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 | 241 | 2016 |
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 | 199* | 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 | 194 | 2018 |
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 | 146 | 2017 |
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 | 70 | 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 | 68 | 2019 |
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 | 52 | 2018 |
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 | 30 | 2016 |
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 | 27 | 2017 |
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 | 21* | 2017 |
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 | 20 | 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 | 17 | 2017 |
Multimodal deep networks for text and image-based document classification N Audebert, C Herold, K Slimani, C Vidal Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 15 | 2019 |
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 | 13 | 2018 |
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 | 13* | 2017 |
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 | 10 | 2019 |
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 | 6 | 2018 |
What Data are needed for Semantic Segmentation in Earth Observation? J Castillo-Navarro, N Audebert, A Boulch, B Le Saux, S Lefèvre 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 2* | 2019 |
Classification de données massives de télédétection N Audebert Université Bretagne Sud, 2018 | 2 | 2018 |
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study J Castillo-Navarro, BL Saux, A Boulch, N Audebert, S Lefèvre arXiv preprint arXiv:2010.07830, 2020 | 1 | 2020 |