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Mathieu Brédif
Mathieu Brédif
LASTIG, Univ Gustave Eiffel, ENSG, IGN
Verified email at ign.fr - Homepage
Title
Cited by
Cited by
Year
Light field photography with a hand-held plenoptic camera
R Ng, M Levoy, M Brédif, G Duval, M Horowitz, P Hanrahan
Stanford university, 2005
32252005
TerraMobilita/iQmulus urban point cloud analysis benchmark
B Vallet, M Brédif, A Serna, B Marcotegui, N Paparoditis
Computers & Graphics 49, 126-133, 2015
1812015
A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas
M Weinmann, M Weinmann, C Mallet, M Brédif
Remote Sensing 9 (3), 277, 2017
1062017
Street environment change detection from mobile laser scanning point clouds
W Xiao, B Vallet, M Brédif, N Paparoditis
ISPRS Journal of Photogrammetry and Remote Sensing 107, 38-49, 2015
792015
An efficient stochastic approach for building footprint extraction from digital elevation models
O Tournaire, M Brédif, D Boldo, M Durupt
ISPRS Journal of Photogrammetry and Remote Sensing 65 (4), 317-327, 2010
782010
Extracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework
M Brédif, O Tournaire, B Vallet, N Champion
ISPRS journal of photogrammetry and remote sensing 77, 57-65, 2013
742013
A Hybrid Multi-View Stereo Algorithm for Modeling Urban Scenes
F Lafarge, R Keriven, M Brédif, H Vu
PAMI 35 (1), 5-17, 2012
702012
Investigating the mobile phone data to estimate the origin destination flow and analysis; case study: Paris region
AN Larijani, AM Olteanu-Raimond, J Perret, M Brédif, C Ziemlicki
Transportation Research Procedia 6, 64-78, 2015
572015
Insertion of 3-D-primitives in mesh-based representations: Towards compact models preserving the details
F Lafarge, R Keriven, M Brédif
IEEE Transactions on Image Processing 19 (7), 1683-1694, 2010
512010
Lu-net: An efficient network for 3d lidar point cloud semantic segmentation based on end-to-end-learned 3d features and u-net
P Biasutti, V Lepetit, JF Aujol, M Brédif, A Bugeau
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
442019
Hybrid multi-view reconstruction by jump-diffusion
F Lafarge, R Keriven, M Brédif, VH Hiep
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
442010
Constrained palette-space exploration
N Mellado, D Vanderhaeghe, C Hoarau, S Christophe, M Brédif, L Barthe
ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017
402017
3D building reconstruction with parametric roof superstructures
M Brédif, D Boldo, M Pierrot-Deseilligny, H Maître
2007 IEEE International Conference on Image Processing 2, II-537-II-540, 2007
392007
A web-based 3D mapping application using WebGL allowing interaction with images, point clouds and models
A Devaux, M Brédif, N Paparoditis
Proceedings of the 20th International Conference on Advances in Geographic …, 2012
372012
Building footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation
B Vallet, M Pierrot-Deseilligny, D Boldo, M Brédif
ISPRS journal of photogrammetry and remote sensing 66 (5), 732-742, 2011
332011
An accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors
A Georgantas, M Brédif, M Pierrot-Desseilligny
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2012
322012
Map style formalization: Rendering techniques extension for cartography
S Christophe, B Duménieu, J Turbet, C Hoarau, N Mellado, J Ory, H Loi, ...
Expressive 2016 the joint symposium on computational aesthetics and sketch …, 2016
302016
A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada
J Zhang, G Sohn, M Brédif
ISPRS journal of photogrammetry and remote sensing 98, 44-57, 2014
302014
Detecting blind building façades from highly overlapping wide angle aerial imagery
JP Burochin, B Vallet, M Brédif, C Mallet, T Brosset, N Paparoditis
ISPRS journal of photogrammetry and remote sensing 96, 193-209, 2014
282014
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
P Biasutti, A Bugeau, JF Aujol, M Brédif
arXiv preprint arXiv:1905.08748, 2019
252019
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