Alexandre Boulch
Alexandre Boulch
Researcher at
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
A Boulch, J Guerry, B Le Saux, N Audebert
Computers & Graphics 71, 189-198, 2018
Fast and robust normal estimation for point clouds with sharp features
A Boulch, R Marlet
Computer graphics forum 31 (5), 1765-1774, 2012
Fully convolutional siamese networks for change detection
RC Daudt, B Le Saux, A Boulch
2018 25th IEEE International Conference on Image Processing (ICIP), 4063-4067, 2018
Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2-D contest
M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Urban change detection for multispectral earth observation using convolutional neural networks
RC Daudt, B Le Saux, A Boulch, Y Gousseau
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks
A Lagrange, B Le Saux, A Beaupere, A Boulch, A Chan-Hon-Tong, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Deep learning for robust normal estimation in unstructured point clouds
A Boulch, R Marlet
Computer Graphics Forum 35 (5), 281-290, 2016
Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark
B Huang, K Lu, N Audeberr, A Khalel, Y Tarabalka, J Malof, A Boulch, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Piecewise‐planar 3D reconstruction with edge and corner regularization
A Boulch, M de La Gorce, R Marlet
Computer Graphics Forum 33 (5), 55-64, 2014
ConvPoint: Continuous convolutions for point cloud processing
A Boulch
Computers & Graphics 88, 24-34, 2020
Snapnet-r: Consistent 3d multi-view semantic labeling for robotics
J Guerry, A Boulch, B Le Saux, J Moras, A Plyer, D Filliat
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Multitask learning for large-scale semantic change detection
RC Daudt, B Le Saux, A Boulch, Y Gousseau
Computer Vision and Image Understanding 187, 102783, 2019
Reducing parameter number in residual networks by sharing weights
A Boulch
Pattern Recognition Letters 103, 53-59, 2018
Irreducible triangulations of surfaces with boundary
A Boulch, ÉC de Verdière, A Nakamoto
Graphs and Combinatorics 29 (6), 1675-1688, 2013
Semantizing complex 3D scenes using constrained attribute grammars
A Boulch, S Houllier, R Marlet, O Tournaire
Computer Graphics Forum 32 (5), 33-42, 2013
Deep learning for urban remote sensing
N Audebert, A Boulch, H Randrianarivo, B Le Saux, M Ferecatu, S Lefevre, ...
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
SHREC'17: Deformable shape retrieval with missing parts
E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, 85-94, 2017
Guided anisotropic diffusion and iterative learning for weakly supervised change detection
RC Daudt, B Le Saux, A Boulch, Y Gousseau
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2019
Retrieval of forest vertical structure from PolInSAR Data by machine learning using LIDAR-Derived features
G Brigot, M Simard, E Colin-Koeniguer, A Boulch
Remote Sensing 11 (4), 381, 2019
FLOT: Scene Flow on Point Clouds guided by Optimal Transport
G Puy, A Boulch, R Marlet
arXiv preprint arXiv:2007.11142, 2020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20