Loic Landrieu

44
Documents

Présentation

Researcher at Univ. Paris-Est, LASTIG STRUDEL, IGN, ENSG, F-94160 Saint-Mande, France

Publications

Publications

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Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning

Ekaterina Kalinicheva , Loic Landrieu , Clément Mallet , Nesrine Chehata

International Journal of Applied Earth Observation and Geoinformation, 2022, 112, pp.102863. ⟨10.1016/j.jag.2022.102863⟩

Article dans une revue hal-03727656v1
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Scalable Surface Reconstruction with Delaunay-Graph Neural Networks

Raphael Sulzer , Loic Landrieu , Renaud Marlet , Bruno Vallet

Computer Graphics Forum, 2021, Eurographics Symposium on Geometry Processing 2021, July 12 – 14, 2021, 40 (5), pp.157 - 167. ⟨10.1111/cgf.14364⟩

Article dans une revue hal-03312448v1
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Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

Félix Quinton , Loic Landrieu

Remote Sensing, 2021, 13 (22), pp.4599. ⟨10.3390/rs13224599⟩

Article dans une revue hal-03500526v1
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Improved Crop Classification with Rotation Knowledge using Sentinel-1 and -2 Time Series

Sébastien Giordano , Simon Bailly , Loic Landrieu , Nesrine Chehata

Photogrammetric engineering and remote sensing, 2020, 86, pp.431 - 441. ⟨10.14358/pers.86.7.431⟩

Article dans une revue hal-03500509v2

PIECEWISE-PLANAR APPROXIMATION OF LARGE 3D DATA AS GRAPH-STRUCTURED OPTIMIZATION

Stéphane Guinard , Loic Landrieu , L. Caraffa , B. Vallet

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019, IV-2/W5, pp.365-372. ⟨10.5194/isprs-annals-IV-2-W5-365-2019⟩

Article dans une revue hal-02178134v1
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A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds

Loic Landrieu , Hugo Raguet Raguet , Bruno Vallet , Clément Mallet , Martin Weinmann

ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 132, pp.102-118. ⟨10.1016/j.isprsjprs.2017.08.010⟩

Article dans une revue hal-01505245v2
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Cut Pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs

Loic Landrieu , Guillaume Obozinski

SIAM Journal on Imaging Sciences, 2017, Vol. 10 ( No. 4 ), pp. 1724-1766

Article dans une revue hal-01306779v4
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Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs

Hugo Raguet Raguet , Loic Landrieu

SIAM Journal on Imaging Sciences, 2015, 8 (4), pp.2706-2739. ⟨10.1137/15M1018253⟩

Article dans une revue hal-01144566v3

AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities

Guillaume Astruc , Nicolas Gonthier , Clément Mallet , Loic Landrieu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025, Nashville (Tennessee), United States

Communication dans un congrès hal-04984436v1
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CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis

Abhishek Kuriyal , Elliot Vincent , Mathieu Aubry , Loic Landrieu

CVPR 2025 EarthVision Workshop - The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2025, Nashville (Tennessee), United States. pp.2194-2203

Communication dans un congrès hal-05121438v1
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EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation

Louis Geist , Loic Landrieu , Damien Robert

ICRA, IEEE, 2026, Vienna, France

Communication dans un congrès hal-05466889v1

Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation

Nicolas Dufour , David Picard , Vicky Kalogeiton , Loic Landrieu

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025, Nashville, United States. pp.23016-23026, ⟨10.1109/CVPR52734.2025.02143⟩

Communication dans un congrès hal-05427428v1

AnySat: a Multi-Resolution/Modality/Scale Earth Observation Model

Guillaume Astruc , Nicolas Gonthier , Clément Mallet , Loic Landrieu

EGU24 General Assembly, European Geosciences Union, Apr 2025, Vienne, Austria

Communication dans un congrès hal-05016354v1
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OmniSat: Self-Supervised Modality Fusion for Earth Observation

Guillaume Astruc , Nicolas Gonthier , Clément Mallet , Loic Landrieu

ECCV, 2024, Milan (Italie), Italy

Communication dans un congrès hal-04556598v2
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FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

Anatol Garioud , Nicolas Gonthier , Loic Landrieu , Apolline De Wit , Marion Valette et al.

