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J.C. van Gemert

Dr.

 https://orcid.org/0000-0002-6913-0482
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  • 2023

    Video BagNet: Short temporal receptive fields increase robustness in long-term action recognition

    Strafforello, O., Liu, X., Schutte, K. & van Gemert, J., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Ceballos, C. (ed.). Piscataway: IEEE, p. 159-166 8 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    1 Citation (Scopus)

  • What Affects Learned Equivariance in Deep Image Recognition Models?

    Bruintjes, R-J., Motyka, T. & Gemert, J. V., 2023, Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). O’Conner, L. (ed.). Piscataway: IEEE, p. 4839-4847 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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  • 2024

    Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI

    Li, X., Zhang, Y., Zhao, Y., van Gemert, J. & Tao, Q., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer, p. 77-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access