Scientific publications

At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.

Featured blog posts

Interrogating Sea Ice Predictability With Gradients

February 14, 2024
By
Joakimsen, H. L., Martinsen I., Luppino, L. T., McDonald, A., Hosking, S., and Jenssen, R.

Merging clustering into deep supervised neural network

June 4, 2023
By
Durgesh Singh, Ahcéne Boubekki, Robert Jenssen, Michael C. Kampffmeyer

All publications

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

By authors:

Daniel J. Trosten*, Rwiddhi Chakraborty*, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael Kampffmeyer (* indicates equal contribution)

Published in:

CVPR 2023

on

March 6, 2023

SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification

By authors:

Khachatrian, Eduard; Dierking, Wolfgang; Chlaily, Saloua; Eltoft, Torbjørn; Dinessen, Frode; Hughes, Nick; Marinoni, Andrea.

Published in:

Geophysical Research Letters 2023 ;Volum 50.(4) s.1-7

on

February 14, 2023

The Kernelized Taylor Diagram

By authors:

Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Eivindson Løkse, Gusatu Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, and Robert Jenssen

Published in:

NAIS 2022 Communications in Computer and Information Science, vol 1650. Springer

on

February 2, 2023

Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data

By authors:

Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt-Børre Salberg and Robert Jenssen

Published in:

IEEE Journal of Oceanic Engineering

on

February 1, 2023

Deep Semi supervised Semantic Segmentation in Multifrequency Echosounder Data

By authors:

Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt-Børre; Jenssen, Robert.

Published in:

IEEE Journal of Oceanic Engineering 2023 ;Volum 48.(2) s.384-400

on

February 1, 2023

A Generalized Geodesic Distance-Based Approach for Analysis of SAR Observations Across Polarimetric Modes

By authors:

Debanshu Ratha, Andrea Marinoni and Torbjørn Eltoft

Published in:

IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023

on

December 23, 2022

Federated Partially Supervised Learning With Limited Decentralized Medical Images

By authors:

Dong, Nanqing; Kampffmeyer, Michael; Voiculescu, Irina; Xing, Eric

Published in:

IEEE Transactions on Medical Imaging 2023 ;Volum 42.(7) s.1944-1954

on

December 20, 2022

A self-guided anomaly detection-inspired few-shot segmentation network

By authors:

Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen

Published in:

CEUR Workshop Proceedings 2022, Volum 3271.

on

November 13, 2022

Gated information bottleneck for generalization in sequential environments

By authors:

Francesco Alesiani, Shujian Yu and Xi Yu

Published in:

Knowledge and Information Systems (KAIS)

on

October 31, 2022

Cartoon Explanations of Image Classifiers

By authors:

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, and Gitta Kutyniok

Published in:

European Conference on Computer Vision, 443-458, Springer Nature Switzerland

on

October 23, 2022

Other publications

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