| 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 | 127 | 2016 |
| 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, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 108 | 2015 |
| 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 | 38 | 2017 |
| Weakly supervised semantic segmentation of satellite images A Nivaggioli, H Randrianarivo 2019 Joint urban remote sensing event (JURSE), 1-4, 2019 | 35 | 2019 |
| Urban structure detection with deformable part-based models H Randrianarivo, B Le Saux, M Ferecatu 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 200-203, 2013 | 18 | 2013 |
| Urban change detection in SAR images by interactive learning B Le Saux, H Randrianarivo 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 3990 …, 2013 | 14 | 2013 |
| Graphcore c2 card performance for image-based deep learning application: A report I Kacher, M Portaz, H Randrianarivo, S Peyronnet arXiv preprint arXiv:2002.11670, 2020 | 13 | 2020 |
| Image search using multilingual texts: a cross-modal learning approach between image and text M Portaz, H Randrianarivo, A Nivaggioli, E Maudet, C Servan, ... arXiv preprint arXiv:1903.11299, 2019 | 11 | 2019 |
| Discriminatively-trained model mixture for object detection in aerial images H Randrianarivo, B Le Saux, M Crucianu, M Ferecatu Image Information Mining, Bucharest, Romania, 2015 | 2 | 2015 |
| Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree C Dang, H Randrianarivo, R Fournier-S’Niehotta, N Audebert Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
| QISS: an open source image similarity search engine M Portaz, A Nivaggioli, H Randrianarivo, I Kacher, S Peyronnet Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 1 | 2020 |
| The Christchurch Aerial Semantic Dataset B Le Saux, H Randrianarivo, N Audebert | | 2019 |
| Learning of semantic classes for aerial image analysis H Randrianarivo < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2016 | | 2016 |
| Apprentissage statistique de classes sémantiques pour l'interprétation d'images aériennes H Randrianarivo Conservatoire national des arts et metiers-CNAM, 2016 | | 2016 |
| Structural classifiers for contextual semantic labeling of aerial images H Randrianarivo, B Le Saux, N Audebert, M Crucianu, M Ferecatu | | 2016 |
| Multimodal classification with deformable part-based models for urban cartography H Randrianarivo, B Le Saux, M Ferecatu 2014 IEEE Geoscience and Remote Sensing Symposium, 203-206, 2014 | | 2014 |
| Détection de véhicules en imagerie aérienne par mélange de modèles discriminatifs H RANDRIANARIVO, B LE SAUX, M FERECATU | | |
Bertrand Le SauxESA / ESRIN Φ-labAdresse e-mail validée de ieee.org
