30 citations · 31 across the 3 of their papers we have counts for
3 papers
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu +3
We propose a system comprised of fixed-topology neural networks having partially frozen weights, named SemifreddoNets. SemifreddoNets work as fully-pipelined hardware blocks that a…
A Machine Learning Imaging Core using Separable FIR-IIR Filters
Masayoshi Asama, Leo F. Isikdogan, Sushma Rao +2
We propose fixed-function neural network hardware that is designed to perform pixel-to-pixel image transformations in a highly efficient way. We use a fully trainable, fixed-topolo…
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
Chyuan-Tyng Wu, Leo F. Isikdogan, Sushma Rao +5
Traditional image signal processors (ISPs) are primarily designed and optimized to improve the image quality perceived by humans. However, optimal perceptual image quality does not…