Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.
By authors:
Inès Meraoumia, Debanshu Ratha, Emanuele Dalsasso, Johannes Lohse, Florence Tupin, Andrea Marinoni, Loic Denis
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IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, 2025
on
September 16, 2025
By authors:
Rogelio A Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
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International Conference on Machine Learning (ICLM) 2025
on
August 13, 2025
By authors:
Shiqin Tang, Shujian Yu
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Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4132-4144, 2025
on
July 25, 2025
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Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen
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Artificial Intelligence in Geosciences
on
July 16, 2025
By authors:
Fredrik Andreas Dahl, Amund Vedal, Line Eikvil, Solveig Thrun, Michael Kampffmeyer, Solveig Sand-Hanssen Hofvind
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In: Ali, S., Hogg, D.C., Peckham, M. (eds) Medical Image Understanding and Analysis. MIUA 2025. Lecture Notes in Computer Science, vol 15917. Springer, Cham.
on
July 15, 2025
By authors:
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
Published in:
Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56549-56569, 2025
on
July 15, 2025
By authors:
Thalles Silva, Helio Pedrini and Adín Ramírez Rivera
Published in:
Forty-Second International Conference on Machine Learning (ICML), Vancouver, Canada 13-19 July, 2025
on
July 13, 2025
By authors:
Shujian Yu, Hongming Li, Sigurd Eivindson Løkse, Robert Jenssen, Jose C. Principe
Published in:
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 7, pp. 5901-5917, July 2025
on
July 1, 2025
By authors:
Changkyu Choi, Arangan Subramaniam, Nils Olav Handegard, Ali Ramezani-Kebrya and Robert Jenssen
Published in:
Proceedings of the Symposium of the Norwegian AI Society 2025, CEUR Workshop Proceedings ( ISSN 1613-0073)
on
June 17, 2025
By authors:
Marius Aasan, Adín Ramírez Rivera
Published in:
Proceedings of the Symposium of the Norwegian AI Society 2025, CEUR Workshop Proceedings ( ISSN 1613-0073)
on
June 17, 2025