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 | 589 | 2019 |
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 | 564 | 2018 |
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 | 455 | 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 | 357 | 2018 |
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. A Boulch, B Le Saux, N Audebert 3DOR@ Eurographics 3, 2017 | 335 | 2017 |
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 | 308 | 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 | 128 | 2017 |
Multimodal deep networks for text and image-based document classification N Audebert, C Herold, K Slimani, C Vidal Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 126 | 2020 |
Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark B Huang, K Lu, N Audebert, A Khalel, Y Tarabalka, J Malof, A Boulch IGARSS 2018, 6947-6950, 2018 | 108 | 2018 |
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study J Castillo-Navarro, B Le Saux, A Boulch, N Audebert, S Lefèvre Machine Learning 111 (9), 3125-3160, 2022 | 74 | 2022 |
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 | 61 | 2018 |
Flood detection in time series of optical and sar images C Rambour, N Audebert, E Koeniguer, B Le Saux, M Crucianu, M Datcu The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 59 | 2020 |
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 | 50 | 2019 |
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 | 46 | 2016 |
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 | 40 | 2017 |
Fusion of heterogeneous data in convolutional networks for urban semantic labeling N Audebert, B Le Saux, S Lefèvre 2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017 | 39 | 2017 |
Robust and decomposable average precision for image retrieval E Ramzi, N Thome, C Rambour, N Audebert, X Bitot Advances in Neural Information Processing Systems 34, 23569-23581, 2021 | 32 | 2021 |
SHREC'17: Deformable shape retrieval with missing parts E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... Eurographics Workshop on 3D Object Retrieval, 2017 | 32 | 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 | 28 | 2017 |
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 | 19* | 2017 |