2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture
Benjamin Lukas Cajus Barzen, Fedor Glazov, Jonas Geistert +1
We propose Deep Lossless Image Coding (DLIC), a full resolution learned lossless image compression algorithm. Our algorithm is based on a neural network combined with an entropy en…