1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Sparse Video Representation Using Steered Mixture-of-Experts With Global Motion Compensation
Rolf Jongebloed, Erik Bochinski, Thomas Sikora
Steered-Mixtures-of Experts (SMoE) present a unified framework for sparse representation and compression of image data with arbitrary dimensionality. Recent work has shown great im…
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…