no code implementations • 18 Mar 2024 • Onur Keleş, A. Murat Tekalp
In this paper, we introduce a brand new neuron model called Pade neurons (Paons), inspired by the Pade approximants, which is the best mathematical approximation of a transcendental function as a ratio of polynomials with different orders.
no code implementations • 31 May 2021 • Onur Keleş, A. Murat Tekalp, Junaid Malik, Serkan Kiranyaz
It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR).
no code implementations • 25 May 2021 • M. Akin Yilmaz, Onur Keleş, Hilal Güven, A. Murat Tekalp, Junaid Malik, Serkan Kiranyaz
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 images into a latent space.
no code implementations • 30 Apr 2021 • Onur Keleş, M. Akin Yilmaz, A. Murat Tekalp, Cansu Korkmaz, Zafer Dogan
Others compute a single PSNR from the arithmetic mean of frame MSEs for each video.