Publications

2017

A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. Loic Landrieu, Hugo Raguet , Bruno Vallet , Clément Mallet, Martin Weinmann [hal]

Comparison of belief propagation and graph-cut approaches for conetxtual classification of 3D LiDAR point cloud data. Loic Landrieu, Clément Mallet, Martin Weinmann, IGARSS2017 [hal]

Weakly supervised segmentation-aided classification of urban scenes from 3D LiDAR point clouds. Stéphane Guinard, Loic Landrieu.  ISPRS Archive, 2017. [hal]

Pré-segmentation pour la classification faiblement supervisée de scènes urbaines à partir de nuages de points 3D LIDAR. ORASIS, Jun 2017 [hal]

2016

Learning structured models on weighted graphs, with application to spatial data analysis. Loic landrieu, PhD Thesis [hal]

Cut pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs. Loic landrieu, Guillaume Obozinski, SIAM Journal on Imaging Science [hal]

Cut Pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs. Loic landrieu, Guillaume Obozinski, AIStats2016, Cadiz, Spain   [jmlr] [hal]

2015

Preconditonning of a Generalized Forward-BAckward Splitting and Application to Optimization on Graphs. Hugo Raguet, Loic Landrieu, SIAM Journal on Imaging Science 8, 4(2706-2739)    [siam] [arxiv]

2014

Continuously indexed Potts models on unoriented graphs. Loic landrieu, Guillaume Obozinsk, UAI 2014 – Quebec, Canada,     [auai]  [hal]