Loïc Landrieu

CoRR, 2024

2023

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2023

FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient 3D Semantic Segmentation with Superpoint Transformer.

[BibT_eX]

[DOI]

Damien Robert

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Structured Learning of Geospatial Data. (Apprentissage Structuré de Données Géosaptiales).

[BibT_eX]

[DOI]

, 2023

2022

Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning.

[BibT_eX]

[DOI]

Ekaterina Kalinicheva

Int. J. Appl. Earth Obs. Geoinformation, 2022

A Model You Can Hear: Audio Identification with Playable Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Deep Surface Reconstruction from Point Clouds with Visibility Information.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Online Segmentation of LiDAR Sequences: Dataset and Algorithm.

[BibT_eX]

[DOI]

Romain Loiseau

Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation.

[BibT_eX]

[DOI]

Damien Robert

Bruno Vallet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans.

[BibT_eX]

[DOI]

Ekaterina Kalinicheva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series.

[BibT_eX]

[DOI]

Félix Quinton

Remote. Sens., 2021

Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds.

[BibT_eX]

[DOI]

Ekaterina Kalinicheva

CoRR, 2021

Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Surface Reconstruction with Delaunay-Graph Neural Networks.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2021

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Leveraging Class Hierarchies with Metric-Guided Prototype Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Representing Shape Collections With Alignment-Aware Linear Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

Metric-Guided Prototype Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series.

[BibT_eX]

[DOI]

CoRR, 2020

Lightweight Temporal Self-attention for Classifying Satellite Images Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention.

[BibT_eX]

[DOI]

Sébastien Giordano

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Supervized Segmentation with Graph-Structured Deep Metric Learning.

[BibT_eX]

[DOI]

Mohamed Boussaha

CoRR, 2019

Parallel Cut Pursuit For Minimization of the Graph Total Variation.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Sébastien Giordano

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning.

[BibT_eX]

[DOI]

Mohamed Boussaha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs.

[BibT_eX]

[DOI]

Martin Simonovsky

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs.

[BibT_eX]

[DOI]

Guillaume Obozinski

SIAM J. Imaging Sci., 2017

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

[BibT_eX]

[DOI]

Martin Weinmann

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions.

[BibT_eX]

[DOI]

Guillaume Obozinski

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

2014

Continuously indexed Potts models on unoriented graphs.

[BibT_eX]

[DOI]