Nombre de documents


Communication dans un congrès2 documents

  • Stéphane Guinard, Loic Landrieu. Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds. ISPRS Workshop 2017, Jun 2017, Hannover, Germany. ISPRS Archive, 2017. 〈hal-01497548v3〉
  • 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, 2014. 〈hal-01060957〉

Pré-publication, Document de travail3 documents

  • Loic Landrieu, Hugo Raguet, Bruno Vallet, Clément Mallet, Martin Weinmann. A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. 2017. 〈hal-01505245v2〉
  • Stéphane Guinard, Loic Landrieu, Bruno Vallet. Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR. Accepted to ISPRS'2017 archives. 2017. 〈hal-01499571v2〉
  • Hugo Raguet, Loic Landrieu. Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. 2015. 〈hal-01144566v3〉

Thèse1 document

  • Loic Landrieu. Learning structured models on weighted graphs, with applications to spatial data analysis. Machine Learning [stat.ML]. PSL Research University, 2016. English. 〈tel-01441078〉