Yuhuang Hu
Yuhuang Hu
Ph.D. Student, Institute of Neuroinformatics, University of Zürich and ETH Zürich
Verified email at ini.uzh.ch - Homepage
Title
Cited by
Cited by
Year
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
2252017
DVS benchmark datasets for object tracking, action recognition, and object recognition
Y Hu, H Liu, M Pfeiffer, T Delbruck
Frontiers in neuroscience 10, 405, 2016
582016
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
532016
Overcoming the vanishing gradient problem in plain recurrent networks
Y Hu, A Huber, J Anumula, SC Liu
arXiv preprint arXiv:1801.06105, 2018
192018
Multiple sequence behavior recognition on humanoid robot using long short-term memory (LSTM)
DNT How, KSM Sahari, H Yuhuang, LC Kiong
2014 IEEE international symposium on robotics and manufacturing automation …, 2014
192014
Character-level Chinese-English Translation through ASCII Encoding
N Nikolov, Y Hu, MX Tan, RHR Hahnloser
Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018
8*2018
A generalized quantum-inspired decision making model for intelligent agent
Y Hu, CK Loo
The Scientific World Journal 2014, 2014
72014
Character-Level Translation with Self-attention
Y Gao, NI Nikolov, Y Hu, RHR Hahnloser
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
32020
V2E: From video frames to realistic DVS event camera streams
T Delbruck, Y Hu, Z He
arXiv preprint arXiv:2006.07722, 2020
32020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Y Hu, J Binas, D Neil, SC Liu, T Delbruck
The 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
32020
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks
Y Hu, T Delbruck, SC Liu
The 16th European Conference on Computer Vision (ECCV), 2020
2*2020
Prediction of Gas Concentration Using Gated Recurrent Neural Networks
S Wang, Y Hu, J Burgués, S Macro, SC Liu
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
22020
Siamese Networks for Few-Shot Learning on Edge Embedded Devices
IA Lungu, A Aimar, Y Hu, T Delbruck, SC Liu
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020
12020
Multi-Resolution Siamese Networks for One-Shot Learning
IA Lungu, Y Hu, SC Liu
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
12020
Max-pooling operations in deep spiking neural networks
Y Hu, M Pfeiffer
Neural Systems and Computation project report. https://dgyblog. com/projects …, 2016
12016
GENERATION OF BENCHMARKS FOR VISUAL RECOG-NITION WITH SPIKING NEURAL NETWORKS
Y Hu, M Pfeiffer, T Delbrück, H Liu
University of Zurich, Zurich, Swizerland, 2016
12016
Learning sufficient representation for spatio-temporal deep network using information filter
Y Hu, DTH Neoh, KSM Sahari, CK Loo
2014 IEEE/SICE International Symposium on System Integration, 2014
12014
Incremental Learning Meets Reduced Precision Networks
Y Hu, T Delbruck, SC Liu
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
2019
Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments
Y Hu, HM Chen, T Delbruck
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
2019
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