| 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 (ACCV16), 2016 | 183 | 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 | 144* | 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 | 135 | 2018 |
| Ikona: Interactive generic and specific image retrieval N Boujemaa, J Fauqueur, M Ferecatu, F Fleuret, V Gouet, B Le Saux, ... Proceedings of the International workshop on Multimedia Content-Based …, 2001 | 123* | 2001 |
| 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 | 93 | 2017 |
| Unsupervised robust clustering for image database categorization B Le Saux, N Boujemaa Object recognition supported by user interaction for service robots 1, 259-262, 2002 | 66 | 2002 |
| Benchmarking classification of Earth-observation data: from learning explicit features to convolutional networks A Lagrange, B Le Saux, A Beaupere, A Boulch, A Chan-Hon-Tong, ... IGARSS 2015, 2015 | 63 | 2015 |
| Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2-D contest M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 62 | 2016 |
| Feature selection for graph-based image classifiers B Le Saux, H Bunke Iberian Conference on Pattern Recognition and Image Analysis, 147-154, 2005 | 51 | 2005 |
| Fully convolutional siamese networks for change detection RC Daudt, B Le Saux, A Boulch 2018 25th IEEE International Conference on Image Processing (ICIP), 4063-4067, 2018 | 46 | 2018 |
| Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest N Yokoya, P Ghamisi, J Xia, S Sukhanov, R Heremans, I Tankoyeu, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 45 | 2018 |
| Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps N Audebert, B Le Saux, S Lefèvre IEEE/ISPRS CVPR Workshop EARTHVISION 2017, 2017 | 44 | 2017 |
| Urban change detection for multispectral earth observation using convolutional neural networks R Caye Daudt, B Le Saux, A Boulch, Y Gousseau IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 36 | 2018 |
| 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 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 36 | 2018 |
| Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest L Mou, X Zhu, M Vakalopoulou, K Karantzalos, N Paragios, B Le Saux, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 33 | 2017 |
| Image classifiers for scene analysis B Le Saux, G Amato Computer Vision and Graphics, 39-44, 2006 | 33 | 2006 |
| SHREC'17: 3D hand gesture recognition using a depth and skeletal dataset Q De Smedt, H Wannous, JP Vandeborre, J Guerry, B Le Saux, D Filliat | 31 | 2017 |
| 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 |
| Image recognition for digital libraries B Le Saux, G Amato Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004 | 29 | 2004 |
| SnapNet-R: Consistent 3D multi-view semantic labeling for robotics J Guerry, A Boulch, B Le Saux, J Moras, A Plyer, D Filliat Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 26 | 2017 |
Nicolas AudebertComputer vision and machine learning researcherAdresse e-mail validée de cnam.fr
