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.
May 12, 2022
We invited companies, the public sector, and other organizations to present their ideas for master’s projects and to connect with students having an interest and background in computer science and machine learning.
Annual Visual Intelligence workshop to strengthened technology transfer, as well as knowledge transfer within the Visual intelligence consortium.
By authors:
Børge Solli Andreassen, David Völgyes, Eigil Samset, Anne H. Schistad Solberg
Published in:
IEEE Access, Engineering in Medicine and Biology Section
on
May 10, 2022
By authors:
Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Published in:
IEEE Transactions on Image Processing, vol. 31, pp. 525-540, 2022
on
March 11, 2022
By authors:
Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang
Published in:
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
on
March 3, 2022
By authors:
Phuong D. Ngo, Miguel Tejedor and Fred Godtliebsen
Published in:
Appl. Sci. 2022, 12(4), 2262
on
February 21, 2022
By authors:
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Published in:
Pattern Recognition Letters, Volume 155, March 2022, Pages 54-61
on
February 12, 2022
By authors:
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
Published in:
Medical Image Analysis
on
February 11, 2022
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.
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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.
