Kim Steenstrup Pedersen

57 papers A* 1B 1C 1Journal 22Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process. CoRR Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen
2025	J	`jnl`	The Phantom of the Elytra - Phylogenetic Trait Extraction from Images of Rove Beetles Using Deep Learning - Is the Mask Enough? CoRR Roberta Hunt, Kim Steenstrup Pedersen
2025	J	`jnl`	Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach. CoRR Ole-Christian Galbo Engstrøm, Michela Albano-Gaglio, Erik Schou Dreier, Yamine Bouzembrak, Maria Font-i-Furnols, Puneet Mishra, Kim Steenstrup Pedersen
2024	J	`jnl`	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. Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen
2023	J	`jnl`	Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios. CoRR Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen
2023	—	`conf`	Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics. ICCV (Workshops) Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen
2023	J	`jnl`	Refractive Pose Refinement. Int. J. Comput. Vis. Xiao Hu, François Lauze, Kim Steenstrup Pedersen
2022	—	`conf`	Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. ACCV (5) Roberta Hunt, Kim Steenstrup Pedersen
2021	—	`conf`	Absolute and Relative Pose Estimation in Refractive Multi View. ICCVW Xiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou
2021	—	`conf`	Predicting Protein Content in Grain Using Hyperspectral Deep Learning. ICCVW Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Kim Steenstrup Pedersen
2019	—	`conf`	A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	J	`jnl`	A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne
2019	—	`conf`	Deep Learning for Detection of Railway Signs and Signals. CVC (1) Georgios Karagiannis, Søren I. Olsen, Kim Steenstrup Pedersen
2017	J	`jnl`	Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. CoRR Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2017	J	`jnl`	Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. IEEE Intell. Syst. Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2016	J	`jnl`	Special section on 19th Scandinavian conference on image analysis (SCIA 2015). Pattern Recognit. Lett. Kim Steenstrup Pedersen, Rasmus R. Paulsen
2015	—	`ed.`	Image Analysis - 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings SCIA Rasmus R. Paulsen, Kim Steenstrup Pedersen
2015	J	`jnl`	Nearest neighbor density ratio estimation for large-scale applications in astronomy. Astron. Comput. Jan Kremer, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2014	J	`jnl`	Active learning with support vector machines. WIREs Data Mining Knowl. Discov. Jan Kremer, Kim Steenstrup Pedersen, Christian Igel
2014	J	`jnl`	Erratum to: Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen
2013	B	`conf`	Learning Models of Activities Involving Interacting Objects. IDA Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles
2013	—	`conf`	Nearest neighbour regression outperforms model-based prediction of specific star formation rate. IEEE BigData Kristoffer Stensbo-Smidt, Christian Igel, Andrew Zirm, Kim Steenstrup Pedersen
2013	A*	`conf`	Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. ICCV Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel
2013	J	`jnl`	Unscented Kalman Filtering on Riemannian Manifolds. J. Math. Imaging Vis. Søren Hauberg, François Lauze, Kim Steenstrup Pedersen
2012	J	`jnl`	Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen
2012	—	`conf`	Jet-Based Local Image Descriptors. ECCV (3) Anders Boesen Lindbo Larsen, Sune Darkner, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen
2012	J	`jnl`	Natural metrics and least-committed priors for articulated tracking. Image Vis. Comput. Søren Hauberg, Stefan Sommer, Kim Steenstrup Pedersen
2012	—	`conf`	Spatial Measures between Human Poses for Classification and Understanding. AMDO Søren Hauberg, Kim Steenstrup Pedersen
