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Loic Landrieu
Loic Landrieu
chargé de recherche, IGN/LaSTIG-STRUDEL
Verified email at ign.fr - Homepage
Title
Cited by
Cited by
Year
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
L Landrieu, M Simonovsky
CVPR 2018, 2017
8532017
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
L Landrieu, M Boussaha
CVPR 2019, 2019
1202019
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds
L Landrieu, H Raguet, B Vallet, C Mallet, M Weinmann
ISPRS journal of Photogrammetry and Remote Sensing 132, Pages 102-118, 2017
952017
Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds
S Guinard, L Landrieu
ISPRS - International Archives of the Photogrammetry, Remote Sensing and …, 2017
702017
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
V Sainte Fare Garnot, L Landrieu, S Giordano, N Chehata
CVPR 2020, 2019
65*2019
Cut pursuit: Fast algorithms to learn piecewise constant functions on general weighted graphs
L Landrieu, G Obozinski
SIAM Journal on Imaging Sciences 10 (4), 1724-1766, 2017
552017
Preconditioning of a generalized forward-backward splitting and application to optimization on graphs
H Raguet, L Landrieu
SIAM Journal on Imaging Sciences 8 (4), 2706-2739, 2015
452015
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
VSF Garnot, L Landrieu, S Giordano, N Chehata
IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
352019
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
V Sainte Fare Garnot, L Landrieu
International Workshop on Advanced Analysis and Learning on Temporal Data, 2020
27*2020
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
V Sainte Fare Garnot, L Landrieu
ICCV 2021, 2021
17*2021
Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds
T Chaton, N Chaulet, S Horache, L Landrieu
3DV 2020, 2020
172020
Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data
L Landrieu, C Mallet, M Weinmann
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
172017
Cut Pursuit: fast algorithms to learn piecewise constant functions
L Landrieu, G Obozinski
Artificial Intelligence and Statistics, 1384-1393, 2016
112016
Improved crop classification with rotation knowledge using sentinel-1 and-2 time series
S Giordano, S Bailly, L Landrieu, N Chehata
Photogrammetric Engineering & Remote Sensing 86 (7), 431-441, 2020
102020
Leveraging Class Hierarchies with Metric-Guided Prototype Learning
L Landrieu, VSF Garnot
BMVC 2021, 2021
9*2021
Piecewise-Planar Approximation of Large 3D Data as Graph-Structured Optimization
S Guinard, L Landrieu, L Caraffa, B Vallet
ISPRSS Geospatial Week, 2019
92019
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation
H Raguet, L Landrieu
ICML 2018, 2018
62018
Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR
S Guinard, L Landrieu, B Vallet
ORASIS 2017, 2017
52017
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
V Sainte Fare Garnot, L Landrieu, N Chehata
International Journal of Photogrammetry and Remote Sensing (IJPRS), 2021
4*2021
Temporal structured classification of Sentinel 1 and 2 time series for crop type mapping
S Giordano, S Bailly, L Landrieu, N Chehata
42018
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