Loic Landrieu

Publications

Chercheur associé

Journaux internationaux

Communications

Conférences internationales

Rapports ou pré-publications

Dissertations (thèses et HDR)

Other publication

Équipe(s) STRUDEL

	Guillaume Astruc Nicolas Gonthier Clément Mallet Loic LandrieuAnySat: a Multi-Resolution/Modality/Scale Earth Observation Model. EGU24 General Assembly, European Geosciences Union, Apr 2025, Vienne, Austria
	Damien Robert Hugo Raguet Loic LandrieuScalable 3D Panoptic Segmentation As Superpoint Graph Clustering. 11th International Conference on 3D Vision 2024 (3DV 2024), Mar 2024, Davos, Switzerland. ⟨10.1109/3dv62453.2024.00135⟩
	Romain Loiseau Mathieu Aubry Loic LandrieuOnline Segmentation of LiDAR Sequences: Dataset and Algorithm. European Conference on Computer Vision 2022, Oct 2022, Tel-Aviv, Israel. ⟨10.1007/978-3-031-19839-7_18⟩
	R. Sulzer Loic Landrieu Alexandre Boulch Renaud Marlet Bruno ValletDeep Surface Reconstruction from Point Clouds with Visibility Information. 26th International Conference on Pattern Recognition (ICPR), Aug 2022, Montreal, Canada. pp.2415-2422, ⟨10.1109/ICPR56361.2022.9956560⟩
	Loic Landrieu E Rupnik S. Oude Elberink Clément Mallet Nicolas PaparoditisPreface: the 2022 edition of the XXIVth ISPRS Congress. XXIVth ISPRS Congress, Jun 2022, Nice, France. pp.1 - 5, ⟨10.5194/isprs-annals-v-3-2022-1-2022⟩
	Romain Loiseau Baptiste Bouvier Yann Teytaut Elliot Vincent Mathieu Aubry Loic LandrieuA Model You Can Hear: Audio Identification with Playable Prototypes. ISMIR 2022 - 23rd International Society for Music Information Retrieval Conference, Dec 2022, Bengaluru, India
	Ekaterina Kalinicheva Loic Landrieu Clément Mallet Nesrine ChehataMulti-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. IEEE/CVF Conference on Computer VIsion and Pattern Recognition Workshops, Jun 2022, New Orleans, United States
	Loic Landrieu Vivien Sainte Fare GarnotLeveraging Class Hierarchies with Metric-Guided Prototype Learning. British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom
	Romain Loiseau Tom Monnier Mathieu Aubry Loïc LandrieuRepresenting Shape Collections with Alignment-Aware Linear Models. International Conference on 3D Vision 2021 (3DV 2021), Dec 2021, Londres (On-line), United Kingdom. ⟨10.1109/3dv53792.2021.00112⟩
	Vivien Sainte Fare Garnot Loic LandrieuPanoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. International Conference on Computer Vision (ICCV), Oct 2021, Virtual, United States
	Hugo Raguet Loic LandrieuCut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation. Thirty-sixth International Conference on Machine Learning ( ICM 2019 )L, Jun 2019, Long Beach, United States
	Loic Landrieu Simonovsky MartinSegmentation Sémantique à Grande Echelle par Graphe de Superpoints,Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. RFIAP, Jun 2018, Marne-la-Vallée, France

