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.

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  1. 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

  2. Brownian Images: a generic background model

    Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.

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

  3. 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

  4. Published

    Computing Optic Flow by Scale-Space Integration of Normal Flow

    Steenstrup Pedersen, Kim & Nielsen, M., 2001, Scale-Space and Morphology in Computer Vision:Proceeding of Scale-space 2001: , Lecture Notes in Computer Science, Vol. 2106. Springer, Vol. 2106. p. 14-25

    Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research

  5. Published

    Computing Optic Flow by Scale-Space Integration of Normal Flow

    Steenstrup Pedersen, Kim & Nielsen, Mads, 2001, Proceedings of DSAGM'01, Den 10. Danske Konference om Mønstergenkendelse og Billedanalyse. p. 124-135 (DIKU teknisk rapport; No. 01-04).

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

  6. Published

    Data-driven importance distributions for articulated tracking

    Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Boykov, Y., Kahl, F., Lempitsky, V. & Schmidt, F. R. (eds.). Springer, p. 287-299 13 p. (Lecture notes in computer science, Vol. 6819).

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

  7. 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

  8. Published

    Dense marker-less three dimensional motion capture

    Hauberg, S., Jensen, B. R., Engell-Nørregård, M. P., Erleben, Kenny & Steenstrup Pedersen, Kim, 2010. 4 p.

    Research output: Contribution to conference › Conference abstract for conference › Research

  9. Detecting Interlaced or Progressive Source of Video

    Keller, S. H., Steenstrup Pedersen, Kim & Lauze, F., 2005, IEEE 7th Workshop on Multimedia Signal Processing. IEEE Signal Processing Society, p. 181-184

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

  10. 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

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