Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

ORCID: 0000-0003-3713-0960

Introductory remarks on publicationslist

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.

Publication year:
All
1 - 25 out of 81Page size: 25
  1. 2023
  2. Published

    A Novel PLS2-Based Algorithm for Imputing Missing Values in Foodomics/Metabolomics Studies with multiple response variables

    Tashk, Ashkan, Engelsen, Søren Balling, Khakimov, Bekzod, Steenstrup Pedersen, Kim, Sørensen, Klavs Martin & Engstrøm, Ole-Christian Galbo, 2023.

    Research output: Contribution to conference › Poster › Research › peer-review

  3. Published

    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, 2023, arxiv.org. 21 p.

    Research output: Book/Report › Report › Research

  4. Published

    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, 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE, p. 485-494

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

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

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    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, Macao, China, December 4–8, 2022, Proceedings, Part I. Springer, p. 2967-2983 (Lecture Notes in Computer Science, Vol. 13841).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    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. (eds.). Springer, p. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13845 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. 2022
  9. Published

    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, In: Journal of Near Infrared Spectroscopy. 30, 3, p. 107–121

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. 2021
  11. Published

    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, p. 2569-2578

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    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, p. 1372-1380

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. 2020
  14. Published

    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. (eds.). Springer, p. 1-15 (Advances in Intelligent Systems and Computing, Vol. 943).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  15. 2019
  16. Published

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

    Kouw, W. M., Ørting, S. N., 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. (eds.). Springer, p. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  17. Published

    Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs

    Rasmussen, Jesper, Nielsen, J., Streibig, Jens Carl, Jensen, J. E., Steenstrup Pedersen, Kim & Olsen, Søren Ingvor, 2019, In: Precision Agriculture. 20, 5, p. 983–999

    Research output: Contribution to journal › Journal article › Research › peer-review

  18. 2018
  19. Published

    From image acquisition with unmanned aerial vehicles (UAV) to patch spraying in farmer's fields

    Rasmussen, Jesper, Nielsen, J., Olsen, Søren Ingvor, Steenstrup Pedersen, Kim, Jensen, J. E. & Horfarter, R., 2018, 18th European Weed Research Society Symposium: book of abstracts. European Weed Research Society, p. 75 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  20. 2017
  21. Published

    Big universe, big data: machine learning and image analysis for astronomy

    Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  22. Published

    Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

    Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  23. 2016
  24. Published

    Droner til monitering af flerårigt ukrudt i korn

    Rasmussen, Jesper, Nielsen, J., Streibig, Jens Carl, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Jensen, J. E., 2016, Miljøstyrelsen. 68 p. (Bekæmpelsesmiddelforskning; No. 165).

    Research output: Book/Report › Report › Research › peer-review

  25. Published

    Special section on 19th Scandinavian conference on image analysis (SCIA 2015)

    Steenstrup Pedersen, Kim & R. Paulsen, R., 2016, In: Pattern Recognition Letters. 80, p. 238 1 p.

    Research output: Contribution to journal › Editorial › Research

  26. 2015
  27. Published

    Image analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

    Paulsen, R. R. (ed.) & Steenstrup Pedersen, Kim (ed.), 2015, Springer. (Lecture notes in computer science, Vol. 9127).

    Research output: Book/Report › Book › Research › peer-review

  28. Published

    Nearest neighbor density ratio estimation for large-scale applications in astronomy

    Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  29. Published

    Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS)

    Egilsson, J., Steenstrup Pedersen, Kim, Olsen, Søren Ingvor, Nielsen, J., Ntakos, G. & Rasmussen, Jesper, 2015. 1 p.

    Research output: Contribution to conference › Poster › Research

  30. 2014
  31. Published

    Active learning with support vector machines

    Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

    Research output: Contribution to journal › Review › Research › peer-review

  32. Published

    Civile droner i Danmark: potentialer, udfordringer og anbefalinger

    Smith Lygum, A. K., Skjødt Nielsen, J., Bang Bådum, N., La Cour-Harbo, A., Paulin Hansen, J., Steenstrup Pedersen, Kim, Larsen, L. M., Kessing, P. V., Madsen Almdal, T., Ploug, T. & Grønbæk, D., 2014, Teknologirådet. 103 p.

    Research output: Book/Report › Report › Commissioned

  33. Published

    Support vector machines for active learning

    Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . p. 38 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  34. 2013
  35. Published

    Learning models of activities involving interacting objects

    Manfredotti, C., Steenstrup Pedersen, Kim, Hamilton, H. J. & Zilles, S., 2013, Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. Tucker, A., Höppner, F., Siebes, A. & Swift, S. (eds.). Springer, p. 285-297 13 p. (Lecture notes in computer science, Vol. 8207).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  36. Published

    Nearest neighbour regression outperforms model-based prediction of specific star formation rate

    Stensbo-Smidt, K., Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2013, 2013 IEEE International Conference on Big Data. IEEE, p. 141-144 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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