Kim Steenstrup Pedersen
Sektionsleder, Professor
Research
Universitetsparken 15
2100 København Ø
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København ÃÂ
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.- 2023
- 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
- Published
Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios
Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2023, arxiv.org. 21 p.Research output: Book/Report › Report
- Published
Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics
Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE, p. 485-494Research 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 › 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
- 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
- 2022
- Published
Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks
Dreier, E. S., Sørensen, Klavs Martin, Lund-Hansen, T., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2022, In: Journal of Near Infrared Spectroscopy. 30, 3, p. 107–121Research output: Contribution to journal › Journal article › peer-review
- 2021
- 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
Predicting Protein Content in Grain Using Hyperspectral Deep Learning
Engstrøm, Ole-Christian Galbo, Dreier, E. S. & Steenstrup Pedersen, Kim, 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE, p. 1372-1380Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- 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
ID: 545595
Most downloads
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4476
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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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4099
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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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1803
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HUMIM software for articulated tracking
Research output: Book/Report › Report
Published