11 citations · 13 across the 5 of their papers we have counts for
4 papers · 1 filter
Canonical correlation analysis of stochastic trends via functional approximation
Massimo Franchi, Iliyan Georgiev, Paolo Paruolo
This paper proposes a novel approach for semiparametric inference on the number of common trends and their loading matrix in systems. It combines functional app…
SAMa: Material-aware 3D Selection and Segmentation
Michael Fischer, Iliyan Georgiev, Thibault Groueix +3
Decomposing 3D assets into material parts is a common task for artists, yet remains a highly manual process. In this work, we introduce Select Any Material (SAMa), a material selec…
Multiple Importance Sampling for Stochastic Gradient Estimation
Corentin Salaün, Xingchang Huang, Iliyan Georgiev +2
We introduce a theoretical and practical framework for efficient importance sampling of mini-batch samples for gradient estimation from single and multiple probability distribution…
N-BVH: Neural ray queries with bounding volume hierarchies
Philippe Weier, Alexander Rath, Élie Michel +3
Neural representations have shown spectacular ability to compress complex signals in a fraction of the raw data size. In 3D computer graphics, the bulk of a scene's memory usage is…