Nombre de documents


Article dans une revue2 documents

  • 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〉

Communication dans un congrès3 documents

  • Loic Landrieu, Martin Simonovsky. Segmentation Sémantique à Grande Echelle par Graphe de Superpoints. RFIAP, Jun 2018, Marne-la-Vallée, France. 〈hal-01939229〉
  • 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 travail2 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. Accepted to ISPRS'2017 archives. 2017. 〈hal-01499571v2〉