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Kim Steenstrup Pedersen
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2020 – today
- 2024
- [j16]Ole-Christian Galbo Engstrøm
, Erik Schou Dreier
IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX. J. Open Source Softw. 9(99): 6533 (2024) - 2023
- [j15]Xiao Hu
Refractive Pose Refinement. Int. J. Comput. Vis. 131(6): 1448-1476 (2023) - [c33]Ole-Christian Galbo Engstrøm
Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics. ICCV (Workshops) 2023: 485-494 - [i3]Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen:
Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios. CoRR abs/2311.04042 (2023) - 2022
- [c32]Roberta Hunt
Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. ACCV (5) 2022: 425-441 - 2021
- [c31]Ole-Christian Galbo Engstrøm
Predicting Protein Content in Grain Using Hyperspectral Deep Learning. ICCVW 2021: 1372-1380 - [c30]Xiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou:
Absolute and Relative Pose Estimation in Refractive Multi View. ICCVW 2021: 2569-2578
2010 – 2019
- 2019
- [c29]Georgios Karagiannis, Søren I. Olsen
Deep Learning for Detection of Railway Signs and Signals. CVC (1) 2019: 1-15 - [c28]Wouter M. Kouw
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI 2019: 360-371 - [i2]Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR abs/1903.04191 (2019) - 2017
- [j14]Jan Kremer
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. IEEE Intell. Syst. 32(2): 16-22 (2017) - [i1]Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. CoRR abs/1704.04650 (2017) - 2016
- [j13]Kim Steenstrup Pedersen, Rasmus R. Paulsen
Special section on 19th Scandinavian conference on image analysis (SCIA 2015). Pattern Recognit. Lett. 80: 238 (2016) - 2015
- [j12]Jan Kremer
Nearest neighbor density ratio estimation for large-scale applications in astronomy. Astron. Comput. 12: 67-72 (2015) - [e2]Rasmus R. Paulsen
Image Analysis - 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings. Lecture Notes in Computer Science 9127, Springer 2015, ISBN 978-3-319-19664-0 [contents] - 2014
- [j11]Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen:
Erratum to: Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. 108(3): 259 (2014) - [j10]Jan Kremer
Active learning with support vector machines. WIREs Data Mining Knowl. Discov. 4(4): 313-326 (2014) - 2013
- [j9]Søren Hauberg, François Lauze
Unscented Kalman Filtering on Riemannian Manifolds. J. Math. Imaging Vis. 46(1): 103-120 (2013) - [c27]Kristoffer Stensbo-Smidt
Nearest neighbour regression outperforms model-based prediction of specific star formation rate. IEEE BigData 2013: 141-144 - [c26]Kim Steenstrup Pedersen
Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. ICCV 2013: 2440-2447 - [c25]Cristina E. Manfredotti
Learning Models of Activities Involving Interacting Objects. IDA 2013: 285-297 - 2012
- [j8]Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen
Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. 97(1): 18-35 (2012) - [j7]Søren Hauberg, Stefan Sommer
Natural metrics and least-committed priors for articulated tracking. Image Vis. Comput. 30(6-7): 453-461 (2012) - [c24]Søren Hauberg, Kim Steenstrup Pedersen:
Spatial Measures between Human Poses for Classification and Understanding. AMDO 2012: 26-36 - [c23]Anders Boesen Lindbo Larsen, Sune Darkner
Jet-Based Local Image Descriptors. ECCV (3) 2012: 638-650 - 2011
- [j6]Søren Hauberg, Kim Steenstrup Pedersen
Predicting Articulated Human Motion from Spatial Processes. Int. J. Comput. Vis. 94(3): 317-334 (2011) - [c22]Anders Lindbjerg Dahl, Henrik Aanæs, Kim Steenstrup Pedersen
Finding the Best Feature Detector-Descriptor Combination. 3DIMPVT 2011: 318-325 - [c21]Søren Hauberg, Kim Steenstrup Pedersen
