70 citations · 129 across the 14 of their papers we have counts for
4 papers · 1 filter
Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
Sébastien Herbreteau, Charles Kervrann
In the past decade, deep neural networks have revolutionized image denoising in achieving significant accuracy improvements by learning on datasets composed of noisy/clean image pa…
Immersive and Interactive Visualization of 3D Spatio-Temporal Data using a Space Time Hypercube
Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure +1
We propose an extension of the well-known Space-Time Cube (STC) visualization technique in order to visualize time-varying 3D spatial data, taking advantage of the interaction capa…
Timeline Design Space for Immersive Exploration of Time-Varying Spatial 3D Data
Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure +1
Timelines are common visualizations to represent and manipulate temporal data, from historical events storytelling to animation authoring. However, timeline visualizations rarely c…
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
Sébastien Herbreteau, Charles Kervrann
We propose a unified view of unsupervised non-local methods for image denoising that linearily combine noisy image patches. The best methods, established in different modeling and…