Loic Landrieu
36
Documents
Présentation
Researcher at Univ. Paris-Est, LASTIG STRUDEL, IGN, ENSG, F-94160 Saint-Mande, France
Machine Learning researcher with a focus on remote-sensing and computer vision applications. website: loiclandrieu.com (English)
Publications
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FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryNeurIPS Dataset and Benchmark, 2023, New Orleans, United States
Communication dans un congrès
hal-04328458v1
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Deep Surface Reconstruction from Point Clouds with Visibility Information26th International Conference on Pattern Recognition (ICPR), Aug 2022, Montreal, Canada. pp.2415-2422, ⟨10.1109/ICPR56361.2022.9956560⟩
Communication dans un congrès
hal-03575517v1
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Online Segmentation of LiDAR Sequences: Dataset and AlgorithmEuropean Conference on Computer Vision 2022, Oct 2022, Tel-Aviv, Israel
Communication dans un congrès
hal-03794797v1
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Preface: the 2022 edition of the XXIVth ISPRS CongressXXIVth ISPRS Congress, Jun 2022, Nice, France. pp.1 - 5, ⟨10.5194/isprs-annals-v-3-2022-1-2022⟩
Communication dans un congrès
hal-03713997v1
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Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR ScansIEEE/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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Leveraging Class Hierarchies with Metric-Guided Prototype LearningBritish Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom
Communication dans un congrès
hal-03500516v1
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Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point CloudsSilviLaser, 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 NetworksInternational Conference on Computer Vision (ICCV), Oct 2021, Virtual, United States
Communication dans un congrès
hal-03500523v1
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Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds3DV 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 seriesWorkshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, en ligne, Belgium
Communication dans un congrès
hal-03016094v1
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Supervized segmentation with graph-structured deep metric learningICML 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 VariationICML 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 VariationThirty-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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Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time SeriesIGARSS 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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Point Cloud Oversegmentation with Graph-Structured Deep Metric LearningCVPR, 2019, Long Beach, France
Communication dans un congrès
hal-03016113v1
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Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsCVPR 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 Graphs2018 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 SuperpointsRFIAP, 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 MappingIGARSS 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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Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDARORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France
Communication dans un congrès
hal-01866620v1
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Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point cloudsISPRS Workshop 2017, Jun 2017, Hannover, Germany
Communication dans un congrès
hal-01497548v3
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Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, Texas, United States
Communication dans un congrès
hal-01500777v1
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Cut Pursuit: fast algorithms to learn piecewise constant functions19th 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 graphsUAI 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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A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds2023
Pré-publication, Document de travail
hal-03968453v1
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Temporal Structured Classification of Sentinel 1 and 2 Time Series for Crop Type Mapping2018
Pré-publication, Document de travail
hal-01844619v1
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Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR2017
Pré-publication, Document de travail
hal-01499571v2
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Structured Learning of Geospatial DataMachine Learning [stat.ML]. Paris-Est Sup, 2023
HDR
tel-04095452v1
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