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.
February 13, 2025
We had the pleasure of talking to students about the exciting career opportunities at Visual Intelligence and UiT The Arctic University of Norway during TEKdagen 2025
Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway
Thalles Silva, Ph.D. candidate and Research Scientist, University of Campinas, São Paulo, Brazil
We present a novel pyramid attention and gated fusion method (MultiModNet) for multi-modality land cover mapping in remote sensing.
We propose ConBias, a bias diagnosis and debiasing pipeline for visual datasets.
By authors:
H. N. Mirar, S. R. Snare and A. H. S. Solberg
Published in:
IEEE Transactions on Biomedical Engineering, vol. 72, no. 1, pp. 123-136, Jan. 2025
on
January 16, 2025
By authors:
Jozwicki, D., Sharma, P., Huyghebaert, D., and Mann, I.
Published in:
Ann. Geophys., 42, 431–453,
on
November 11, 2024
By authors:
Chakraborty, Rwiddhi; Wang, Yinong; Gao, Jialu; Zheng, Runkai; Zhang, Cheng; De la Torre, Fernando
Published in:
Advances in Neural Information Processing Systems
on
September 26, 2024
By authors:
Dhananjay Tomar, Alexander Binder, Andreas Kleppe
Published in:
Advances in Neural Information Processing Systems 2024
on
September 24, 2024
By authors:
Tran, Duy Khoi; Nguyen, van Nhan; Roverso, Davide; Jenssen, Robert; Kampffmeyer, Michael Christian.
Published in:
Expert Systems with Applications, Volume 250 , 2024, 123773
on
September 15, 2024
By authors:
Zheng, Kaizhong; Yu, Shujian; Li, Baojuan; Jenssen, Robert; Chen, Badong.
Published in:
IEEE Transactions on Neural Networks and Learning Systems
on
September 13, 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.
