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 12 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

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

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