72 citations · 75 across the 8 of their papers we have counts for
8 papers
Knowledge-aware Visual Question Generation for Remote Sensing Images
Siran Li, Li Mi, Javiera Castillo-Navarro +1
With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing image retriev…
Questions beyond Pixels: Integrating Commonsense Knowledge in Visual Question Generation for Remote Sensing
Siran Li, Li Mi, Javiera Castillo-Navarro +1
With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing semantic imag…
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
Valerie Zermatten, Javiera Castillo-Navarro, Pallavi Jain +2
The presence of species provides key insights into the ecological properties of a location such as land cover, climatic conditions or even soil properties. We propose a method to p…
What to align in multimodal contrastive learning?
Benoit Dufumier, Javiera Castillo-Navarro, Devis Tuia +1
Humans perceive the world through multisensory integration, blending the information of different modalities to adapt their behavior. Contrastive learning offers an appealing solut…
Knowledge-aware Text-Image Retrieval for Remote Sensing Images
Li Mi, Xianjie Dai, Javiera Castillo-Navarro +1
Image-based retrieval in large Earth observation archives is challenging because one needs to navigate across thousands of candidate matches only with the query image as a guide. B…
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
Li Mi, Chang Xu, Javiera Castillo-Navarro +4
Cross-view geo-localization aims at localizing a ground-level query image by matching it to its corresponding geo-referenced aerial view. In real-world scenarios, the task requires…
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo-Navarro +3
Asking questions about visual environments is a crucial way for intelligent agents to understand rich multi-faceted scenes, raising the importance of Visual Question Generation (VQ…
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch +2
The development of semi-supervised learning techniques is essential to enhance the generalization capacities of machine learning algorithms. Indeed, raw image data are abundant whi…