Kim Steenstrup Pedersen
Sektionsleder, Professor
Research
Universitetsparken 15
2100 København Ø
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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.- 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
- Published
Predicting articulated human motion from spatial processes
Hauberg, S. & Steenstrup Pedersen, Kim, 2011, In: International Journal of Computer Vision. 94, 3, p. 317-334 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Three dimensional monocular human motion analysis in end-effector space
Hauberg, S., Lapuyade, J., Engell-Nørregård, M. P., Erleben, Kenny & Steenstrup Pedersen, Kim, 2009, Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Cremers, D., Boykov, Y., Blake, A. & Schmidt, F. R. (eds.). Springer, p. 235-248 14 p. (Lecture notes in computer science, Vol. 5681).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Stick it! Articulated tracking using spatial rigid object priors
Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. Kimmel, R., Klette, R. & Sugimoto, A. (eds.). Springer, Vol. III. p. 758-769 12 p. (Lecture notes in computer science, Vol. 6494).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1448-1476Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 2569-2578Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
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. 82-92Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- 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
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. 181-184Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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. 83-103Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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. 31Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research › peer-review
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
- 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
- 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
- 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
ID: 545595
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4509
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Shape index descriptors applied to texture-based galaxy analysis
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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4109
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Jet-based local image descriptors
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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1805
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HUMIM software for articulated tracking
Research output: Book/Report › Report › Research
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