2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2024
PAON: A New Neuron Model using Padé Approximants
Onur Keleş, A. Murat Tekalp
Convolutional neural networks (CNN) are built upon the classical McCulloch-Pitts neuron model, which is essentially a linear model, where the nonlinearity is provided by a separate…
eess.IV2021★ 2 cited
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
M. Akın Yılmaz, Onur Keleş, Hilal Güven +3
In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform…