Publications

Books

2024

  1. Visual question answering on remote sensing images
    Sylvain Lobry, and Devis Tuia
    In Advances in Machine Learning and Image Analysis for GeoAI, 2024



International Journals

2024

  1. Can we detect plant diseases without prior knowledge of their existence?
    Rebecca Leygonie, Sylvain Lobry, and Laurent Wendling
    International Journal of Applied Earth Observation and Geoinformation, 2024
  2. Domain Adaptation for Mapping LCZs in Sub-Saharan Africa with Remote Sensing: A Comprehensive Approach to Health Data Analysis
    Basile Rousse, Sylvain Lobry, Géraldine Duthé, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024

2021

  1. Wasserstein Adversarial Regularization for learning with label noise
    Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
  2. Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra
    Rúna Í. Magnússon, Juul Limpens, David Kleijn, and 4 more authors
    Science of The Total Environment, 2021

2020

  1. A deep learning framework for matching of SAR and optical imagery
    Lloyd Haydn Hughes, Diego Marcos, Sylvain Lobry, and 2 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2020
  2. RSVQA: Visual Question Answering for Remote Sensing Data
    Sylvain Lobry, Diego Marcos, Jesse Murray, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 2020

2019

  1. Water Detection in SWOT HR Images Based on Multiple Markov Random Fields
    Sylvain Lobry, Loïc Denis, Brent Williams, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
  2. Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning
    Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 2019

2018

  1. Correcting rural building annotations in OpenStreetMap using convolutional neural networks
    John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, and 1 more author
    ISPRS Journal of Photogrammetry and Remote Sensing, 2018
  2. Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
    Shivangi Srivastava, John E. Vargas Muñoz, Sylvain Lobry, and 1 more author
    International Journal of Geographical Information Science, 2018

2016

  1. Multitemporal SAR Image Decomposition into Strong Scatterers, Background, and Speckle
    Sylvain Lobry, Loïc Denis, and Florence Tupin
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016



National Journals

2017

  1. Décomposition de séries temporelles d’images SAR pour la détection de changement
    Sylvain Lobry, Loïc Denis, Weying Zhao, and 1 more author
    Traitement du Signal, 2017



International Conferences

2025

  1. Visual Question Answering on Multiple Remote Sensing Image Modalities
    Hichem Boussaid, Lucrezia Tosato, Flora Weissgerber, and 3 more authors
    In EarthVision at IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR, 2025
  2. PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering
    Christel Chappuis, Gencer Sümbül, Syrielle Montariol, and 2 more authors
    In Workshop MORSE at CVPR, 2025
  3. LLM-Driven Data Augmentation for Visual Question Answering
    Hichem Boussaid, Nayoung Kwon, Camille Kurtz, and 2 more authors
    In Joint Urban Remote Sensing Event (JURSE), 2025
  4. ProMM-RS: Exploring Probabilistic learning for Multi-Modal Remote Sensing Image Representations
    Nicolas Houdré, Diego Marcos, Dino Ienco, and 3 more authors
    In Workshop GeoCV at WACV, 2025
  5. Evaluating Transformers Learning by Representing Attention Weights as a Graph
    Rebecca Leygonie, Sylvain Lobry, and Laurent Wendling
    In The 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2025

2024

  1. Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images
    Lucrezia* Tosato, Hichem* Boussaid, Flora Weissgerber, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2024
  2. Can SAR improve RSVQA performance?
    Lucrezia Tosato, Sylvain Lobry, Flora Weissgerber, and 1 more author
    In EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, 2024

2023

  1. An a contrario approach for plant disease detection
    Rebecca Leygonie, Sylvain Lobry, and Laurent Wendling
    In Workshop on Machine Vision for Earth Observation at BMVC, 2023
  2. Multi-task prompt-RSVQA to explicitly count objects on aerial images
    Christel Chappuis, Charlotte Sertic, Nicolas Santacroce, and 4 more authors
    In Workshop on Machine Vision for Earth Observation at BMVC, 2023
  3. Transforming multidimensional data into images to overcome the curse of dimensionality
    Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, and 1 more author
    In IEEE International Conference on Image Processing ICIP, 2023
  4. Automatic simulation of SAR images: comparing a deep-learning based method to a hybrid method
    Nathan Letheule, Flora Weissgerber, Sylvain Lobry, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023
  5. Linking population data to high resolution maps: a case study in Burkina Faso
    Basile Rousse, Sylvain Lobry, Géraldine Duthé, and 2 more authors
    In Machine Learning for Remote Sensing at ICLR (oral presentation), 2023
  6. Seasonal semi-supervised domain adaptation for linking population studies and Local Climate Zones
    Basile Rousse, Sylvain Lobry, Géraldine Duthé, and 2 more authors
    In Joint Urban Remote Sensing Event (JURSE), 2023

