Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks


Mar 29, 2022
Yuhuang Hu, Shih-Chii Liu

* Accepted at 2022 26th International Conference on Pattern Recognition (ICPR) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Exploiting Spatial Sparsity for Event Cameras with Visual Transformers


Feb 10, 2022
Zuowen Wang, Yuhuang Hu, Shih-Chii Liu


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events


Feb 07, 2022
Shu Wang, Yuhuang Hu, Shih-Chii Liu

* 5 pages, 4 figures; accepted at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

V2E: From video frames to realistic DVS event camera streams


Jun 13, 2020
Tobi Delbruck, Yuhuang Hu, Zhe He

* 11 pages, 9 figures, technical report 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction


May 18, 2020
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbruck

* Accepted in The 23rd IEEE International Conference on Intelligent Transportation Systems (Special Session: Beyond Traditional Sensing for Intelligent Transportation) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Character-Level Translation with Self-attention


Apr 30, 2020
Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser

* ACL 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Exploiting Event Cameras by Using a Network Grafting Algorithm


Mar 24, 2020
Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Character-level Chinese-English Translation through ASCII Encoding


Aug 27, 2018
Nikola I. Nikolov, Yuhuang Hu, Mi Xue Tan, Richard H. R. Hahnloser

* 7 pages, 3 figures, 3rd Conference on Machine Translation (WMT18), 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Overcoming the vanishing gradient problem in plain recurrent networks


May 25, 2018
Yuhuang Hu, Adrian Huber, Jithendar Anumula, Shih-Chii Liu

* 20 pages, 12 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks


Dec 13, 2016
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer

* 9 pages, 2 figures, presented at the workshop "Computing with Spikes" at NIPS 2016, Barcelona, Spain 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>