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

Klare for å levere toppforskning og innovasjon innen kunstig intelligens (KI)

September 7, 2023

Visual intelligence og norske forskningssentre innen kunstig intelligens er klare til å bidra til regjeringens ambisiøse milliardsatsning på KI for å utvikle trygg, pålitelig, og effektiv kunstig intelligens som vil gagne samfunnet, innovasjonen og utdanningen.

When:
September 26, 2023
,
14:00
September 26, 2023
,
22:00
@
University of Oslo (UiO), Gaustadsalléen 23B in Ole Johan Dahls hus

Afternoon program for young researchers and graduate students

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Merging clustering into deep supervised neural network

June 8, 2023

Introducing the SuperCM technique to significantly improve classification results across various types of image data.

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Addressing Distribution Shifts in Federated Learning for Enhanced Generalization Performance

June 4, 2023

Training and test data from different clients pose a challenge.

Recent publications

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

By authors:

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

Published in:

ICCV 2023

on

August 20, 2023

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos,

By authors:

Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang

Published in:

ICCV 2023

on

August 20, 2023

SuperCM: Revisiting Clustering for Semi-Supervised Learning

By authors:

Durgesh Singh, Ahcéne Boubekki, Robert Jenssen, Michael C. Kampffmeyer

Published in:

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

on

June 4, 2023

Federated Learning under Covariate Shifts with Generalization Guarantees

By authors:

Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher

Published in:

Transactions on Machine Learning Research

on

June 1, 2023

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

By authors:

Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne

Published in:

Transactions on Machine Learning Research (06/2023)

on

June 1, 2023

Distributed extra-gradient with optimal complexity and communication guarantees

By authors:

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher

Published in:

International Conference on Learning Representations ICLR 2023

on

May 1, 2023

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