Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
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.
By authors:
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne
Published in:
Transactions on Machine Learning Research (06/2023)
on
June 1, 2023
By authors:
Kenfack, Patrik; Ramírez Rivera, Adín; Khan, Adil; Mazzara, Manuel
Published in:
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, NC, USA, 2023, pp. 58-67
on
June 1, 2023
By authors:
Stefan Kolek, Robert Windesheim, Hector Andrade-Loarca, Gitta Kutyniok, Ron Levie
Published in:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 2023 pp. 18600-18609.
on
June 1, 2023
By authors:
Wickstrøm, Kristoffer; Østmo, Eirik Agnalt; Radiya, Keyur; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert.
Published in:
Computerized Medical Imaging and Graphics 2023 ;Volum 107. s.1-12
on
May 9, 2023
By authors:
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
Published in:
International Conference on Learning Representations ICLR 2023
on
May 1, 2023
By authors:
Silva, Thalles; Pedrini, Helio; Ramírez Rivera, Adín.
Published in:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE (Institute of Electrical and Electronics Engineers) 2023
on
May 1, 2023
By authors:
Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, and Oliver T. Unke
Published in:
Physical Chemistry Chemical Physics 2023
on
April 27, 2023
By authors:
Cepeda, Santiago and Luppino, Luigi Tommaso and Pérez-Núñez, Angel and Solheim, Ole and García-García, Sergio and Velasco-Casares, María and Karlberg, Anna and Eikenes, Live and Sarabia, Rosario and Arrese, Ignacio and Zamora, Tomás and Gonzalez, Pedro and Jiménez-Roldán, Luis and Kuttner, Samuel
Published in:
Cancers. 2023; 15(6):1894.
on
March 22, 2023
By authors:
Wickstrøm, Kristoffer; Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Boubekki, Ahcene; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert
Published in:
International Journal of Computer Vision 2023 ;Volum 131.(6) s.1584-1610
on
March 11, 2023
By authors:
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer.
Published in:
Computer Vision and Pattern Recognition 2023 s.23976-23985
on
March 6, 2023