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 | 225 | 2017 |
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 | 58 | 2016 |
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 | 53 | 2016 |
Overcoming the vanishing gradient problem in plain recurrent networks Y Hu, A Huber, J Anumula, SC Liu arXiv preprint arXiv:1801.06105, 2018 | 19 | 2018 |
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 | 19 | 2014 |
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 | 7 | 2014 |
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 | 3 | 2020 |
V2E: From video frames to realistic DVS event camera streams T Delbruck, Y Hu, Z He arXiv preprint arXiv:2006.07722, 2020 | 3 | 2020 |
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 | 3 | 2020 |
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 | 2 | 2020 |
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 | 1 | 2020 |
Multi-Resolution Siamese Networks for One-Shot Learning IA Lungu, Y Hu, SC Liu 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 1 | 2020 |
Max-pooling operations in deep spiking neural networks Y Hu, M Pfeiffer Neural Systems and Computation project report. https://dgyblog. com/projects …, 2016 | 1 | 2016 |
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 | 1 | 2016 |
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 | 1 | 2014 |
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 |