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

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

Modular Superpixel Tokenization in Vision Transformers

August 28, 2024
By
Marius Aasan, Odd Kolbjørnsen, Anne Schistad Solberg, Adín Ramirez Rivera

All publications

Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration

By authors:

Changkyu Choi, Arangan Subramaniam, Nils Olav Handegard, Ali Ramezani-Kebrya and Robert Jenssen

Published in:

Proceedings of the Symposium of the Norwegian AI Society 2025, CEUR Workshop Proceedings ( ISSN 1613-0073)

on

June 17, 2025

Pixel-Level Predictions with Embedded Lookup Tables

By authors:

Marius Aasan, Adín Ramírez Rivera

Published in:

Proceedings of the Symposium of the Norwegian AI Society 2025, CEUR Workshop Proceedings ( ISSN 1613-0073)

on

June 17, 2025

Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance

By authors:

Suaiba A. Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer and Robert Jenssen

Published in:

Lecture Notes in Computer Science (LNCS) 2025 ;Volum 15726.

on

June 16, 2025

ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation

By authors:

Hyeongji Kim, Changkyu Choi, Michael Christian Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde

Published in:

Lecture Notes in Computer Science (LNCS) 2025

on

May 12, 2025

Addressing Label Shift in Distributed Learning via Entropy Regularization​

By authors:

Zhiyuan Wu, Changkyu Choi, Volkan Cevher, Ali Ramezani-Kebrya

Published in:

International Conference on Learning Representations 2025

on

April 29, 2025

Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer

By authors:

Nikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, Lill-Tove Rasmussen Busund, Stig Manfred Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas K. Kilvaer,

Published in:

Journal of Pathology Informatics

on

March 12, 2025

Motion compansated interpolation in echocardiography: A Lie-advection based approach

By authors:

H. N. Mirar, S. R. Snare and A. H. S. Solberg

Published in:

IEEE Transactions on Biomedical Engineering, vol. 72, no. 1, pp. 123-136, Jan. 2025

on

January 16, 2025

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation

By authors:

Wickstrom, Kristoffer; Höhne, Marina; Hedström, Anna.

Published in:

European Conference on Computer Vision (ECCV) 2024 Workshop: Explainable Computer Vision: Where are We and Where are We Going?, 2024.

on

December 7, 2024

Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison

By authors:

Santiago Cepeda, Roberto Romero, Lidia Luque, Daniel García-Pérez, Guillermo Blasco, Luigi Tommaso Luppino, Samuel Kuttner, Olga Esteban-Sinovas, Ignacio Arrese, Ole Solheim, Live Eikenes, Anna Karlberg, Ángel Pérez-Núñez, Olivier Zanier, Carlo Serra, Victor E Staartjes, Andrea Bianconi, Luca Francesco Rossi, Diego Garbossa, Trinidad Escudero, Roberto Hornero, Rosario Sarabia

Published in:

Neuro-Oncology Advances, Volume 6, Issue 1, January-December 2024, vdae199

on

November 16, 2024

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

Other publications

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