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Loic Landrieu
Loic Landrieu
senior researcher, ENPC
Bestätigte E-Mail-Adresse bei enpc.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
L Landrieu, M Simonovsky
CVPR 2018, 2017
13822017
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
L Landrieu, M Boussaha
CVPR 2019, 2019
2032019
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
160*2019
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
V Sainte Fare Garnot, L Landrieu
ICCV 2021, 2021
115*2021
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
1142017
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
1132017
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
832017
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
70*2020
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
602019
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
51*2021
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
D Robert, B Vallet, L Landrieu
CVPR 2022, 2022
502022
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
492015
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
452020
Leveraging Class Hierarchies with Metric-Guided Prototype Learning
L Landrieu, VSF Garnot
BMVC 2021, 2021
29*2021
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
202017
Cut Pursuit: fast algorithms to learn piecewise constant functions
L Landrieu, G Obozinski
Artificial Intelligence and Statistics, 1384-1393, 2016
192016
Efficient 3D Semantic Segmentation with Superpoint Transformer
D Robert, H Raguet, L Landrieu
ICCV 2023, 2023
162023
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, 2020
152020
Online Segmentation of LiDAR Sequences: Dataset and Algorithm
R Loiseau, M Aubry, L Landrieu
ECCV 2022, 2022
132022
Piecewise-Planar Approximation of Large 3D Data as Graph-Structured Optimization
S Guinard, L Landrieu, L Caraffa, B Vallet
ISPRSS Geospatial Week, 2019
122019
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