2011	—	`conf`	An Empirical Study on the Performance of Spectral Manifold Learning Techniques. ICANN (1) Peter Mysling, Søren Hauberg, Kim Steenstrup Pedersen
2011	—	`conf`	Data-Driven Importance Distributions for Articulated Tracking. EMMCVPR Søren Hauberg, Kim Steenstrup Pedersen
2011	—	`conf`	Finding the Best Feature Detector-Descriptor Combination. 3DIMPVT Anders Lindbjerg Dahl, Henrik Aanæs, Kim Steenstrup Pedersen
2011	J	`jnl`	Predicting Articulated Human Motion from Spatial Processes. Int. J. Comput. Vis. Søren Hauberg, Kim Steenstrup Pedersen
2011	—	`conf`	Unscented Kalman Filtering for Articulated Human Tracking. SCIA Anders Boesen Lindbo Larsen, Søren Hauberg, Kim Steenstrup Pedersen
2010	—	`conf`	Gaussian-Like Spatial Priors for Articulated Tracking. ECCV (1) Søren Hauberg, Stefan Sommer, Kim Steenstrup Pedersen
2010	—	`conf`	Stick It! Articulated Tracking Using Spatial Rigid Object Priors. ACCV (3) Søren Hauberg, Kim Steenstrup Pedersen
2009	—	`conf`	A SVD based Image Complexity Measure. VISAPP (2) David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen
2009	—	`conf`	Interactive Inverse Kinematics for Human Motion Estimation. VRIPHYS Morten Engell-Nørregård, Søren Hauberg, Jérôe Lapuyade, Kenny Erleben, Kim Steenstrup Pedersen
2009	—	`conf`	On the Rate of Structural Change in Scale Spaces. SSVM David Gustavsson, Kim Steenstrup Pedersen, François Lauze, Mads Nielsen
2009	—	`conf`	Three Dimensional Monocular Human Motion Analysis in End-Effector Space. EMMCVPR Søren Hauberg, Jérôe Lapuyade, Morten Engell-Nørregård, Kenny Erleben, Kim Steenstrup Pedersen
2008	J	`jnl`	Field of Particle Filters for Image Inpainting. J. Math. Imaging Vis. Anne Cuzol, Kim Steenstrup Pedersen, Mads Nielsen
2008	J	`jnl`	Second Order Structure of Scale-Space Measurements. J. Math. Imaging Vis. Bo Markussen, Kim Steenstrup Pedersen, Marco Loog
2008	J	`jnl`	Special Issue on Tribute Workshop for Peter Johansen. J. Math. Imaging Vis. Mads Nielsen, Marleen de Bruijne, Camilla Jørgensen, Søren I. Olsen, Kim Steenstrup Pedersen, Jon Sporring
2007	—	`conf`	Generic Maximum Likely Scale Selection. SSVM Kim Steenstrup Pedersen, Marco Loog, Bo Markussen
2007	—	`ed.`	Image Analysis, 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007, Proceedings SCIA Bjarne K. Ersbøll, Kim Steenstrup Pedersen
2007	—	`conf`	Image Inpainting by Cooling and Heating. SCIA David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen
2007	—	`conf`	Salient Point and Scale Detection by Minimum Likelihood. Gaussian Processes in Practice Kim Steenstrup Pedersen, Marco Loog, Pieter van Dorst
2005	—	`conf`	A Scale Invariant Covariance Structure on Jet Space. DSSCV Bo Markussen, Kim Steenstrup Pedersen, Marco Loog
2005	C	`conf`	Detecting Interlaced or Progressive Source of Video. MMSP Sune Høgild Keller, Kim Steenstrup Pedersen, François Lauze
2005	—	`conf`	Maximum Likely Scale Estimation. DSSCV Marco Loog, Kim Steenstrup Pedersen, Bo Markussen
2005	—	`conf`	On alpha Kernels, Lévy Processes, and Natural Image Statistics. Scale-Space Kim Steenstrup Pedersen, Remco Duits, Mads Nielsen
2004	—	`conf`	Jet Based Feature Classification. ICPR (2) Martin Lillholm, Kim Steenstrup Pedersen
2003	—	`conf`	Properties of Brownian Image Models in Scale-Space. Scale-Space Kim Steenstrup Pedersen
2003	J	`jnl`	The Nonlinear Statistics of High-Contrast Patches in Natural Images. Int. J. Comput. Vis. Ann B. Lee, Kim Steenstrup Pedersen, David Mumford
2002	—	`conf`	Toward a Full Probability Model of Edges in Natural Images. ECCV (1) Kim Steenstrup Pedersen, Ann B. Lee
2001	—	`conf`	Computing Optic Flow by Scale-Space Integration of Normal Flow. Scale-Space Kim Steenstrup Pedersen, Mads Nielsen
2000	J	`jnl`	The Hausdorff Dimension and Scale-Space Normalization of Natural Images. J. Vis. Commun. Image Represent. Kim Steenstrup Pedersen, Mads Nielsen
1999	—	`conf`	The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. Scale-Space Kim Steenstrup Pedersen, Mads Nielsen