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Sébastien Lefèvre
17
Documents
Identifiants chercheurs
- sebastien-lefevre
- 0000-0002-2384-8202
- IdRef : 113437773
Présentation
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What Data are needed for Semantic Segmentation in Earth Observation?2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. pp.1-4, ⟨10.1109/JURSE.2019.8809071⟩
Communication dans un congrès
hal-02343915v2
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Generative Adversarial Networks for Realistic Synthesis of Hyperspectral SamplesInternational Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. ⟨10.1109/IGARSS.2018.8518321⟩
Communication dans un congrès
hal-01809872v1
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Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmarkIGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.1-4, ⟨10.1109/IGARSS.2018.8518525⟩
Communication dans un congrès
hal-01767807v1
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Segmentation sémantique profonde par régression sur cartes de distances signées Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2018, Marne-la-Vallée, France
Communication dans un congrès
hal-01809991v1
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Réseaux de neurones profonds et fusion de données pour la segmentation sémantique d'images aériennesORASIS, GREYC, 2017, Colleville-sur-Mer, France
Communication dans un congrès
hal-01672871v1
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Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, United Arab Emirates. ⟨10.1109/JURSE.2017.7924566⟩
Communication dans un congrès
hal-01438499v1
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Couplage de données géographiques participatives et d'images aériennes par apprentissage profondGRETSI, 2017, Juan-les-Pins, France
Communication dans un congrès
hal-01672870v1
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Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic MapsEARTHVISION 2017 IEEE/ISPRS CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jul 2017, Honolulu, United States. ⟨10.1109/CVPRW.2017.199⟩
Communication dans un congrès
hal-01523573v1
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DEEP LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES WITH RICH SPECTRAL CONTENTIEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States
Communication dans un congrès
hal-01654187v1
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Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep NetworksAsian Conference on Computer Vision (ACCV16), Nov 2016, Taipei, Taiwan. ⟨10.1007/978-3-319-54181-5_12⟩
Communication dans un congrès
hal-01360166v1
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How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?IEEE International Geosciences and Remote Sensing Symposium (IGARSS), Jul 2016, Beijing, China. ⟨10.1109/IGARSS.2016.7730327⟩
Communication dans un congrès
hal-01320016v1
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On the usability of deep networks for object-based image analysisInternational Conference on Geographic Object-Based Image Analysis (GEOBIA), Sep 2016, Enschede, Netherlands
Communication dans un congrès
hal-01320010v1
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