We research the next generation of deep learning methodology for visual data and produce solutions for our consortium partners across innovation areas in medicine and health, marine science, energy, and earth observation.
March 14, 2024
We congratulate Srishti Gautam for successfully defending her PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway.
Det sier førsteamanuensis Kristoffer Wickstrøm. På NHO Arktis sin årskonferanse i Alta delte han innsikt om KI-potensialet og argumenterte for hvorfor nordnorske bedrifter bør investere i denne teknologien. (Norwegian article).
Annual Visual Intelligence workshop to strengthened technology transfer, as well as knowledge transfer within the Visual intelligence consortium.
We propose DeepMVC – a unified framework which includes many recent methods as instances.
Introducing the SuperCM technique to significantly improve classification results across various types of image data.
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
By authors:
Chlaily, Saloua; Ratha, Debanshu; Lozou, Pigi; Marinoni, Andrea
Published in:
IEEE Transactions on Signal Processing 2023 ;Volum 71. s.3710-3725
on
October 12, 2023
By authors:
Bruno Souza; Marius Aasan; Helio Pedrini; Adıń Ramıŕez Rivera
Published in:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, France, 2023, pp. 4642-4647
on
October 2, 2023
By authors:
Blazquez-Garcia, Ane; Wickstrøm, Kristoffer Knutsen; Yu, Shujian; Mikalsen, Karl Øyvind; Boubekki, Ahcene; Conde, Angel; Mori, Usue; Jenssen, Robert; Lozano, Jose A.
Published in:
Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 9490-9501
on
September 1, 2023
By authors:
Tomasetti, Luca; Hansen, Stine; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Kampffmeyer, Michael Christian
Published in:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 2023, pp
on
September 1, 2023
Visual Intelligence address the research challenges of deep learning and computer vision that limit our user partners in utilizing their complex visual data in their applications.
Read moreWe contribute to reliable use of AI to detect heart disease, monitor the environment and potential natural disasters as well as detecting natural resources. Read more about our work in the different innovation areas.
Read moreVisual Intelligence is a consortium headed by UiT The Arctic University of Norway with research partners at the University of Oslo and the Norwegian Computing Center. Together with our consortium of high-profile user partners, we create cutting-edge solutions that will be implemented in the applications of the user partners.