A Norwegian centre for research-based innovation

Through long-term research in close collaboration between industry, public institutions and prominent research partners, we enable novel innovations, technology transfer, internationalization and researcher training.

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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.

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VI seminar #23 – nnU-Net

May 12, 2022

Latest news

Visual Intelligence visits by Lars Kai Hansen and Irina Voiculescu

November 16, 2022

We had the great pleasure of hosting Lars Kai Hansen, Technical University of Denmark, and Irina Voiculescu, University of Oxford, at the Visual Intelligence centre in Tromsø.

Successful PhD defense in the Visual Intelligence research centre

November 14, 2022

Kristoffer Wickstrøm defended his PhD thesis “Advancing deep learning with emphasis on data-driven healthcare” on Oct 28 at UiT The Arctic University of Norway.

When:
January 10, 2023
,
9:00
January 12, 2023
,
16:00
@
Tromsø, Norway

This conference will gather researchers both on a national and international level to exchange ideas, encourage collaborations and present cutting-edge research.

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New Visual Intelligence paper accepted to NeurIPS

September 23, 2022

ProtoVAE explainability paper by Srishti Gautam and co-authors is published to NeurIPS 2022.

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Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

August 1, 2022

We present a novel pyramid attention and gated fusion method (MultiModNet) for multi-modality land cover mapping in remote sensing.

Recent publications

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

By authors:

Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

Published in:

NeurIPS 2022

on

September 15, 2022

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

By authors:

Xujie Zhang, Yu Sha, Michael Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang

Published in:

ACM Multimedia (ACM MM 2022)

on

August 11, 2022

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

By authors:

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

Published in:

International Journal of Remote Sensing, 2022

on

July 1, 2022

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

By authors:

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

Published in:

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022)

on

June 30, 2022

Principle of Relevant Information for Graph Sparsification

By authors:

Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen and Jose C. Principe

Published in:

Conference on Uncertainty in Artificial Intelligence (UAI) 2022

on

May 20, 2022

Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN

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

Research challenges

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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Innovation areas

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.

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Our partners

Visual 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.

UiT The Arctic University of Norway logoUiO: University of Oslo logoNorwegian Computing Centre logoUniversity hospital of north norway logoHelse nord ikt logoInstitute of marine research logoField Group logoKongsberg satellite services logoGE Healthcare logoEquinor logoCancer Registry of Norwat logo