Bodo Rueckauer
Bodo Rueckauer
Postdoctoral Researcher, Donders Centre for Cognition
Bestätigte E-Mail-Adresse bei donders.ru.nl
Titel
Zitiert von
Zitiert von
Jahr
Conversion of continuous-valued deep networks to efficient event-driven networks for image classification
B Rueckauer, IA Lungu, Y Hu, M Pfeiffer, SC Liu
Frontiers in neuroscience 11, 682, 2017
2872017
Evaluation of event-based algorithms for optical flow with ground-truth from inertial measurement sensor
B Rueckauer, T Delbruck
Frontiers in neuroscience 10, 176, 2016
772016
Conversion of analog to spiking neural networks using sparse temporal coding
B Rueckauer, SC Liu
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
662018
Theory and tools for the conversion of analog to spiking convolutional neural networks
B Rueckauer, IA Lungu, Y Hu, M Pfeiffer
arXiv preprint arXiv:1612.04052, 2016
642016
Event-driven sensing for efficient perception: Vision and audition algorithms
SC Liu, B Rueckauer, E Ceolini, A Huber, T Delbruck
IEEE Signal Processing Magazine 36 (6), 29-37, 2019
222019
Closing the accuracy gap in an event-based visual recognition task
B Rückauer, N Känzig, SC Liu, T Delbruck, Y Sandamirskaya
arXiv preprint arXiv:1906.08859, 2019
72019
NxTF: An API and compiler for deep spiking neural networks on Intel Loihi
B Rueckauer, C Bybee, R Goettsche, Y Singh, J Mishra, A Wild
arXiv preprint arXiv:2101.04261, 2021
62021
New features of receptive fields in mouse retina through spike-triggered covariance
J Ahn, B Rueckauer, Y Yoo, YS Goo
Experimental neurobiology 29 (1), 38, 2020
32020
Linear approximation of deep neural networks for efficient inference on video data
B Rueckauer, SC Liu
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
22019
Reducing Latency in a Converted Spiking Video Segmentation Network
Q Chen, B Rueckauer, L Li, T Delbruck, SC Liu
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
12021
Neural network apparatus and method
B Ruckauer, SC Liu
US Patent App. 16/168,024, 2019
12019
Method of converting neural network and recognition apparatus using the same
B Ruckauer, I Lungu, HU Yuhuang, M Pfeiffer
US Patent 10,977,550, 2021
2021
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing
B Rueckauer, SC Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2021
2021
Brain-inspired Learning drives Advances in Neuromorphic Computing
N Ahmad, B Rueckauer, M van Gerven
Brain-inspired Computing, 24, 2021
2021
Method and apparatus with neural network layer contraction
SC Liu, B Rueckauer, T Delbruck
US Patent App. 16/739,543, 2020
2020
Event-Based Vision Processing in Deep Neural Networks
B Rückauer
University of Zurich, 2020
2020
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