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. 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

  2. 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

  3. 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

  4. 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 › Research

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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 › Research

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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 › Research › peer-review

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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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