Publications by Sylvain Lobry | EPFL Graph Search

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

Devis Tuia, Christel Marie Tartini-Chappuis, Nicola Antonio Santacroce, Sylvain Lobry, Javiera Francisca Castillo Navarro

Introduced to enable a wider use of Earth Observation images using natural language, Remote Sensing Visual Question Answering (RSVQA) remains a challenging task, in particular for questions related to counting. To address this specific challenge, we propos ...

2023

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

Devis Tuia, Christel Marie Tartini-Chappuis, Valérie Zermatten, Sylvain Lobry

Remote sensing visual question answering (RQA) was recently proposed with the aim of interfacing natural language and vision to ease the access of information contained in Earth Observation data for a wide audience, which is granted by simple questions in ...

2022

Language Transformers for Remote Sensing Visual Question Answering

Devis Tuia, Christel Marie Tartini-Chappuis, Vincent Alexandre Mendez, Sylvain Lobry

Remote sensing visual question answering (RSVQA) opens new avenues to promote the use of satellites data, by interfacing satellite image analysis with natural language processing. Capitalizing on the remarkable advances in natural language processing and c ...

IEEE2022

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

Devis Tuia, Sylvain Lobry

Visual Question Answering is a new task that can facilitate the extraction of information from images through textual queries: it aims at answering an open-ended question formulated in natural language about a given image. In this work, we introduce a new ...

IEEE2021

Wasserstein Adversarial Regularization for learning with label noise

Devis Tuia, Nicolas Courty, Sylvain Lobry

Noisy labels often occur in vision datasets, especially when they are obtained from crowdsourcing or Web scraping. We propose a new regularization method, which enables learning robust classifiers in presence of noisy data. To achieve this goal, we propose ...

2021

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

Devis Tuia, Christel Marie Tartini-Chappuis, Benjamin Alexander Kellenberger, Sylvain Lobry

2021

A deep learning framework for matching of SAR and optical imagery

Devis Tuia, Sylvain Lobry, Lloyd Haydn Hughes

SAR and optical imagery provide highly complementary information about observed scenes. A combined use of these two modalities is thus desirable in many data fusion scenarios. However, any data fusion task requires measurements to be accurately aligned. Wh ...

2020