Nicolas Audebert
Nicolas Audebert
Computer vision and machine learning researcher
Email verificata su cnam.fr - Home page
TitoloCitata daAnno
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
1612016
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
119*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
1152018
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
862017
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
352017
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
312018
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
252016
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
172017
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
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
11*2017
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
92017
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
82018
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys
FA Limberger, RC Wilson, M Aono, N Audebert, A Boulch, B Bustos, ...
8*2017
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
52019
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
22019
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
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
The Christchurch Aerial Semantic Dataset
B Le Saux, H Randrianarivo, N Audebert
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20