The authors of the paper that won best paper at CVCS 2022. From the right: Srishti Gautam, Suaiba Salahuddin and Stine Hansen.
Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!
Suaiba Salahuddin, Stine Hansen, and Sristhi Gautam won the best paper award at the 11th Color and Visual Computing Symposium, Sept. 8-9, 2022!
The paper was entitled "A self-guided anomaly detection-inspired few-shot segmentation network".
The work describes a new approach for automatically finding (segmenting) organs in medical imagery such as MRI and is based on deep learning. The new method can work even in scenarios where the neural network is presented with extremely little annotated data. A major component is self-training, in the sense of creating pseudo-annotations for use in the so-called few shot training process of the network, as well as a self-guiding element to make as few errors as possible.
Suaiba Salahuddin says in a comment:
-It was an amazing research opportunity to collaborate on my first paper with Stine Hansen and Srishti Gautam under the supervision of Michael Kampffmeyer and Robert Jenssen.
-I am privileged to have helped contribute towards critical medical AI challenges such as limited data. I am honoured and motivated to pursue further high-quality research having received the CVCS award!
The Visual Intelligence group at NR recently had a visit by from Mélissa Côté, Research Associate at the Computer Vision Lab to discuss deep learning and marine acoustic data.
Forskningsrådet står ovenfor en krevende oppgave med å blidgjøre et stort og aktivt KI-miljø i Norge. Vi håper at eksemplene på vellykket samarbeid mellom humanister og teknologer kan være til inspirasjon i prosessen
KnowEarth skal integrere menneskelig kunnskap i dagens AI-modeller og lage neste generasjons analyseverktøy. Nå er arbeidet endelig i gang!
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Michael Kampffmeyer presents "AI's future path, what are the opportunities?" at the Arctic Investment day 2023 hosted by Norinova.
Jacob Kauffmann, PhD student at the Machine Learning group at Technical University of Berlin, was a guest scientist at Visual Intelligence, UiT July-October 2023.
Fredrik Aspheim, Luigi Luppino, and Samuel Kuttner were co-authors of work that were awarded for best presentation at the Artificial Intelligence and Informatics in Nuclear Medicine Symposium Symposium (AINM) 2023.
The PhD position is part of the UiT-funded project “Consortium for patient-centered artificial intelligence” in close collaboration with the University Hospital of North Norway. As a part of our team, you will be key for transforming healthcare for the future needs with AI.
The Visual Intelligence Days (VI Days) took place Sept. 27 and 28 at Hotel Olavsgaard outside Oslo with 85 participants.
Sara Marie Björk defended her PhD thesis “Deep convolutional regression modelling for forest parameter retrieval” on October 6th 2023 at UiT The Arctic University of Norway.
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.
Maskinlæringsgruppa ved UiT skal i gang med å lage en permanent utstilling om kunstig intelligens. Målet er å rekruttere fremtidens forskere innen faget.
Daniel Johansen Trosten defended his PhD thesis “Improving Representation Learning for Deep Clustering and Few-shot Learning” on August 23rd 2023 at UiT The Arctic University of Norway.
Visual Intelligence researcher Kristoffer Wickstrøm was invited to give lectures at the Technical University of Denmark's summer school on self-supervised learning.
Ledig stilling som kommunikasjonsrådgiver i forskningsruppe for maskinlæring. Vi søker engasjert formidler som kan øke vår synlighet ved å formidle vår forskning til et bredt publikum.
Visual Intelligence’s advances in fundamental and applied deep learning research is gaining widespread attention and visibility.
Visual Intelligence-lead course on self-supervised learning as part of the NORA summer school 2023
The Tromsø AI Meetup 2023 brought together AI enthusiasts at Storgata Camping to connect, learn from notable speakers, and explore the exciting developments in AI, fostering a community passionate about responsible innovation in the field.
Changkyu Choi defended his PhD thesis “Advancing Deep Learning for Marine Environment Monitoring” on June 9th 2023 at UiT The Arctic University of Norway.
Visual Intelligence contributed to the Norwegian Parliament’s AI seminar organized by the Health and Care Services Committee