	Abhishek Kuriyal Elliot Vincent Mathieu Aubry Loic LandrieuCoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis. CVPR 2025 EarthVision Workshop - The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2025, Nashville (Tennessee), United States. pp.2194-2203
	Guillaume Astruc Nicolas Gonthier Clément Mallet Loic LandrieuAnySat: An Earth Observation Model for Any Resolutions,Scales,and Modalities. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025, Nashville (Tennessee), United States
	Sidi Wu Yizi Chen Samuel Mermet Lorenz Hurni Konrad Schindler Nicolas Gonthier Loic LandrieuStegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. IEEE/CVF Conference on Computer Vision and Pattern Recognition., Jun 2024, Seattle, United States
	Yohann Perron Vladyslav Sydorov Adam P. Wijker Damian Evans Christophe Pottier Loic LandrieuArchaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era. NeurIPS, 2024, Dataset and Benchmark track, Dec 2024, Vancouver (BC), Canada
	Romain Loiseau Elliot Vincent Mathieu Aubry Loic LandrieuLearnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. CVPR 2024 - The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2024, Seattle, United States
	Guillaume Astruc Nicolas Gonthier Clément Mallet Loic LandrieuOmniSat: Self-Supervised Modality Fusion for Earth Observation. ECCV, 2024, Milan (Italie), Italy
	Damien Robert Hugo Raguet Loic LandrieuEfficient 3D Semantic Segmentation with Superpoint Transformer. International Conference on Computer Vision, CVR, IEEE, Oct 2023, Paris, France. pp.17195-17204, ⟨10.1109/iccv51070.2023.01577⟩
	Anatol Garioud Nicolas Gonthier Loic Landrieu Apolline De Wit Marion Valette Marc Poupée Sébastien Giordano Boris WattrelosFLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. NeurIPS Dataset and Benchmark, 2023, New Orleans, United States
	Damien Robert Bruno Vallet Loic LandrieuLearning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022, New Orleans, United States. pp.5565-5574, ⟨10.1109/CVPR52688.2022.00549⟩
	Thomas Chaton Nicolas Chaulet Sofiane Horache Loic LandrieuTorch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds. 3DV 2020 - International Conference on 3D Vision, Nov 2020, online, Japan
	Vivien Sainte Fare Garnot Loic LandrieuLightweight temporal self-Attention for classifying satellite images time series. Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, en ligne, Belgium
	Vivien Sainte Fare Garnot Loic Landrieu Sebastien Giordano Nesrine ChehataSatellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CVPR 2020, Jun 2020, Seattle, United States
	Vivien Sainte Fare Garnot Loic Landrieu Sébastien Giordano N. ChehataTime-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.6247-6250, ⟨10.1109/IGARSS.2019.8900517⟩
	Loic Landrieu Mohamed BoussahaSupervized segmentation with graph-structured deep metric learning. ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Jun 2019, Long Beach (CA), United States
	Raguet Hugo Loic LandrieuParallel Cut Pursuit For Minimization of the Graph Total Variation. ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Jun 2019, Long Beach (CA), United States
	Loic Landrieu Mohamed BoussahaPoint Cloud Oversegmentation with Graph-Structured Deep Metric Learning. CVPR, 2019, Long Beach, France
	Loic Landrieu Simonovsky MartinLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs. 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Jun 2018, Salt Lake City, United States
	Loic Landrieu Martin SimonovskyLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs. CVPR 2018, IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, France
	Stéphane Guinard Loic LandrieuWeakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds,Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR. ISPRS Workshop 2017, Jun 2017, Hannover, Germany
	Stéphane Guinard Loic Landrieu Bruno ValletPré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France
	Loic Landrieu Clément Mallet Martin WeinmannComparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, United States

	R. Sulzer Loic Landrieu Renaud Marlet Bruno ValletA Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds. 2023
	Sébastien Giordano Simon Bailly Loic Landrieu Nesrine ChehataTemporal Structured Classification of Sentinel 1 and 2 Time Series for Crop Type Mapping. 2018
	Stéphane Guinard Loic Landrieu Bruno ValletPré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR,Weakly supervised segmentation-aided classification of urban scenes from 3D LIDAR point clouds. 2017

	Loic LandrieuStructured Learning of Geospatial Data,Apprentissage Structuré de Données Géosaptiales. Machine Learning [stat.ML]. Paris-Est Sup, 2023

Ekaterina Kalinicheva Loic Landrieu Clément Mallet Nesrine ChehataPredicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. International Journal of Applied Earth Observation and Geoinformation, 2022, 112, pp.102863. ⟨10.1016/j.jag.2022.102863⟩

R. Sulzer Loic Landrieu Renaud Marlet Bruno ValletScalable Surface Reconstruction with Delaunay-Graph Neural Networks. Computer Graphics Forum, 2021, Eurographics Symposium on Geometry Processing 2021, July 12 – 14, 2021, 40 (5), pp.157 - 167. ⟨10.1111/cgf.14364⟩

Félix Quinton Loic LandrieuCrop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. Remote Sensing, 2021, 13 (22), pp.4599. ⟨10.3390/rs13224599⟩

Sébastien Giordano Simon Bailly Loic Landrieu Nesrine ChehataImproved Crop Classification with Rotation Knowledge using Sentinel-1 and -2 Time Series. Photogrammetric engineering and remote sensing, 2020, 86, pp.431 - 441. ⟨10.14358/pers.86.7.431⟩

Loic Landrieu Hugo Raguet Raguet Bruno Vallet Clément Mallet Martin WeinmannA structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 132, pp.102-118. ⟨10.1016/j.isprsjprs.2017.08.010⟩

Loic Landrieu Guillaume ObozinskiCut Pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs. SIAM Journal on Imaging Sciences, 2017, Vol. 10 ( No. 4 ), pp. 1724-1766

	Ekaterina Kalinicheva Clément Mallet Loic Landrieu Nesrine ChehataVegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. SilviLaser, Sep 2021, Vienne (AUT), Austria. pp.41-43