Sylvain Lobry

According to our database, Sylvain Lobry authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation.

Christel Chappuis, Eliot Walt, Vincent Mendez, Sylvain Lobry, Bertrand Le Saux, Devis Tuia

CoRR, 2023

Deep learning for classification of noisy QR codes.

Rebecca Leygonie, Sylvain Lobry, Laurent Wendling

CoRR, 2023

Seasonal semi-supervised domain adaptation for linking population studies and Local Climate Zones.

Basile Rousse, Sylvain Lobry, Géraldine Duthé, Valérie Golaz, Laurent Wendling

Proceedings of the Joint Urban Remote Sensing Event, 2023

Automatic Simulation of SAR Images: Comparing a Deep-Learning Based Method to a Hybrid Method.

Nathan Letheule, Flora Weissgerber, Sylvain Lobry, Elise Colin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality.

Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, Laurent Wendling

Proceedings of the IEEE International Conference on Image Processing, 2023

An a contrario approach for plant disease detection.

Rebecca Leygonie, Sylvain Lobry, Laurent Wendling

Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

Multi-task prompt-RSVQA to explicitly count objects on aerial images.

Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia

Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022

Wasserstein Adversarial Regularization for Learning With Label Noise.

Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Language Transformers for Remote Sensing Visual Question Answering.

Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Embedding Spatial Relations in Visual Question Answering for Remote Sensing.

Maxime Faure, Sylvain Lobry, Camille Kurtz, Laurent Wendling

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering.

Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

How to find a good image-text embedding for remote sensing visual question answering?

Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021

RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing.

Sylvain Lobry, Begüm Demir, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

RSVQA: Visual Question Answering for Remote Sensing Data.

Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia

IEEE Trans. Geosci. Remote. Sens., 2020

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data.

Shivangi Srivastava, John E. Vargas-Munoz, Sylvain Lobry, Devis Tuia

Int. J. Geogr. Inf. Sci., 2020

Interpretable Scenicness from Sentinel-2 Imagery.

Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings.

Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Contextual Semantic Interpretability.

Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

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, Devis Tuia

IEEE Trans. Geosci. Remote. Sens., 2019

Water Detection in SWOT HR Images Based on Multiple Markov Random Fields.

Sylvain Lobry, Loïc Denis, Brent Williams, Roger Fjørtoft, Florence Tupin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.

Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

CoRR, 2019

Correcting rural building annotations in OpenStreetMap using convolutional neural networks.

John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia

CoRR, 2019

Deep Learning Models to Count Buildings in High-Resolution Overhead Images.

Sylvain Lobry, Devis Tuia

Proceedings of the Joint Urban Remote Sensing Event, 2019

Visual Question Answering From Remote Sensing Images.

Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs.

Diego Marcos, Sylvain Lobry, Devis Tuia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Scale equivariance in CNNs with vector fields.

Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia

CoRR, 2018

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence.

John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

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).

Sylvain Lobry

PhD thesis, 2017

Urban area change detection based on generalized likelihood ratio test.

Weiying Zhao, Sylvain Lobry, Henri Maître, Jean-Marie Nicolas, Florence Tupin

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection.

Sylvain Lobry, Florence Tupin, Roger Fjørtoft

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Double MRF for water classification in SAR images by joint detection and reflectivity estimation.

Sylvain Lobry, Loïc Denis, Florence Tupin, Roger Fjørtoft

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Multitemporal SAR Image Decomposition into Strong Scatterers, Background, and Speckle.

Sylvain Lobry, Loïc Denis, Florence Tupin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A decomposition model for scatterers change detection in multi-temporal series of SAR images.

Sylvain Lobry, Florence Tupin, Loïc Denis

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Sparse + smooth decomposition models for multi-temporal SAR images.

Sylvain Lobry, Loïc Denis, Florence Tupin

Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015