Loïc Landrieu

Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs

Martin Simonovsky, Loïc Landrieu, Loic Landrieu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data

Martin Weinmann, Clément Mallet, Loïc Landrieu, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping

Nesrine Chehata, Sébastien Giordano, Loïc Landrieu, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series

Nesrine Chehata, Vivien Sainte Fare Garnot, Sébastien Giordano, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning

Mohamed Boussaha, Loïc Landrieu, Mohamed Boussaha, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions

Guillaume Obozinski, Loïc Landrieu, G. Obozinski, 2016, AISTATS.

Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation

Hugo Raguet, Loïc Landrieu, 2018, ICML.