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.
August 29, 2024
Associate professor Kristoffer Wickstrøm represented Visual Intelligence at Nordnorsk ingeniørkonferanse 2024.
We happily welcome Christian Salomonsen, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø.
Ida Häggström, Associate Professor at the unit of Computer Vision and Medical Image Analysis, dept. of Electrical Engineering at Chalmers University of Technology.
ViTs partition images into square patches to extract tokenized features. But is this necessarily an optimal way of partitioning images?
- This work shows that there is great potential in utilizing AI in this field, says researcher Iver Martinsen.
By authors:
Marius Aasan, Odd Kolbjørnsen, Anne Schistad Solberg, Adín Ramirez Rivera
Published in:
ECCV (MELEX) 2024 Workshop Proceedings
on
August 28, 2024
By authors:
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera
Published in:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45451-45467, 2024
on
July 29, 2024
By authors:
Iver Martinsen, David Wade, Benjamin Ricaud, Fred Godtliebsen
Published in:
Artificial Intelligence in Geosciences, Volume 5, 2024
on
June 8, 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:
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
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 more
We 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.
