17 citations · 72 across the 26 of their papers we have counts for
5 papers · 1 filter
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano +1
Satellite image time series, bolstered by their growing availability, are at the forefront of an extensive effort towards automated Earth monitoring by international institutions.…
Supervized Segmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
We present a fully-supervized method for learning to segment data structured by an adjacency graph. We introduce the graph-structured contrastive loss, a loss function structured b…
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…
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
We propose a new supervized learning framework for oversegmenting 3D point clouds into superpoints. We cast this problem as learning deep embeddings of the local geometry and radio…
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano +1
In this article, we investigate several structured deep learning models for crop type classification on multi-spectral time series. In particular, our aim is to assess the respecti…