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

New Visual Intelligence paper accepted to NeurIPS

September 15, 2022
By
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

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

July 1, 2022
By
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

All publications

Mixing up contrastive learning: Self-supervised representation learning for time series

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

Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

By authors:

Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Published in:

Medical Image Analysis

on

February 11, 2022

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation

By authors:

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen and Michael Kampffmeyer

Published in:

IEEE International Symposium on Biomedical Imaging (ISBI) 2022

on

February 1, 2022

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN

By authors:

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang

Published in:

Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021)

on

December 23, 2021

Machine Learning + Marine Science: Critical Role of Partnerships in Norway

By authors:

Nils Olav Handegard, Line Eikvil, Robert Jenssen, Michael Kampffmeyer, Arnt-Børre Salberg, and Ketil Malde

Published in:

Journal of Ocean Technology 2021

on

October 6, 2021

Semi-supervised target classification in multi-frequency echosounder data

By authors:

Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt-Børre Salberg, Olav Brautaset, Line Eikvil, Robert Jenssen

Published in:

ICES Journal of Marine Science, Volume 78, Issue 7, October 2021, Pages 2615–2627

on

August 12, 2021

Joint optimization of an autoencoder for clustering and embedding

By authors:

Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

Published in:

Machine Learning (2021)

on

June 21, 2021

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

By authors:

Qinghui Liu (Brian), Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

Published in:

International Journal of Remote Sensing

on

June 16, 2021

Reconsidering Representation Alignment for Multi-view Clustering

By authors:

Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer

Published in:

CVPR 2021

on

March 13, 2021

Morphological and molecular breast cancer profiling through explainable machine learning

By authors:

Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller & Frederick Klauschen

Published in:

Nature Machine Intelligence volume 3, pages 355–366 (2021)

on

March 8, 2021

Other publications

annual reports