NeurIPS Dataset and Benchmark, 2023, New Orleans, United States

Communication dans un congrès hal-04328458v1
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Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

Ekaterina Kalinicheva , Loic Landrieu , Clément Mallet , Nesrine Chehata

IEEE/CVF Conference on Computer VIsion and Pattern Recognition Workshops, Jun 2022, New Orleans, United States

Communication dans un congrès hal-03718729v1
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Deep Surface Reconstruction from Point Clouds with Visibility Information

Raphael Sulzer , Loic Landrieu , Alexandre Boulch , Renaud Marlet , Bruno Vallet

26th International Conference on Pattern Recognition (ICPR), Aug 2022, Montreal, Canada. pp.2415-2422, ⟨10.1109/ICPR56361.2022.9956560⟩

Communication dans un congrès hal-03575517v1

Online Segmentation of LiDAR Sequences: Dataset and Algorithm

Romain Loiseau , Mathieu Aubry , Loic Landrieu

European Conference on Computer Vision 2022, Oct 2022, Tel-Aviv, Israel. ⟨10.1007/978-3-031-19839-7_18⟩

Communication dans un congrès hal-03794797v1
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Preface: the 2022 edition of the XXIVth ISPRS Congress

Loic Landrieu , E Rupnik , S. Oude Elberink , Clément Mallet , Nicolas Paparoditis

XXIVth ISPRS Congress, Jun 2022, Nice, France. pp.1 - 5, ⟨10.5194/isprs-annals-v-3-2022-1-2022⟩

Communication dans un congrès hal-03713997v1

Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds

Ekaterina Kalinicheva , Clément Mallet , Loic Landrieu , Nesrine Chehata

SilviLaser, Sep 2021, Vienne (AUT), Austria. pp.41-43

Communication dans un congrès hal-03983141v1
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Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Vivien Sainte Fare Garnot , Loic Landrieu

International Conference on Computer Vision (ICCV), Oct 2021, Virtual, United States

Communication dans un congrès hal-03500523v1
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Leveraging Class Hierarchies with Metric-Guided Prototype Learning

Loic Landrieu , Vivien Sainte Fare Garnot

British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom

Communication dans un congrès hal-03500516v1
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Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds

Thomas Chaton , Nicolas Chaulet , Sofiane Horache , Loic Landrieu

3DV 2020 - International Conference on 3D Vision, Nov 2020, online, Japan

Communication dans un congrès hal-03013190v1
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Lightweight temporal self-Attention for classifying satellite images time series

Vivien Sainte Fare Garnot , Loic Landrieu

Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, en ligne, Belgium

Communication dans un congrès hal-03016094v1
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Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning

Loic Landrieu , Mohamed Boussaha

CVPR, 2019, Long Beach, France

Communication dans un congrès hal-03016113v1
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Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series

Vivien Sainte Fare Garnot , Loic Landrieu , Sébastien Giordano , N. Chehata

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.6247-6250, ⟨10.1109/IGARSS.2019.8900517⟩

Communication dans un congrès hal-02386701v1
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Supervized segmentation with graph-structured deep metric learning

Loic Landrieu , Mohamed Boussaha

ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Jun 2019, Long Beach (CA), United States

Communication dans un congrès hal-03016114v1
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Parallel Cut Pursuit For Minimization of the Graph Total Variation

Raguet Hugo , Loic Landrieu

ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Jun 2019, Long Beach (CA), United States

Communication dans un congrès hal-03016110v1
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Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation

Hugo Raguet , Loic Landrieu

Thirty-sixth International Conference on Machine Learning ( ICM 2019 )L, Jun 2019, Long Beach, United States

Communication dans un congrès hal-03481168v1
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Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Loic Landrieu , Martin Simonovsky

CVPR 2018, IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, France

Communication dans un congrès hal-02545223v1
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Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Loic Landrieu , Simonovsky Martin

2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Jun 2018, Salt Lake City, United States

Communication dans un congrès hal-01801186v1
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Segmentation Sémantique à Grande Echelle par Graphe de Superpoints

Loic Landrieu , Martin Simonovsky

RFIAP, Jun 2018, Marne-la-Vallée, France

Communication dans un congrès hal-01939229v1
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Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping

S. Bailly , Sébastien Giordano , Loic Landrieu , N. Chehata

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, France. pp.1950-1953, ⟨10.1109/IGARSS.2018.8518427⟩

Communication dans un congrès hal-02387132v1
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Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds

Stéphane Guinard , Loic Landrieu

ISPRS Workshop 2017, Jun 2017, Hannover, Germany

Communication dans un congrès hal-01497548v3
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Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR

Stéphane Guinard , Loïc Landrieu , Bruno Vallet

ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France

Communication dans un congrès hal-01866620v1
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Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data

Loic Landrieu , Clément Mallet , Martin Weinmann

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, United States

Communication dans un congrès hal-01500777v1
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Cut Pursuit: fast algorithms to learn piecewise constant functions

Loic Landrieu , Guillaume Obozinski

19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), May 2016, Cadix, Spain

Communication dans un congrès hal-01306786v1
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Continuously indexed Potts models on unoriented graphs

Loic Landrieu , Guillaume Obozinski

UAI 20114 - 30th Conference on Uncertainty in Artificial Intelligence, Jul 2014, Quebec, Canada. pp.459-468

Communication dans un congrès hal-01060957v1
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Structured Learning of Geospatial Data

Loic Landrieu

Machine Learning [stat.ML]. Paris-Est Sup, 2023

HDR tel-04095452v1