Nicolas Audebert
Nicolas Audebert
Computer vision and machine learning researcher
Adresse e-mail validée de cnam.fr - Page d'accueil
TitreCitée parAnnée
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
N Audebert, B Le Saux, S Lefèvre
Asian Conference on Computer Vision, 180-196, 2016
1472016
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
104*2018
Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks
N Audebert, B Le Saux, S Lefèvre
ISPRS Journal of Photogrammetry and Remote Sensing 140, 20-32, 2018
902018
Segment-before-detect: Vehicle detection and classification through semantic segmentation of aerial images
N Audebert, B Le Saux, S Lefèvre
Remote Sensing 9 (4), 368, 2017
772017
Joint learning from earth observation and openstreetmap data to get faster better semantic maps
N Audebert, B Le Saux, S Lefèvre
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
342017
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
262018
How useful is region-based classification of remote sensing images in a deep learning framework?
N Audebert, B Le Saux, S Lefevre
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
242016
Fusion of heterogeneous data in convolutional networks for urban semantic labeling
N Audebert, B Le Saux, S Lefèvrey
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
182017
SHREC’17: Deformable shape retrieval with missing parts
E Rodola, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
Proceedings of the Eurographics Workshop on 3D Object Retrieval, Lisbon …, 2017
132017
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
FA Limberger, RC Wilson, M Aono, N Audebert, A Boulch, B Bustos, ...
10th Eurographics workshop on 3D Object retrieval, 1-11, 2017
8*2017
Deep learning for urban remote sensing
N Audebert, A Boulch, H Randrianarivo, B Le Saux, M Ferecatu, S Lefèvre, ...
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
8*2017
Generative adversarial networks for realistic synthesis of hyperspectral samples
N Audebert, B Le Saux, S Lefèvre
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
52018
Deep learning for semantic segmentation of remote sensing images with rich spectral content
AB Hamida, A Benoit, P Lambert, L Klein, CB Amar, N Audebert, ...
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
52017
Object Detection in Remote Sensing Images with Center Only
A Chan-Hon-Tong, N Audebert
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
32018
Multimodal deep networks for text and image-based document classification
N Audebert, C Herold, K Slimani, C Vidal
arXiv preprint arXiv:1907.06370, 2019
12019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
N Audebert, B Le Saux, S Lefèvre
IEEE Geoscience and Remote Sensing Magazine 7 (2), 159-173, 2019
12019
Classification de données massives de télédétection
N Audebert
12018
Deep Learning on Hyperspectral Data for Land Use and Vegetation Mapping
N Audebert, B Le Saux, S Lefevere, C Taillandier, D Dubucq
79th EAGE Conference and Exhibition 2017-Workshops, 2017
12017
Distance transform regression for spatially-aware deep semantic segmentation
N Audebert, A Boulch, B Le Saux, S Lefèvre
Computer Vision and Image Understanding 189, 102809, 2019
2019
What Data are needed for Deep Learning in Earth Observation?
J Castillo-Navarro, N Audebert, A Boulch, B Le Saux, S Lefèvre
2019
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