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Number of documents

32

Loic Landrieu


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


Journal articles8 documents

  • Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet, Nesrine Chehata. Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2022, 112, pp.102863. ⟨10.1016/j.jag.2022.102863⟩. ⟨hal-03727656⟩
  • Félix Quinton, Loic Landrieu. Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. Remote Sensing, MDPI, 2021, 13 (22), pp.4599. ⟨10.3390/rs13224599⟩. ⟨hal-03500526⟩
  • Raphael Sulzer, Loic Landrieu, Renaud Marlet, Bruno Vallet. Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. Computer Graphics Forum, Wiley, 2021, Eurographics Symposium on Geometry Processing 2021, July 12 – 14, 2021, 40 (5), pp.157 - 167. ⟨10.1111/cgf.14364⟩. ⟨hal-03312448⟩
  • Sébastien Giordano, Simon Bailly, Loic Landrieu, Nesrine Chehata. Improved Crop Classification with Rotation Knowledge using Sentinel-1 and -2 Time Series. Photogrammetric engineering and remote sensing, Asprs American Society for Photogrammetry and, 2020, 86, pp.431 - 441. ⟨10.14358/pers.86.7.431⟩. ⟨hal-03500509v2⟩
  • Stéphane Guinard, Loic Landrieu, L. Caraffa, B. Vallet. PIECEWISE-PLANAR APPROXIMATION OF LARGE 3D DATA AS GRAPH-STRUCTURED OPTIMIZATION. 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⟩. ⟨hal-02178134⟩
  • Loic Landrieu, Hugo Raguet Raguet, Bruno Vallet, Clément Mallet, Martin Weinmann. A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2017, 132, pp.102-118. ⟨10.1016/j.isprsjprs.2017.08.010⟩. ⟨hal-01505245v2⟩
  • Loic Landrieu, Guillaume Obozinski. Cut Pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2017, Vol. 10 ( No. 4 ), pp. 1724-1766. ⟨hal-01306779v4⟩
  • Hugo Raguet Raguet, Loic Landrieu. Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2015, 8 (4), pp.2706-2739. ⟨10.1137/15M1018253⟩. ⟨hal-01144566v3⟩

Conference papers21 documents

  • Romain Loiseau, Mathieu Aubry, Loic Landrieu. Online Segmentation of LiDAR Sequences: Dataset and Algorithm. European Conference on Computer Vision 2022, Oct 2022, Tel-Aviv, Israel. ⟨hal-03794797⟩
  • Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet, Nesrine Chehata. Multi-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. ⟨hal-03718729⟩
  • Loic Landrieu, E Rupnik, S. Oude Elberink, Clément Mallet, Nicolas Paparoditis. Preface: 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⟩. ⟨hal-03713997⟩
  • Loic Landrieu, Vivien Sainte Fare Garnot. Leveraging Class Hierarchies with Metric-Guided Prototype Learning. British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom. ⟨hal-03500516⟩
  • Vivien Sainte Fare Garnot, Loic Landrieu. Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. International Conference on Computer Vision (ICCV), Oct 2021, Virtual, United States. ⟨hal-03500523⟩
  • Vivien Sainte Fare Garnot, Loic Landrieu. Lightweight temporal self-Attention for classifying satellite images time series. Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2020, en ligne, Belgium. ⟨hal-03016094⟩
  • Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loic Landrieu. Torch-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. ⟨hal-03013190⟩
  • Vivien Sainte Fare Garnot, Loic Landrieu, Sébastien Giordano, N. Chehata. Time-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⟩. ⟨hal-02386701⟩
  • Loic Landrieu, Mohamed Boussaha. Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning. CVPR, 2019, Long Beach, France. ⟨hal-03016113⟩
  • Hugo Raguet, Loic Landrieu. Cut-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. ⟨hal-03481168⟩
  • Raguet Hugo, Loic Landrieu. Parallel 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. ⟨hal-03016110⟩
  • Loic Landrieu, Mohamed Boussaha. Supervized segmentation with graph-structured deep metric learning. ICML Workshop on Learning and Reasoning with Graph-Structured Representations, Jun 2019, Long Beach (CA), United States. ⟨hal-03016114⟩
  • S. Bailly, Sébastien Giordano, Loic Landrieu, N. Chehata. Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, France. pp.1950-1953, ⟨10.1109/IGARSS.2018.8518427⟩. ⟨hal-02387132⟩
  • Loic Landrieu, Simonovsky Martin. Large-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. ⟨hal-01801186⟩
  • Loic Landrieu, Martin Simonovsky. Segmentation Sémantique à Grande Echelle par Graphe de Superpoints. RFIAP, Jun 2018, Marne-la-Vallée, France. ⟨hal-01939229⟩
  • Loic Landrieu, Martin Simonovsky. Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. CVPR 2018, IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, France. ⟨hal-02545223⟩
  • Stéphane Guinard, Loic Landrieu. Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds. ISPRS Workshop 2017, Jun 2017, Hannover, Germany. ⟨hal-01497548v3⟩
  • Loic Landrieu, Clément Mallet, Martin Weinmann. Comparison 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, Texas, United States. ⟨hal-01500777⟩
  • Stéphane Guinard, Loïc Landrieu, Bruno Vallet. Pré-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. ⟨hal-01866620⟩
  • Loic Landrieu, Guillaume Obozinski. Cut Pursuit: fast algorithms to learn piecewise constant functions. 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), May 2016, Cadix, Spain. ⟨hal-01306786⟩
  • Loic Landrieu, Guillaume Obozinski. Continuously indexed Potts models on unoriented graphs. UAI 20114 - 30th Conference on Uncertainty in Artificial Intelligence, Jul 2014, Quebec, Canada. pp.459-468. ⟨hal-01060957⟩

Preprints, Working Papers, ...3 documents

  • Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet. Deep Surface Reconstruction from Point Clouds with Visibility Information. 2022. ⟨hal-03575517⟩
  • Sébastien Giordano, Simon Bailly, Loic Landrieu, Nesrine Chehata. Temporal Structured Classification of Sentinel 1 and 2 Time Series for Crop Type Mapping. 2018. ⟨hal-01844619⟩
  • Stéphane Guinard, Loic Landrieu, Bruno Vallet. Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR. 2017. ⟨hal-01499571v2⟩