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03/29/2022
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks
Deep Neural Networks, particularly Convolutional Neural Networks (ConvNe...
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02/10/2022
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers
Event cameras report local changes of brightness through an asynchronous...
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02/07/2022
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events
Spiking silicon cochlea sensors encode sound as an asynchronous stream o...
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06/13/2020
V2E: From video frames to realistic DVS event camera streams
To help meet the increasing need for dynamic vision sensor (DVS) event c...
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05/18/2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Neuromorphic event cameras are useful for dynamic vision problems under ...
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04/30/2020
Character-Level Translation with Self-attention
We explore the suitability of self-attention models for character-level ...
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03/24/2020
Exploiting Event Cameras by Using a Network Grafting Algorithm
Novel vision sensors such as event cameras provide information that is n...
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05/09/2018
wubi2en: Character-level Chinese-English Translation through ASCII Encoding
Character-level Neural Machine Translation (NMT) models have recently ac...
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01/18/2018
Overcoming the vanishing gradient problem in plain recurrent networks
Plain recurrent networks greatly suffer from the vanishing gradient prob...
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12/13/2016
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have shown great potential for...
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06/02/2015