Kim Steenstrup Pedersen

Search results

• 2025

  Integrating Deep Learning Derived Morphological Traits and Molecular Data for Total-Evidence Phylogenetics: Lessons from Digitized Collections

  Hunt, R. E., Reyes Hernández, J. L., Shaw, J. J., Solodovnikov, A. & Steenstrup Pedersen, K., 2025, In: Systematic Biology.

  Research output: Contribution to journal › Journal article › Research › peer-review
• 2024

  IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX

  Engstrøm, O-C. G., Dreier, E. S., Jespersen, B. P. M. & Steenstrup Pedersen, K., 2024, In: The Journal of Open Source Software. 9, 99, 6 p., 6533.

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

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• 2023

  Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios

  Engstrøm, O-C. G., Dreier, E. S., Jespersen, B. P. M. & Steenstrup Pedersen, K., 2023, arxiv.org. 21 p.

  Research output: Book/Report › Report

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

  Tashk, A., Engelsen, S. B., Khakimov, B., Steenstrup Pedersen, K., Sørensen, K. M. & kwr854, K., 2023.

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

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• Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics

  Engstrøm, O-C. G., Dreier, E. S., Jespersen, B. P. M. & Steenstrup Pedersen, K., 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

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

  Hu, X., Lauze, F. & Pedersen, K. S., 2023, In: International Journal of Computer Vision. 131, 6, p. 1448-1476

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

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  2 Citations (Scopus)

  4 Downloads (Pure)

• Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research

  Hunt, R. E. & Steenstrup Pedersen, K., 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

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• Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research

  Hunt, R. & Pedersen, K. S., 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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  1 Citation (Scopus)

  12 Downloads (Pure)
• 2022

  Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

  Dreier, E. S., Sorensen, K. M., Lund-Hansen, T., Jespersen, B. M. & Pedersen, K. S., 2022, In: Journal of Near Infrared Spectroscopy. 30, 3, p. 107–121

  Research output: Contribution to journal › Journal article › Research › peer-review
  6 Citations (Scopus)
• 2021

  Absolute and Relative Pose Estimation in Refractive Multi View

  Hu, X., Lauze, F., Pedersen, K. S. & 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

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  5 Citations (Scopus)

  38 Downloads (Pure)

• Predicting Protein Content in Grain Using Hyperspectral Deep Learning

  Galbo Engstrøm1, O-C., Dreier, E. S. & Steenstrup Pedersen, K., 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

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• 2020

  Deep Learning for Detection of Railway Signs and Signals

  Karagiannis, G., Olsen, S. I. & Pedersen, K. S., 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
  10 Citations (Scopus)
• 2019

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

  Kouw, W. M., Ørting, S. N., Petersen, J., Pedersen, K. S. & de Bruijne, M., 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
  9 Citations (Scopus)

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

  Rasmussen, J., Nielsen, J., Streibig, J. C., Jensen, J. E., Pedersen, K. S. & Olsen, S. I., 2019, In: Precision Agriculture. 20, 5, p. 983–999

  Research output: Contribution to journal › Journal article › Research › peer-review
  53 Citations (Scopus)
• 2018

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

  Rasmussen, J., Nielsen, J., Olsen, S. I., Pedersen, K. S., Jensen, J. E. & Horfarter, R., 2018, 18^th 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

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• 2017

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

  Kremer, J., Stensbo-Smidt, K., Gieseke, F. C., Pedersen, K. S. & Igel, C., 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.

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

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  75 Citations (Scopus)

  310 Downloads (Pure)

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

  Stensbo-Smidt, K., Gieseke, F. C., Igel, C., Zirm, A. W. & Pedersen, K. S., 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
  16 Citations (Scopus)
• 2016

  Droner til monitering af flerårigt ukrudt i korn

  Rasmussen, J., Nielsen, J., Streibig, J. C., Olsen, S. I., Pedersen, K. S. & Jensen, J. E., 2016, Miljøstyrelsen. 68 p. (Bekæmpelsesmiddelforskning; No. 165).

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

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

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

  Research output: Contribution to journal › Editorial › Research
• 2015

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

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

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

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

  Kremer, J., Gieseke, F., Pedersen, K. S. & Igel, C., 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  14 Citations (Scopus)

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

  Egilsson, J., Pedersen, K. S., Olsen, S. I., Nielsen, J., Ntakos, G. & Rasmussen, J., 2015. 1 p.

  Research output: Contribution to conference › Poster › Research

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• 2014

  Active learning with support vector machines

  Kremer, J., Pedersen, K. S. & Igel, C., 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
  103 Citations (Scopus)

• 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., Pedersen, K. S., Larsen, L. M., Kessing, P. V., Madsen Almdal, T., Ploug, T. & Grønbæk, D., 2014, Teknologirådet. 103 p.

  Research output: Book/Report › Report

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• Support vector machines for active learning

  Kremer, J., Pedersen, K. S. & Igel, C., 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
• 2013

  Learning models of activities involving interacting objects

  Manfredotti, C., Pedersen, K. S., 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

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  1 Citation (Scopus)

  258 Downloads (Pure)

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

  Stensbo-Smidt, K., Igel, C., Zirm, A. W. & Pedersen, K. S., 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
  10 Citations (Scopus)

• Shape index descriptors applied to texture-based galaxy analysis

  Pedersen, K. S., Stensbo-Smidt, K., Zirm, A. W. & Igel, C., 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

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  14 Citations (Scopus)

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• Unscented Kalman filtering on Riemannian manifolds

  Hauberg, S., Lauze, F. B. & Pedersen, K. S., 2013, In: Journal of Mathematical Imaging and Vision. 46, 1, p. 103-120 18 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  73 Citations (Scopus)
• 2012

  HUMIM software for articulated tracking

  Hauberg, S. & Pedersen, K. S., 2012, Datalogisk Institut, Københavns Universitet: Faculty of Science, University of Copenhagen. 7 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport).

