Javiera Castillo-Navarro

According to our database, Javiera Castillo-Navarro authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance.

Valérie Zermatten, Xiaolong Lu, Javiera Castillo-Navarro, Tobias Kellenberger, Devis Tuia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

What to align in multimodal contrastive learning?

Benoit Dufumier, Javiera Castillo-Navarro, Devis Tuia, Jean-Philippe Thiran

CoRR, 2024

Knowledge-aware Text-Image Retrieval for Remote Sensing Images.

Li Mi, Xianjie Dai, Javiera Castillo-Navarro, Devis Tuia

CoRR, 2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations.

Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia

CoRR, 2024

Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images.

João Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut

Proceedings of the IGARSS 2024, 2024

Knowledge-Aware Visual Question Generation for Remote Sensing Images.

Siran Li, Li Mi, Javiera Castillo-Navarro, Devis Tuia

Proceedings of the IGARSS 2024, 2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.

Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Text as a Richer Source of Supervision in Semantic Segmentation Tasks.

Valérie Zermatten, Javiera Castillo Navarro, Lloyd Hughes, Tobias Kellenberger, Devis Tuia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

MiniFrance.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre

Dataset, June, 2022

Apprentissage semi-supervisé pour la compréhension des données d'observation de la Terre à large-échelle. (Semi-supervised learning for large-scale Earth observation data understanding).

Javiera Castillo-Navarro

PhD thesis, 2022

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

IEEE Trans. Geosci. Remote. Sens., 2022

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, Nicolas Audebert, Sébastien Lefèvre

Mach. Learn., 2022

2021

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

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

2020

On Auxiliary Losses for Semi-Supervised Semantic Segmentation.

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre

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 2020), 2020

2019

What Data are needed for Semantic Segmentation in Earth Observation?

Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre

Proceedings of the Joint Urban Remote Sensing Event, 2019