| 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 | 227 | 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 | 180* | 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 | 179 | 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 | 133 | 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 | 63 | 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 | 48 | 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 | 48 | 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 | 29 | 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 | 23 | 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 | 17 | 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 | 15* | 2017 |
| SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys FA Limberger, RC Wilson, M Aono, N Audebert, A Boulch, B Bustos, ... | 13* | 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 | 12 | 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 | 10 | 2018 |
| 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 | 9* | 2019 |
| 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 | 8 | 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 |
| Classification de données massives de télédétection N Audebert | 1 | 2018 |
| 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, cp-519-00004, 2017 | 1 | 2017 |
| 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 | | 2020 |
Bertrand Le SauxESA / ESRIN Φ-labVerified email at ieee.org
