
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:
Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba A. Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
Published in:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.
on
September 17, 2025
By authors:
Inès Meraoumia, Debanshu Ratha, Emanuele Dalsasso, Johannes Lohse, Florence Tupin, Andrea Marinoni, Loic Denis
Published in:
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
Published in:
International Conference on Machine Learning (ICLM) 2025
on
August 13, 2025
By authors:
Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen
Published in:
Artificial Intelligence in Geosciences
on
July 16, 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:
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
By authors:
Suaiba A. Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer and Robert Jenssen
Published in:
Lecture Notes in Computer Science (LNCS) 2025 ;Volum 15726.
on
June 16, 2025
By authors:
Jing Wang, Songhe Feng, Kristoffer Wickstrøm, Michael Kampffmeyer
Published in:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10285-10294, 2025
on
June 10, 2025
By authors:
A. Waldeland, T.J.L. Forgaard, A. Ordonez, D. Wade and A.J. Bugge
Published in:
86th EAGE Annual Conference & Exhibition, Jun 2025, Volume 2025, p.1 - 5
on
June 2, 2025