Javiera Castillo-Navarro

Orcid: 0000-0003-4917-5103

Affiliations:
  • Ecole Polytechnique Féderale de Lausanne, Switzerland


According to our database1, Javiera Castillo-Navarro authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Knowledge-Aware Text-Image Retrieval for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

What to align in multimodal contrastive learning?
CoRR, 2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations.
CoRR, 2024

Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images.
Proceedings of the IGARSS 2024, 2024

Knowledge-Aware Visual Question Generation for Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Text as a Richer Source of Supervision in Semantic Segmentation Tasks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-task prompt-RSVQA to explicitly count objects on aerial images.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

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).
PhD thesis, 2022

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study.
Mach. Learn., 2022

2021
Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
On Auxiliary Losses for Semi-Supervised Semantic Segmentation.
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?
Proceedings of the Joint Urban Remote Sensing Event, 2019


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