Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

ORCID: 0000-0003-3713-0960

Kommentarer til publikationsliste

Best paper award at the 3DPVT 2010 conference for the paper “On Recall Rate of Interest Point Detectors”. Henrik Aanæs, Anders Dahl and Kim Steenstrup Pedersen.
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  1. 2023
  2. Udgivet

    Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios

    Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 7 nov. 2023, 21 s.

    Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning

  3. Udgivet

    Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics

    Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, okt. 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops: Computer Vision in Plant Phenotyping and Agriculture. s. 485-494 10 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface

    Hu, X., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2023, I: International Journal of Computer Vision. 131, 6, s. 1448-1476 29 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. Accepteret/In press

    Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research

    Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, (Accepteret/In press) Proceedings of the Asian Conference on Computer Vision (ACCV. Springer, s. 2967-2983

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research

    Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Wang, L., Gall, J., Chin, T-J., Sato, I. & Chellappa, R. (red.). Springer Science and Business Media Deutschland GmbH, s. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. 2022
  8. Udgivet

    Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

    Dreier, E. S., Sørensen, Klavs Martin, Lund-Hansen, T., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2022, I: Journal of Near Infrared Spectroscopy. 30, 3, s. 107–121

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. 2021
  10. Udgivet

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, s. 2569-2578

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  11. Udgivet

    Predicting Protein Content in Grain Using Hyperspectral Deep Learning

    Engstrøm, Ole-Christian Galbo, Dreier, E. S. & Steenstrup Pedersen, Kim, 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE, s. 1372-1380

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. 2020
  13. Udgivet

    Deep Learning for Detection of Railway Signs and Signals

    Karagiannis, G., Olsen, Søren Ingvor & Steenstrup Pedersen, Kim, 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference, CVC 2019, Las Vegas, Nevada, USA, 25-26 April 2019. Arai, K. & Kapoor, S. (red.). Springer, s. 1-15 (Advances in Intelligent Systems and Computing, Bind 943).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  14. 2019
  15. Udgivet

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, Silas Nyboe, Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 jan. 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (red.). Springer, s. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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