Kim Steenstrup Pedersen
Sektionsleder, Professor
Forskning
Universitetsparken 15
2100 København Ø
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København ÃÂ
Kommentarer til publikationsliste
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
- Udgivet
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, 7 nov. 2023, 21 s.Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
- Udgivet
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, okt. 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops: Computer Vision in Plant Phenotyping and Agriculture. s. 485-494 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface
Hu, X., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2023, I: International Journal of Computer Vision. 131, 6, s. 1448-1476 29 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Accepteret/In press
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, (Accepteret/In press) Proceedings of the Asian Conference on Computer Vision (ACCV. Springer, s. 2967-2983Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer Science and Business Media Deutschland GmbH, s. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2022
- Udgivet
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, I: Journal of Near Infrared Spectroscopy. 30, 3, s. 107–121Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2021
- Udgivet
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, s. 2569-2578Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 1372-1380Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2020
- Udgivet
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. (red.). Springer, s. 1-15 (Advances in Intelligent Systems and Computing, Bind 943).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2019
- Udgivet
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, Silas Nyboe, 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. (red.). Springer, s. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 545595
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Shape index descriptors applied to texture-based galaxy analysis
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
4075
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Jet-based local image descriptors
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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1798
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HUMIM software for articulated tracking
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
Udgivet