2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2023★ 2 cited
Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising
Elvira Fleig, Erik Bochinski, Thomas Sikora
Research in the past years introduced Steered Mixture-of-Experts (SMoE) as a framework to form sparse, edge-aware models for 2D- and higher dimensional pixel data, applicable to co…
eess.IV2022
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression
Elvira Fleig, Jonas Geistert, Erik Bochinski +2
Steered-Mixtures-of-Experts (SMoE) models provide sparse, edge-aware representations, applicable to many use-cases in image processing. This includes denoising, super-resolution an…