366 citations · 385 across the 6 of their papers we have counts for
7 papers
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
Damien Robert, Hugo Raguet, Loic Landrieu
We introduce a highly efficient method for panoptic segmentation of large 3D point clouds by redefining this task as a scalable graph clustering problem. This approach can be train…
Efficient 3D Semantic Segmentation with Superpoint Transformer
Damien Robert, Hugo Raguet, Loic Landrieu
We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes. Our method incorporates a fast algorithm to partition p…
Parallel Cut Pursuit For Minimization of the Graph Total Variation
Hugo Raguet, Loic Landrieu
We present a parallel version of the cut-pursuit algorithm for minimizing functionals involving the graph total variation. We show that the decomposition of the iterate into consta…
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation
Hugo Raguet, Loïc Landrieu
We present an extension of the cut-pursuit algorithm, introduced by Landrieu and Obozinski (2017), to the graph total-variation regularization of functions with a separable nondiff…
Target and Conditional Sensitivity Analysis with Emphasis on Dependence Measures
Hugo Raguet, Amandine Marrel
In the context of sensitivity analysis of complex phenomena in presence of uncertainty, we motivate and precise the idea of orienting the analysis towards a critical domain of the…
Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs
Raguet Hugo, Landrieu Loïc
We present a preconditioning of a generalized forward-backward splitting algorithm for finding a zero of a sum of maximally monotone operators with coc…
Generalized Forward-Backward Splitting
Hugo Raguet, Jalal Fadili, Gabriel Peyré
This paper introduces the generalized forward-backward splitting algorithm for minimizing convex functions of the form , where has a Lipschitz-continuous…