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 papers

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

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

To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy

By authors:

Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, and Wojciech Samek

Published in:

PLOS ONE 2022 ;Volume 17.(10)

on

October 18, 2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

By authors:

Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

Published in:

NeurIPS 2022

on

September 15, 2022

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

By authors:

Xujie Zhang, Yu Sha, Michael Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang

Published in:

ACM Multimedia (ACM MM 2022)

on

August 11, 2022

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

By authors:

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

Published in:

International Journal of Remote Sensing, 2022

on

July 1, 2022

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

By authors:

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

Published in:

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022)

on

June 30, 2022

Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed Accelerometer

By authors:

Wajdan, Ali and Jahren, Tollef Struksnes and Villegas-Martinez, Manuel and Khan, Faraz H and Halvorsen, Per Steinar and Odland, Hans Henrik and Elle, Ole Jakob and Solberg, Anne H Schistad and Remme, Espen W

Published in:

IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 9, pp. 4450-4461

on

June 9, 2022

Principle of Relevant Information for Graph Sparsification

By authors:

Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen and Jose C. Principe

Published in:

Conference on Uncertainty in Artificial Intelligence (UAI) 2022

on

May 20, 2022

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images

By authors:

Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen and Stian Normann Anfinsen

Published in:

IEEE Transactions on Neural Networks and Learning Systems 2022

on

May 12, 2022

Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN

By authors:

Børge Solli Andreassen, David Völgyes, Eigil Samset, Anne H. Schistad Solberg

Published in:

IEEE Access, Engineering in Medicine and Biology Section

on

May 10, 2022

Other publications

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