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Number of documents

17

Loic Landrieu


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


Journal articles4 documents

  • 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, 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⟩
  • Loic Landrieu, Hugo 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⟩
  • Hugo 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 papers10 documents

  • 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, France. pp.6247-6250, ⟨10.1109/IGARSS.2019.8900517⟩. ⟨hal-02386701⟩
  • S. Bailly, S. 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. Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. CVPR, 2018, Salt Lake City, France. ⟨hal-02545223⟩
  • Loic Landrieu, Martin Simonovsky. Segmentation Sémantique à Grande Echelle par Graphe de Superpoints. RFIAP, Jun 2018, Marne-la-Vallée, France. ⟨hal-01939229⟩
  • Loic Landrieu, Clément Mallet, M 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⟩
  • 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, 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, ...2 documents

  • 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⟩

Theses1 document

  • Loic Landrieu. Learning structured models on weighted graphs, with applications to spatial data analysis. Machine Learning [stat.ML]. PSL Research University, 2016. English. ⟨NNT : 2016PSLEE046⟩. ⟨tel-01750023⟩