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

    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

  2. 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

  3. 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

  4. 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

  5. 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 › peer-review

  6. 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

  7. 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

  8. Published

    Toward a Full probability Model of Edges in Natural Images

    Steenstrup Pedersen, Kim & Lee, A. B., 2002, Proceedings of the 7th European Conference on Computer Vision. Springer, p. 328-342

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

  9. Published

    Normalisering af billedafledte i skalarum ved hjælp af den fraktale dimension

    Steenstrup Pedersen, Kim, 1999, Datalogisk Institut, Københavns Universitet. 56 p. (DIKU-rapport 99/2).

    Research output: Book/Report › Report

  10. Published

    A scale invariant covariance structure on jet space

    Steenstrup Pedersen, Kim, Loog, M. & Markussen, Bo, 2005, Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, p. 12-23 (Lecture notes in computer science, Vol. 3753/2005).

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

  11. On a Kernels, Lévy Processes, and Natural Image Statistics

    Steenstrup Pedersen, Kim, Duits, R. & Nielsen, M., 2005, Scale Space and PDE Methods in Computer Vision. <Forlag uden navn>, p. 468-479 (Lecture notes in computer science, Vol. 3459/2005).

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

  12. 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

  13. Published

    Shape index descriptors applied to texture-based galaxy analysis

    Steenstrup Pedersen, Kim, Stensbo-Smidt, K., Zirm, A. W. & Igel, Christian, 2013, 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 2440-2447 8 p.

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

  14. Published

    Generic maximum likely scale selection

    Steenstrup Pedersen, Kim, Loog, M. & Markussen, Bo, 2007, Scale Space and Variational Methods in Computer Vision: First International conference , SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (eds.). Springer, p. 362-373 12 p. (Lecture notes in computer science; No. 4485).

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

  15. Published

    Properties of Brownian Image Models in Scale-Space

    Steenstrup Pedersen, Kim, 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. <Forlag uden navn>, p. 281-296 (Lecture notes in computer science, Vol. 2695/2003).

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

  16. Published

    Turbulence in Optical Flow Fields

    Steenstrup Pedersen, Kim, 2001, Datalogisk Institut, Københavns Universitet. 110 p. ( DIKU-rapport 00/03).

    Research output: Book/Report › Report

  17. 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

  18. Published

    Statistics of Natural Image Geometry

    Steenstrup Pedersen, Kim, 2003, Department of Computer Science, University of Copenhagen. 167 p.

    Research output: Book/Report › Ph.D. thesis

  19. Published

    A curious robot: An explorative-exploitive inference algorithm

    Steenstrup Pedersen, Kim & Johansen, P., 2007, RoboMat 07: Coimbra, Portugal, 17-19 September, 2007. Araujo, H. & Ribeiro, M. I. (eds.). CIM (Centro Internacional de Matematica), p. 51-57 6 p.

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

  20. 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

  21. Published

    Toward a Full Probability Model of Edges in Natural Images, APPTS Report #02-1

    Steenstrup Pedersen, Kim & Lee, A. B., 2002, DAM, Brown University, USA. 16 p.

    Research output: Book/Report › Report

  22. Published

    The Hausdorff Dimension and Scale-Space Normalization of 'Natural Images'

    Steenstrup Pedersen, Kim & Nielsen, Mads, 1999.

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

  23. Published

    Salient Point and Scale Detection by Minimum Likelihood

    Steenstrup Pedersen, Kim, Loog, M. & van Dorst, P., 2007, Gaussian processes in practice. Microtome Publishing, p. 59-72 14 p. (JMLR: Workshop and Conference Proceedings; No. 1).

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

  24. Published

    The Hausdorff Dimension and Scale-Space Normalisation of Natural Images

    Steenstrup Pedersen, Kim & Nielsen, M., 2000, In: Journal of Visual Communication and Image Representation. 11, 2, p. 266-277

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

  25. Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model

    Steenstrup Pedersen, Kim, van Dorst, P. & Loog, M., 2006

    Research output: Other contribution › Research

  26. 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

  27. Published

    The Hausdorff Dimension and Scale-Space Normalisation of Natural Images

    Steenstrup Pedersen, Kim & Nielsen, M., 1999, Scale-space Theories in Computer Vision. Berlin Heidelberg: Springer Science+Business Media, Vol. 1682. p. 271-282

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

  28. 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 › peer-review

  29. Published

    Tribute Workshop for Peter Johansen

    Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).

    Research output: Book/Report › Anthology

  30. Published

    Special Issue on Tribute Workshop for Peter Johansen

    Nielsen, Mads, de Bruijne, Marleen, Jørgensen, Camilla Holm, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Sporring, Jon, 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 119-120

    Research output: Contribution to journal › Editorial › Research

  31. Published

    An empirical study on the performance of spectral manifold learning techniques

    Mysling, P., Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Artificial Neural Networks and Machine Learning – ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). Springer, p. 347-354 8 p. (Lecture notes in computer science, Vol. 6791).

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

  32. Published

    Second order structure of scale-space measurements

    Markussen, Bo, Steenstrup Pedersen, Kim & Loog, M., 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 207-220 14 p.

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

  33. 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

  34. Published

    Maximum likely scale estimation

    Loog, M., Steenstrup Pedersen, Kim & Markussen, Bo, 2005, Deep Structure, Singularities, and Computer Vision. Springer, p. 146-156 (Lecture notes in computer science, Vol. 3753/2005).

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

  35. Jet based feature classification

    Lillholm, Martin & Steenstrup Pedersen, Kim, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004: ICPR 2004. IEEE, p. 787-790 4 p.

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

  36. Published

    The Nonlinear Statistics of High-contrast Patches in Natural Images, APPTS Report #01-3

    Lee, A. B., Steenstrup Pedersen, Kim & Mumford, D., 2001, DAM, Brown University, USA. 36 p.

    Research output: Book/Report › Report

  37. Published

    The Complex Statistics of High-contrast Patches in Natural Images

    Lee, A. B., Steenstrup Pedersen, Kim & Mumford, D., 2001, WWW Proceedings of Second International IEEE Workshop on Statistical and Computational Theories of Vision. p. 31

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

  38. Published

    The Nonlinear Statistics of High-contrast Patches in Natural Images

    Lee, A., Steenstrup Pedersen, Kim & Mumford, D., 2003, In: International Journal of Computer Vision. 54, 1-3, p. 83-103

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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. Published

    Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007

    Kjær Ersbøll, B. (ed.) & Steenstrup Pedersen, Kim (ed.), 2007, Berlin / Heidelberg: Springer. 1005 p. (Lecture notes in computer science; No. 4522).

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

  45. Published

    Preface

    Kjær Ersbøll, B. & Steenstrup Pedersen, Kim, 2007, Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007. Kjær Ersbøll, B. & Steenstrup Pedersen, K. (eds.). Berlin / Heidelberg: Springer, 1 p. (Lecture notes in computer science; No. 4522).

    Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research

  46. 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

  47. 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

  48. Generalized Context Learning

    Johansen, P. & Steenstrup Pedersen, Kim, 2003, Proceedings fra den 12. Danske Konference om Mønstergenkendelse og Billedbehandling. 03/06 ed. Department of Computer Science, University of Copenhagen, p. 82-92

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

  49. 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

  50. 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

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