2022

  1. Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering
    Chritel Chappuis, Valerie Zermatten, Sylvain Lobry, and 2 more authors
    In EarthVision at IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR, 2022
  2. Embedding Spatial Relations in Visual Question Answering for Remote Sensing
    Maxime Faure, Sylvain Lobry, Camille Kurtz, and 1 more author
    In 26TH International Conference on Pattern Recognition ICPR, 2022
  3. Language transformers for remote sensing visual question answering
    Christel Chappuis, Vincent Mendez, Eliot Walt, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2022
  4. Matching environmental data produced from remote sensing images to demographic data in Sub-Saharan Africa
    Lys Thay*, Basile Rousse*, Sylvain Lobry, and 3 more authors
    In ESA Living Planet Symposium, 2022

2021

  1. How to find a good image-text embedding for remote sensing visual question answering?
    Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, and 2 more authors
    In MACLEAN Workshop at ECML/PKDD 2021, 2021
  2. RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing
    Sylvain Lobry, Begüm Demir, and Devis Tuia
    In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021

2020

  1. Better Generic Objects Counting When Asking Questions to Images: A Multitask Approach for Remote Sensing Visual Question Answering
    Sylvain Lobry, Diego Marcos, Benjamin Kellenberger, and 1 more author
    In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
  2. Learning multi-label aerial image classification under label noise: A regularization approach using word embeddings
    Yuansheng Hua, Sylvain Lobry, Lichao Mou, and 2 more authors
    In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
  3. Interpretable Scenicness from Sentinel-2 Imagery
    Alex Levering, Diego Marcos, Sylvain Lobry, and 1 more author
    In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

  1. Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
    Diego Marcos, Sylvain Lobry, and Devis Tuia
    In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
  2. Visual question answering from remote sensing images
    Sylvain Lobry, Jesse Murray, Diego Marcos, and 1 more author
    In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
  3. Deep learning models to count buildings in high-resolution overhead images
    Sylvain Lobry, and Devis Tuia
    In 2019 Joint Urban Remote Sensing Event (JURSE), 2019

2018

  1. Scale equivariance in CNNs with vector fields
    Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, and 1 more author
    In International Conference on Machine Learning (ICML)/FAIM workshop on Towards learning with limited labels: Equivariance, Invariance, and Beyond, 2018
  2. Correcting misaligned rural building annotations in open street map using convolutional neural networks evidence
    John E Vargas-Munoz, Diego Marcos, Sylvain Lobry, and 3 more authors
    In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
  3. Land-use characterisation using Google Street View pictures and OpenStreetMap
    Shivangi Srivastava, Sylvain Lobry, Devis Tuia, and 1 more author
    In 21st AGILE Conference on Geographic Information Science (2018), 2018
  4. Speckle reduction in PolSAR by multi-channel variance stabilization and Gaussian denoising: MuLoG
    Charles-Alban Deledalle, Loic Denis, Florence Tupin, and 1 more author
    In EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 2018

2017

  1. Double MRF for water classification in SAR images by joint detection and reflectivity estimation
    Sylvain Lobry, Loïc Denis, Florence Tupin, and 1 more author
    In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
  2. Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection
    Sylvain Lobry, Florence Tupin, and Roger Fjortoft
    In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
  3. Urban area change detection based on generalized likelihood ratio test
    Weiying Zhao, Sylvain Lobry, Henri Maitre, and 2 more authors
    In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017

2016

  1. A decomposition model for scatterers change detection in multi-temporal series of SAR images
    Sylvain Lobry, Florence Tupin, and Loïc Denis
    In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
  2. Non-Uniform Markov Random Fields for Classification of SAR Images
    Sylvain Lobry, Florence Tupin, and Roger Fjortoft
    In Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, 2016

2015

  1. Sparse + smooth decomposition models for multi-temporal SAR images
    Sylvain Lobry, Loïc Denis, and Florence Tupin
    In 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 2015


National Conferences

2023

  1. Évaluation du couvert neigeux à partir d’images SAR par apprentissage profond basé sur des images optiques de référence
    Mathias Montginoux, Flora Weissgerber, Sylvain Lobry, and 1 more author
    In GRETSI, 2023
  2. Transposition de données mutlidimensionelles en images pour pallier le fléau de la dimension
    Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, and 1 more author
    In ORASIS, 2023

2022

  1. Apprentissage profond pour la classification de QR Codes bruités
    Rebecca Leygonie, Sylvain Lobry, and Laurent Wendling
    In RFIAP/CAP 2022, 2022

2021

  1. Segmentation Sémantique pour la Simulation d’Images SAR
    Nathan Letheule, Flora Weissgerber, Sylvain Lobry, and 1 more author
    In ORASIS 2021, 2021

2017

  1. Détection de l’eau dans les images radar du futur satellite SWOT
    Sylvain Lobry, Roger Fjortoft, Loı̈c Denis, and 1 more author
    In GRETSI, 2017

2016

  1. Un modèle de décomposition pour la détection de changement dans les séries temporelles d’images RSO
    Sylvain Lobry, Loı̈c Denis, and Florence Tupin
    In RFIA, 2016