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

On Measures of Uncertainty in Classification

By authors:

Chlaily, Saloua; Ratha, Debanshu; Lozou, Pigi; Marinoni, Andrea

Published in:

IEEE Transactions on Signal Processing 2023 ;Volum 71. s.3710-3725

on

October 12, 2023

SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering

By authors:

Bruno Souza; Marius Aasan; Helio Pedrini; Adıń Ramıŕez Rivera

Published in:

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, France, 2023, pp. 4642-4647

on

October 2, 2023

Selective Imputation for Multivariate Time Series Datasets with Missing Values.

By authors:

Blazquez-Garcia, Ane; Wickstrøm, Kristoffer Knutsen; Yu, Shujian; Mikalsen, Karl Øyvind; Boubekki, Ahcene; Conde, Angel; Mori, Usue; Jenssen, Robert; Lozano, Jose A.

Published in:

Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 9490-9501

on

September 1, 2023

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

By authors:

Tomasetti, Luca; Hansen, Stine; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Kampffmeyer, Michael Christian

Published in:

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 2023, pp

on

September 1, 2023

OVERVIEW OF THE URBAN WIRELESS LOCALIZATION COMPETITION

By authors:

C¸ agkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutynio, Giuseppe Caire

Published in:

2023 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 17–20, 2023, ROME, ITALY

on

September 1, 2023

Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes

By authors:

Domben, Erik Seip; Sharma, Puneet; Mann, Ingrid

Published in:

Remote Sensing 2023 ;Volum 15.(17) Suppl. 4291. s.1-23

on

August 31, 2023

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

By authors:

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

Published in:

IEEE International Conference on Computer Vision (ICCV) 2023

on

August 20, 2023

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos,

By authors:

Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang

Published in:

ICCV 2023

on

August 20, 2023

ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement

By authors:

Hansen, Stine; Gautam, Srishti; Salahuddin, Suaiba Amina; Kampffmeyer, Michael Christian; Jenssen, Robert

Published in:

Medical Image Analysis 2023 ;Volum 89

on

August 2, 2023

Reverberation Suppression in Echocardiography Using a Causal Convolutional Neural Network

By authors:

Jahren, Tollef Struksnes; Sørnes, Anders Rasmus; Dénarié, Bastien Emmanuel; Steen, Erik; Bjåstad, Tore Grüner; Solberg, Anne H Schistad

Published in:

IEEE Access, vol. 11, pp. 67922-67937, 2023

on

July 4, 2023

Other publications

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