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.
June 20, 2024
María Castro Fernández is a PhD Candidate at the Research Institute of Applied Microelectronics at Universidad de Las Palmas de Gran Canaria, in Spain. She visited Visual Intelligence in Tromsø from January to June 2024.
AI tools wield enormous potential within the health sector. How do we ensure that such tools are safely implemented and used within this field? The event will take place on August 14th, 11:45-12:45 at Bankgården, Strandgaten 2-4.
Kan KI bli en trussel mot pasientsikkerheten? Kan bruken av KI øke faren for at sensitiv informasjon blir spredd? Kan vi stole på at kunstig intelligens driver likebehandling av pasienter? Er dagens nasjonale lovverk godt nok for å hindre misbruk? Og hva skjer når AI Act kommer?
The paper focuses on interrogating the effect of the IceNet's input feature with a gradient-based analysis.
We propose DeepMVC – a unified framework which includes many recent methods as instances.
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
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
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.
