Loic Landrieu

Présentation

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

Publications

Article dans une revue (8)

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
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
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
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
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
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
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

Communication dans un congrès (30)

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
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
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
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
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
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
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery Anatol Garioud,Nicolas Gonthier,Loic Landrieu,Apolline De Wit,Marion Valetteet al. NeurIPS Dataset and Benchmark, 2023, New Orleans, United States Communication dans un congrès hal-04328458v1
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
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
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
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
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
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
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
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
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
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
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
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
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
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning Loic Landrieu,Mohamed Boussaha CVPR, 2019, Long Beach, France Communication dans un congrès hal-03016113v1
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
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
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
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
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
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
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
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
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

Pré-publication, Document de travail (5)

FORMSpoT: A Decade of Tree-Level, Country-Scale Forest Monitoring Martin Schwartz,Fajwel Fogel,Nikola Besic,Damien Robert,Louis Geistet al. 2026 Pré-publication, Document de travail hal-05467262v1
Order Matters: 3D Shape Generation from Sequential VR Sketches Yizi Chen,Sidi Wu,Tianyi Xiao,Nina Wiedemann,Loic Landrieu 2026 Pré-publication, Document de travail hal-05466916v1
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds Raphael Sulzer,Loic Landrieu,Renaud Marlet,Bruno Vallet 2023 Pré-publication, Document de travail hal-03968453v1
Temporal Structured Classification of Sentinel 1 and 2 Time Series for Crop Type Mapping Sébastien Giordano,Simon Bailly,Loic Landrieu,Nesrine Chehata 2018 Pré-publication, Document de travail hal-01844619v1
Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR Stéphane Guinard,Loic Landrieu,Bruno Vallet 2017 Pré-publication, Document de travail hal-01499571v2

HDR (1)

Structured Learning of Geospatial Data Loic Landrieu Machine Learning [stat.ML]. Paris-Est Sup, 2023 HDR tel-04095452v1