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Yuhuang Hu

2 accepted papers

2022

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

ICASSP 2022accepted

Spiking silicon cochlea sensors encode sound as an asynchronous stream of spikes from different frequency channels. The lack of labeled training datasets for spiking cochleas makes it difficult to train deep neural networks on the outputs of these sensors. This work proposes a self-supervised method…

Cited by 0SourceScholar
2020

Learning to Exploit Multiple Vision Modalities by Using Grafted Networks

ECCV 2020poster

Novel vision sensors such as thermal, hyperspectral, polarization, and event cameras provide information that is not available from conventional intensity cameras. An obstacle to using these sensors with current powerful deep neural networks is the lack of large labeled training datasets. This paper…

Cited by 57SourcePDFScholar