Data-Driven Importance Distributions for Articulated Tracking. EMMCVPR 2011: 287-299 - [c20]Peter Mysling, Søren Hauberg, Kim Steenstrup Pedersen
An Empirical Study on the Performance of Spectral Manifold Learning Techniques. ICANN (1) 2011: 347-354 - [c19]Anders Boesen Lindbo Larsen, Søren Hauberg, Kim Steenstrup Pedersen
Unscented Kalman Filtering for Articulated Human Tracking. SCIA 2011: 228-237 - 2010
- [c18]Søren Hauberg, Kim Steenstrup Pedersen
Stick It! Articulated Tracking Using Spatial Rigid Object Priors. ACCV (3) 2010: 758-769 - [c17]Søren Hauberg, Stefan Sommer
Gaussian-Like Spatial Priors for Articulated Tracking. ECCV (1) 2010: 425-437
2000 – 2009
- 2009
- [c16]Søren Hauberg, Jérôe Lapuyade, Morten Engell-Nørregård, Kenny Erleben
Three Dimensional Monocular Human Motion Analysis in End-Effector Space. EMMCVPR 2009: 235-248 - [c15]David Gustavsson, Kim Steenstrup Pedersen
On the Rate of Structural Change in Scale Spaces. SSVM 2009: 832-843 - [c14]David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen:
A SVD based Image Complexity Measure. VISAPP (2) 2009: 34-39 - [c13]Morten Engell-Nørregård, Søren Hauberg, Jérôe Lapuyade, Kenny Erleben
Interactive Inverse Kinematics for Human Motion Estimation. VRIPHYS 2009: 77-84 - 2008
- [j5]Mads Nielsen, Marleen de Bruijne
Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. 31(2-3): 119-120 (2008) - [j4]Anne Cuzol, Kim Steenstrup Pedersen
Field of Particle Filters for Image Inpainting. J. Math. Imaging Vis. 31(2-3): 147-156 (2008) - [j3]Bo Markussen
Second Order Structure of Scale-Space Measurements. J. Math. Imaging Vis. 31(2-3): 207-220 (2008) - 2007
- [c12]Kim Steenstrup Pedersen, Marco Loog, Bo Markussen
Generic Maximum Likely Scale Selection. SSVM 2007: 362-373 - [c11]David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen:
Image Inpainting by Cooling and Heating. SCIA 2007: 591-600 - [c10]Kim Steenstrup Pedersen, Marco Loog, Pieter van Dorst:
Salient Point and Scale Detection by Minimum Likelihood. Gaussian Processes in Practice 2007: 59-72 - [e1]Bjarne K. Ersbøll, Kim Steenstrup Pedersen:
Image Analysis, 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007, Proceedings. Lecture Notes in Computer Science 4522, Springer 2007, ISBN 978-3-540-73039-2 [contents] - 2005
- [c9]Bo Markussen, Kim Steenstrup Pedersen
A Scale Invariant Covariance Structure on Jet Space. DSSCV 2005: 12-23 - [c8]Marco Loog, Kim Steenstrup Pedersen
Maximum Likely Scale Estimation. DSSCV 2005: 146-156 - [c7]Sune Høgild Keller, Kim Steenstrup Pedersen
Detecting Interlaced or Progressive Source of Video. MMSP 2005: 1-4 - [c6]Kim Steenstrup Pedersen, Remco Duits, Mads Nielsen:
On alpha Kernels, Lévy Processes, and Natural Image Statistics. Scale-Space 2005: 468-479 - 2004
- [c5]Martin Lillholm, Kim Steenstrup Pedersen
Jet Based Feature Classification. ICPR (2) 2004: 787-790 - 2003
- [j2]Ann B. Lee, Kim Steenstrup Pedersen, David Mumford:
The Nonlinear Statistics of High-Contrast Patches in Natural Images. Int. J. Comput. Vis. 54(1-3): 83-103 (2003) - [c4]Kim Steenstrup Pedersen:
Properties of Brownian Image Models in Scale-Space. Scale-Space 2003: 281-296 - 2002
- [c3]Kim Steenstrup Pedersen, Ann B. Lee:
Toward a Full Probability Model of Edges in Natural Images. ECCV (1) 2002: 328-342 - 2001
- [c2]Kim Steenstrup Pedersen, Mads Nielsen:
Computing Optic Flow by Scale-Space Integration of Normal Flow. Scale-Space 2001: 14-25 - 2000
- [j1]Kim Steenstrup Pedersen
The Hausdorff Dimension and Scale-Space Normalization of Natural Images. J. Vis. Commun. Image Represent. 11(2): 266-277 (2000)
1990 – 1999
- 1999
- [c1]Kim Steenstrup Pedersen, Mads Nielsen:
The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. Scale-Space 1999: 271-282
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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