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:
Chakraborty, Rwiddhi; Sletten, Adrian; Kampffmeyer, Michael Christian.
Published in:
Computer Vision and Pattern Recognition 2024
on
March 20, 2024
By authors:
Dong, Nanqing; Wang, Zhipeng; Sun, Jiahao; Kampffmeyer, Michael Christian; Knottenbelt, William; Xing, Eric.
Published in:
IEEE Transactions on Artificial Intelligence (TAI)
on
March 18, 2024
By authors:
Joakimsen, H. L., Martinsen I., Luppino, L. T., McDonald, A., Hosking, S., and Jenssen, R.
Published in:
IEEE Geoscience and Remote Sensing Letters
on
February 14, 2024
By authors:
Xie, Wanyun; Pethick, Thomas; Ramezani-Kebrya, Ali; Cevher, Volkan
Published in:
Transactions on Machine Learning Research (02/2024)
on
February 4, 2024
By authors:
Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Principe, Jose.
Published in:
International Conference on Learning Representations 2024
on
January 16, 2024
By authors:
Jensen, Are Charles
Published in:
Proceedings of Machine Learning Research (PMLR) ISSN 2640-3498. 233, p. 97–103
on
January 8, 2024
By authors:
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang
Published in:
Journal of Machine Learning Research 25 (2024) 1-56
on
January 1, 2024
By authors:
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen,
Published in:
Neural Networks, Volume 169, 2024, Pages 417-430
on
November 4, 2023
By authors:
Olesen, Kristoffer Vinther; Boubekki, Ahcene; Kampffmeyer, Michael Christian; Jenssen, Robert; Christensen, Anders Nymark; Hørlück, Sune; Clemmensen, Line H. A
Published in:
Journal of Marine Science and Engineering (JMSE) 2023 ;Volum 11.(11)
on
October 31, 2023
By authors:
Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert.
Published in:
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023, pp. 1-6
on
October 23, 2023