  Research output: Book/Report › Report › Research

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• Interesting interest points: a comparative study of interest point performance on a unique data set

  Aanæs, H., Dahl, A. L. & Pedersen, K. S., 2012, In: International Journal of Computer Vision. 97, 1, p. 18-35 18 p.

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

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  159 Citations (Scopus)

• Jet-based local image descriptors

  Boesen Lindbo Larsen, A., Darkner, S., Dahl, A. L. & Pedersen, K. S., 2012, Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y. & Schmid, C. (eds.). Springer, p. 638-650 13 p. (Lecture notes in computer science, Vol. 7574).

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

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  13 Citations (Scopus)

  4227 Downloads (Pure)

• Natural metrics and least-committed priors for articulated tracking

  Hauberg, S., Sommer, S. H. & Pedersen, K. S., 2012, In: Image and Vision Computing. 30, 6-7, p. 453-461 9 p.

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

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  14 Citations (Scopus)

• Spatial measures between human poses for classification and understanding

  Hauberg, S. & Pedersen, K. S., 2012, Articulated Motion and Deformable Objects: 7th International Conference, AMDO 2012, Port d’Andratx, Mallorca, Spain, July 11-13, 2012. Proceedings. Perales, F. J., Fisher, R. B. & Moeslund, T. B. (eds.). Springer, p. 26-36 11 p. (Lecture notes in computer science, Vol. 7378).

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

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  4 Citations (Scopus)

  1399 Downloads (Pure)
• 2011

  An empirical study on the performance of spectral manifold learning techniques

  Mysling, P., Hauberg, S. & Pedersen, K. S., 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
  3 Citations (Scopus)

• A physically natural metric for human motion and the associated Brownian motion model

  Hauberg, S. & Pedersen, K. S., 2011.

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

• Data-driven importance distributions for articulated tracking

  Hauberg, S. & Pedersen, K. S., 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
  1 Citation (Scopus)

• Finding the best feature detector-descriptor combination

  Dahl, A. L., Aanæs, H. & Pedersen, K. S., 2011, 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT). IEEE, p. 318-325 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  40 Citations (Scopus)

• Predicting articulated human motion from spatial processes

  Hauberg, S. & Pedersen, K. S., 2011, In: International Journal of Computer Vision. 94, 3, p. 317-334 18 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  14 Citations (Scopus)

• Stick it! Articulated tracking using spatial rigid object priors

  Hauberg, S. & Pedersen, K. S., 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
  9 Citations (Scopus)

• Unscented Kalman filtering for articulated human tracking

  Boesen Lindbo Larsen, A., Hauberg, S. & Pedersen, K. S., 2011, Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings. Heyden, A. & Kahl, F. (eds.). Springer, p. 228-237 10 p. (Lecture notes in computer science, Vol. 6688).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  16 Citations (Scopus)
• 2010

  Dense marker-less three dimensional motion capture

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

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

• Gaussian-like spatial priors for articulated tracking

  Hauberg, S., Sommer, S. H. & Pedersen, K. S., 2010, Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Daniilidis, K., Maragos, P. & Paragios, N. (eds.). Springer, Vol. Part I. p. 425-437 13 p. (Lecture notes in computer science; No. 6311).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  24 Citations (Scopus)

• On recall rate of interest point detectors

  Aanæs, H., Lindbjerg Dahl, A. & Pedersen, K. S., 2010, Electronic Proceedings of 3DPVT'10: The Fifth International Symposium on 3D Data Processing, Visualization and Transmission. p. 1-8 8 p.

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

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• 2009

  A SVD Based Image Complexity Measure

  Gustafsson, D. K. J., Pedersen, K. S. & Nielsen, M., 2009, VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Vol. 2. p. 34-39 6 p.

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

  1 Citation (Scopus)

• Interactive inverse kinematics for human motion estimation

  Engell-Nørregård, M. P., Hauberg, S., Lapuyade, J., Erleben, K. & Pedersen, K. S., 2009, Vriphys 09: 6th Workshop on Virtual reality Interactions and Physical Simulations. Prautzsch, H., Schmitt, A., Bender, J. & Teschner, M. (eds.). p. 77-84

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  1 Citation (Scopus)

• On the Rate of Structural Change in Scale Spaces

  Gustafsson, D. K. J., Pedersen, K. S., Lauze, F. B. & Nielsen, M., 2009, Proceedings of Scale Space and Variational Methods in Computer Vision (SSVM) 09. Springer, Vol. 5567. p. 832-843 11 p. (Lecture notes in computer science, Vol. 5567/209).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  1 Citation (Scopus)

• Three dimensional monocular human motion analysis in end-effector space

  Hauberg, S., Lapuyade, J., Engell-Nørregård, M. P., Erleben, K. & Pedersen, K. S., 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

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  7 Citations (Scopus)

  214 Downloads (Pure)
• 2008

  Field of Particle Filters Image Inpainting

  Cuzol, A., Pedersen, K. S. & Nielsen, M., 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 147-156 10 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  3 Citations (Scopus)

• Multi-Scale Natural Images: A database and some statistics

  Gustafsson, D. K. J., Pedersen, K. S. & Nielsen, M., 2008, Proceedings of 16'th Danish Conference on Pattern Recognition and Image Analysis (DSAGM) 2008. Olsen, S. I. (ed.). Department of Computer Science, University of Copenhagen, 2 p. (DIKU Technical Report; No. 08-10).

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

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  931 Downloads (Pure)