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.
You can find all Visual Intelligence papers by scrolling down on this page.
By authors:
Cepeda, Santiago and Luppino, Luigi Tommaso and Pérez-Núñez, Angel and Solheim, Ole and García-García, Sergio and Velasco-Casares, María and Karlberg, Anna and Eikenes, Live and Sarabia, Rosario and Arrese, Ignacio and Zamora, Tomás and Gonzalez, Pedro and Jiménez-Roldán, Luis and Kuttner, Samuel
Published in:
Cancers. 2023; 15(6):1894.
on
March 22, 2023
By authors:
Wickstrøm, Kristoffer; Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Boubekki, Ahcene; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert
Published in:
International Journal of Computer Vision 2023 ;Volum 131.(6) s.1584-1610
on
March 11, 2023
By authors:
Daniel J. Trosten*, Rwiddhi Chakraborty*, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael Kampffmeyer (* indicates equal contribution)
Published in:
CVPR 2023
on
March 6, 2023
By authors:
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer.
Published in:
Computer Vision and Pattern Recognition 2023 s.23976-23985
on
March 6, 2023
By authors:
Khachatrian, Eduard; Dierking, Wolfgang; Chlaily, Saloua; Eltoft, Torbjørn; Dinessen, Frode; Hughes, Nick; Marinoni, Andrea.
Published in:
Geophysical Research Letters 2023 ;Volum 50.(4) s.1-7
on
February 14, 2023
By authors:
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Eivindson Løkse, Gusatu Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, and Robert Jenssen
Published in:
NAIS 2022 Communications in Computer and Information Science, vol 1650. Springer
on
February 2, 2023
By authors:
Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt-Børre Salberg and Robert Jenssen
Published in:
IEEE Journal of Oceanic Engineering
on
February 1, 2023
By authors:
Debanshu Ratha, Andrea Marinoni and Torbjørn Eltoft
Published in:
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023
on
December 23, 2022
By authors:
Dong, Nanqing; Kampffmeyer, Michael; Voiculescu, Irina; Xing, Eric
Published in:
IEEE Transactions on Medical Imaging 2023 ;Volum 42.(7) s.1944-1954
on
December 20, 2022
By authors:
Huang, Zaiyu; Li, Hanhui; Xie, Zhenyu; Kampffmeyer, Michael; Cai, Qingling; Liang, Xiaodan.
Published in:
Advances in Neural Information Processing Systems 2022 s. -
on
November 25, 2022