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

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

Cross-modality sub-image retrieval using contrastive multimodal image representations

By authors:

Breznik, Eva; Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša

Published in:

Scientific Reports

on

August 13, 2024

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

By authors:

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

Published in:

Lecture Notes in Computer Science (LNCS)

on

August 1, 2024

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks

By authors:

Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov

Published in:

Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36048-36071, 2024.

on

July 29, 2024

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features

By authors:

Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera

Published in:

Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45451-45467, 2024

on

July 29, 2024

Incorporating probabilistic domain knowledge into deep multiple instance learning

By authors:

al Hajj, Ghadi; Hubin, Aliaksandr; Kanduri, Chakravarthi; Pavlovic, Milena; Rand, Knut Dagestad; Widrich, Michael; Solberg, Anne H Schistad; Greiff, Victor; Pensar, Johan; Klambauer, Günter & Sandve, Geir Kjetil Ferkingstad

Published in:

Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17279-17297

on

July 21, 2024

The 3-billion fossil question: How to automate classification of microfossils

By authors:

Iver Martinsen, David Wade, Benjamin Ricaud, Fred Godtliebsen

Published in:

Artificial Intelligence in Geosciences, Volume 5, 2024

on

June 8, 2024

Other publications

annual reports