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

AI matches human experts in classifying microscopic organisms

July 16, 2025
By
Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen

Visual Data Diagnosis and Debiasing with Concept Graphs

September 26, 2024
By
Chakraborty, Rwiddhi; Wang, Yinong; Gao, Jialu; Zheng, Runkai; Zhang, Cheng; De la Torre, Fernando

All publications

Polar mesospheric summer echo (PMSE) multilayer properties during the solar maximum and solar minimum

By authors:

Jozwicki, D., Sharma, P., Huyghebaert, D., and Mann, I.

Published in:

Ann. Geophys., 42, 431–453,

on

November 11, 2024

Better, Not Just More: Data-centric machine learning for Earth observation

By authors:

Roscher, Ribana; Russwurm, Marc; Gevaert, Caroline; Kampffmeyer, Michael Christian; Santos, Jefersson A. Dos; Vakalopoulou, Maria; Hansch, Ronny; Hansen, Stine; Nogueira, Keiller; Prexl, Jonathan; Tuia, Devis

Published in:

EEE Geoscience and Remote Sensing Magazine 2024 s. 1-22

on

October 31, 2024

Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography

By authors:

Andreassen, B.S., Thomas, S., Solberg, A.H.S., Samset, E., Völgyes, D.

Published in:

ASMUS 2024. Lecture Notes in Computer Science, vol 15186

on

October 5, 2024

Visual Data Diagnosis and Debiasing with Concept Graphs

By authors:

Chakraborty, Rwiddhi; Wang, Yinong; Gao, Jialu; Zheng, Runkai; Zhang, Cheng; De la Torre, Fernando

Published in:

Advances in Neural Information Processing Systems

on

September 26, 2024

Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

By authors:

Dhananjay Tomar, Alexander Binder, Andreas Kleppe

Published in:

Advances in Neural Information Processing Systems 2024

on

September 24, 2024

LSNetv2: Improving weakly supervised power line detection with bipartite matching

By authors:

Tran, Duy Khoi; Nguyen, van Nhan; Roverso, Davide; Jenssen, Robert; Kampffmeyer, Michael Christian.

Published in:

Expert Systems with Applications, Volume 250 , 2024, 123773

on

September 15, 2024

BrainIB: Interpretable brain network-based psychiatric diagnosis with graph information bottleneck

By authors:

Zheng, Kaizhong; Yu, Shujian; Li, Baojuan; Jenssen, Robert; Chen, Badong.

Published in:

IEEE Transactions on Neural Networks and Learning Systems

on

September 13, 2024

PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding

By authors:

Pan, Yi; Zhang, Yujia; Kampffmeyer, Michael Christian; Zhao, Xiaoguang.

Published in:

2024 International Joint Conference on Neural Networks (IJCNN). IEEE conference proceedings 2024 ISBN 979-8-3503-5931-2

on

September 9, 2024

An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images

By authors:

Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric Xing

Published in:

Applied Soft Computing, Volume 163 , 111855

on

September 1, 2024

A Spitting Image: Modular Superpixel Tokenization in Vision Transformers

By authors:

Marius Aasan, Odd Kolbjørnsen, Anne Schistad Solberg, Adín Ramirez Rivera

Published in:

ECCV (MELEX) 2024 Workshop Proceedings

on

August 28, 2024

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