Publications

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Journals:

  • Kilian Fatras, Barath Bhushan Damodaran, Sylvain Lobry, Rémy Flamary, Devis Tuia, Nicolas Courty
    Wasserstein Adversarial Regularization for learning with label noise
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
    IEEE Library, Pre-print (arXiv)
  • Rúna Í. Magnússon, Juul Limpens, David Kleijn, Ko van Huissteden, Trofim C. Maximov, Sylvain Lobry, Monique M. P. D. Heijmans
    Shrub decline and expansion of wetland vegetation revealed by very high resolution land cover change detection in the Siberian lowland tundra,
    Science of the Total Environment, 2021
    Open access
  • Sylvain Lobry, Loïc Denis, Brent Williams, Roger Fjørtoft, Florence Tupin,
    Water Detection in SWOT HR Images Based on Multiple Markov Random Fields,
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
    IEEE Library, Pre-print
  • Sylvain Lobry, Loïc Denis, Florence Tupin,
    Multi-temporal SAR image decomposition into strong scatterers, background, and speckle,
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
    IEEE Library, Pre-print

National journal:

  • Sylvain Lobry, Loïc Denis, Florence Tupin, Weiying Zhao,
    Décomposition de séries temporelles d’images SAR pour la détection de changement,
    Traitement du Signal (GRETSI, Lavoisier) (in press)

International conferences:
Presented in oral presentations when first author.

  • 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 Workshop @ ECML/PKDD 2021
    Pre-print
  • Sylvain Lobry, Diego MarcosBenjamin Kellenberger, Devis Tuia,
    Better generic objects counting when asking questions to images : a multitask approach for remote sensing visual question answering,
    ISPRS Congress 2020
  • Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu,
    Learning From Noisy Labels With NLP and Label Correlation Regularization For Multi-Label Aerial Image Classification,
    International Geoscience and Remote Sensing Symposium (IGARSS) 2020
  • Diego Marcos, Sylvain Lobry, Devis Tuia,
    Semantically Interpretable Activation Maps: what-where-how explanations within CNNs,
    ICCV workshop (XAI) 2019
  • Benjamin Kellenberger, Diego Marcos, Sylvain LobryDevis Tuia,
    Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning,
    ICCV CVWC 2019, Peer reviewed track (from the TGRS paper of the same title).
  • Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia,
    Visual Question Answering from Remote Sensing Images,
    International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
    IEEE Library
  • Sylvain Lobry, Devis Tuia,
    Deep Learning Models to Count Buildings in High-Resolution Overhead Images,
    Joint Urban Remote Sensing Event (JURSE) 2019.
    IEEE Library, Pre-print
  • Diego Marcos, Benjamin KellenbergerSylvain Lobry, Devis Tuia,
    Scale equivariance in CNNs with vector fields,
    International Conference on Machine Learning (ICML)/FAIM workshop on Towards learning with limited labels: Equivariance, Invariance, and Beyond 2018.
    arXiv
  • Sylvain Lobry, Loïc Denis, Florence Tupin, Roger Fjørtoft,
    Double MRF for water classification in SAR images by joint detection and reflectivity estimation,
    International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.
    IEEE Library, Draft
  • Sylvain Lobry, Florence Tupin, Roger Fjørtoft,
    Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection,
    International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.
    IEEE Library, Draft
  • Sylvain Lobry, Florence Tupin, Loïc Denis,
    A decomposition model for scatterers change detection in multi-temporal series of SAR images.
    International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016.
    IEEE Library, Draft
  • Sylvain Lobry, Florence Tupin, Roger Fjørtoft,
    Non-Uniform Markov Random Fields for Classification of SAR Images,
    European Conference on Synthetic Aperture Radar (EUSAR), Hamburg, Germany, June 2016.
    IEEE Library, Draft, slides
  • Sylvain Lobry, Florence Tupin, Loïc Denis,
    Sparse+Smooth decomposition model for multi-temporal SAR images,
    International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), Annecy, France, July 2015.
    IEEE Library, Draft

National conferences:

  • Nathan Letheule, Flora Weissgerber, Sylvain Lobry, Elise Colin-Koeniguer
    Segmentation Sémantique pour la Simulation d’Images SAR,
    ORASIS, September 2021.
    Paper
  • Sylvain Lobry, Loïc Denis, Florence Tupin, Roger Fjørtoft,
    Détection de l’eau dans les images radar du futur satellite SWOT,
    GRETSI, September 2017.
    Paper
  • Sylvain Lobry, Florence Tupin, Loïc Denis,
    Un modèle de décomposition pour la détection de changement dans les séries temporelles d’images RSO,
    RFIA, Clermont-Ferrand, France, July 2016.
    Paper

PhD Thesis

Sylvain Lobry, Markovian models for SAR images: Application to water detection in SWOT satellite images and multi-temporal analysis of urban areas, November 2017, PhD