1 citations · 1 across the 3 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2024
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu
This paper presents a novel approach to network pruning, targeting block pruning in deep neural networks for edge computing environments. Our method diverges from traditional techn…
cs.CV2019
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
The deployment of Convolutional Neural Networks (CNNs) on resource constrained platforms such as mobile devices and embedded systems has been greatly hindered by their high impleme…
cs.CV2018
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Boyu Zhang, Azadeh Davoodi, Yu-Hen Hu
The ability to customize a trained Deep Neural Network (DNN) locally using user-specific data may greatly enhance user experiences, reduce development costs, and protect user's pri…