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Sylvain Lobry
2020 – today
- 2024
- [j8]Rebecca Leygonie, Sylvain Lobry, Laurent Wendling:
Can we detect plant diseases without prior knowledge of their existence? Int. J. Appl. Earth Obs. Geoinformation 134: 104192 (2024) - [j7]Basile Rousse, Sylvain Lobry, Géraldine Duthé, Valérie Golaz, Laurent Wendling:
Domain Adaptation for Mapping LCZs in Sub-Saharan Africa With Remote Sensing: A Comprehensive Approach to Health Data Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13016-13029 (2024) - [c23]Lucrezia Tosato, Hichem Boussaid, Flora Weissgerber, Camille Kurtz, Laurent Wendling, Sylvain Lobry:
Segmentation-Guided Attention for Visual Question Answering from Remote Sensing Images. IGARSS 2024: 2750-2754 - [i13]Lucrezia Tosato, Hichem Boussaid, Flora Weissgerber, Camille Kurtz, Laurent Wendling, Sylvain Lobry:
Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images. CoRR abs/2407.08669 (2024) - [i12]Lucrezia Tosato, Sylvain Lobry, Flora Weissgerber, Laurent Wendling:
Can SAR improve RSVQA performance? CoRR abs/2408.15642 (2024) - [i11]Yuxing Chen, Weijie Wang, Sylvain Lobry, Camille Kurtz:
An LLM Agent for Automatic Geospatial Data Analysis. CoRR abs/2410.18792 (2024) - 2023
- [c22]Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Multi-task prompt-RSVQA to explicitly count objects on aerial images. BMVC Workshop 2023 - [c21]Rebecca Leygonie, Sylvain Lobry, Laurent Wendling:
An a contrario approach for plant disease detection. BMVC Workshop 2023 - [c20]Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, Laurent Wendling:
Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality. ICIP 2023: 700-704 - [c19]Nathan Letheule, Flora Weissgerber, Sylvain Lobry, Elise Colin:
Automatic Simulation of SAR Images: Comparing a Deep-Learning Based Method to a Hybrid Method. IGARSS 2023: 4958-4961 - [c18]Basile Rousse, Sylvain Lobry, Géraldine Duthé, Valérie Golaz, Laurent Wendling:
Seasonal semi-supervised domain adaptation for linking population studies and Local Climate Zones. JURSE 2023: 1-4 - [i10]Rebecca Leygonie, Sylvain Lobry, Laurent Wendling:
Deep learning for classification of noisy QR codes. CoRR abs/2307.10677 (2023) - [i9]Christel Chappuis, Eliot Walt, Vincent Mendez, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation. CoRR abs/2311.16782 (2023) - 2022
- [j6]Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7296-7306 (2022) - [c17]Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. CVPR Workshops 2022: 1371-1380 - [c16]Maxime Faure, Sylvain Lobry, Camille Kurtz, Laurent Wendling:
Embedding Spatial Relations in Visual Question Answering for Remote Sensing. ICPR 2022: 310-316 - [c15]Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Language Transformers for Remote Sensing Visual Question Answering. IGARSS 2022: 4855-4858 - [d4]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
Remote Sensing VQA - Low Resolution (RSVQA LR). Zenodo, 2022 - [d3]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
Remote Sensing VQA - High Resolution (RSVQA HR). Zenodo, 2022 - 2021
- [c14]Sylvain Lobry, Begüm Demir, Devis Tuia:
RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing. IGARSS 2021: 1218-1221 - [c13]Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia:
How to find a good image-text embedding for remote sensing visual question answering? MACLEAN@PKDD/ECML 2021 - [d2]Sylvain Lobry, Begüm Demir, Devis Tuia:
RSVQAxBEN. Version 0.1. Zenodo, 2021 [all versions] - [d1]Sylvain Lobry, Begüm Demir, Devis Tuia:
RSVQAxBEN. Version 1.0. Zenodo, 2021 [all versions] - [i8]Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia:
How to find a good image-text embedding for remote sensing visual question answering? CoRR abs/2109.11848 (2021) - 2020
- [j5]Shivangi Srivastava, John E. Vargas-Munoz, Sylvain Lobry, Devis Tuia:
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data. Int. J. Geogr. Inf. Sci. 34(6): 1117-1136 (2020) - [j4]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 58(12): 8555-8566 (2020) - [c12]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. ACCV (4) 2020: 351-368 - [c11]Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu:
Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. IGARSS 2020: 525-528 - [c10]Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia:
Interpretable Scenicness from Sentinel-2 Imagery. IGARSS 2020: 3983-3986 - [i7]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. CoRR abs/2003.07333 (2020) - [i6]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. CoRR abs/2009.08720 (2020)
2010 – 2019
- 2019
- [j3]Sylvain Lobry, Loïc Denis, Brent Williams, Roger Fjørtoft, Florence Tupin:
Water Detection in SWOT HR Images Based on Multiple Markov Random Fields. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4315-4326 (2019) - [j2]Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia:
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. 57(12): 9524-9533 (2019) - [c9]Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. ICCV Workshops 2019: 4207-4215 - [c8]Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia:
Visual Question Answering From Remote Sensing Images. IGARSS 2019: 4951-4954 - [c7]Sylvain Lobry, Devis Tuia:
Deep Learning Models to Count Buildings in High-Resolution Overhead Images. JURSE 2019: 1-4 - [i5]John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia:
Correcting rural building annotations in OpenStreetMap using convolutional neural networks. CoRR abs/1901.08190 (2019) - [i4]Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR abs/1904.03936 (2019) - [i3]Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia:
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR abs/1907.07319 (2019) - [i2]Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. CoRR abs/1909.08442 (2019) - 2018
- [c6]John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia:
Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS 2018: 1284-1287 - [i1]Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia:
Scale equivariance in CNNs with vector fields. CoRR abs/1807.11783 (2018) - 2017
- [b1]Sylvain Lobry:
Modèles Markoviens pour les images SAR : application à la détection de l'eau dans les images satellitaires SWOT et analyse multi-temporelle de zones urbaines. (Markovian models for SAR images : application to water detection in SWOT satellite images and multi-temporal analysis of urban areas). Télécom Paris, France, 2017 - [c5]Sylvain Lobry, Loïc Denis, Florence Tupin, Roger Fjørtoft:
Double MRF for water classification in SAR images by joint detection and reflectivity estimation. IGARSS 2017: 2283-2286 - [c4]Sylvain Lobry, Florence Tupin, Roger Fjørtoft:
Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection. IGARSS 2017: 3720-3723 - [c3]Weiying Zhao, Sylvain Lobry, Henri Maître, Jean-Marie Nicolas, Florence Tupin:
Urban area change detection based on generalized likelihood ratio test. MultiTemp 2017: 1-4 - 2016
- [j1]Sylvain Lobry, Loïc Denis, Florence Tupin:
Multitemporal SAR Image Decomposition into Strong Scatterers, Background, and Speckle. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3419-3429 (2016) - [c2]Sylvain Lobry, Florence Tupin, Loïc Denis:
A decomposition model for scatterers change detection in multi-temporal series of SAR images. IGARSS 2016: 3362-3365 - 2015
- [c1]Sylvain Lobry, Loïc Denis, Florence Tupin:
Sparse + smooth decomposition models for multi-temporal SAR images. MultiTemp 2015: 1-4
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