y Chen, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
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