The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. - Kim Steenstrup Pedersen; Mads Nielsen (Scale-Space, 1999)

The Hausdorff Dimension and Scale-Space Normalization of Natural Images. - Kim Steenstrup Pedersen; Mads Nielsen (J. Vis. Commun. Image Represent., 2000)

Computing Optic Flow by Scale-Space Integration of Normal Flow. - Kim Steenstrup Pedersen; Mads Nielsen (Scale-Space, 2001)

Toward a Full Probability Model of Edges in Natural Images. - Kim Steenstrup Pedersen; Ann B. Lee (ECCV (1), 2002)

Properties of Brownian Image Models in Scale-Space. - Kim Steenstrup Pedersen (Scale-Space, 2003)

The Nonlinear Statistics of High-Contrast Patches in Natural Images. - Ann B. Lee; Kim Steenstrup Pedersen; David Mumford (Int. J. Comput. Vis., 2003)

Jet Based Feature Classification. - Martin Lillholm; Kim Steenstrup Pedersen (ICPR (2), 2004)

Maximum Likely Scale Estimation. - Marco Loog; Kim Steenstrup Pedersen; Bo Markussen (DSSCV, 2005)

A Scale Invariant Covariance Structure on Jet Space. - Bo Markussen; Kim Steenstrup Pedersen; Marco Loog (DSSCV, 2005)

Detecting Interlaced or Progressive Source of Video. - Sune Høgild Keller; Kim Steenstrup Pedersen; François Lauze (MMSP, 2005)

On alpha Kernels, Lévy Processes, and Natural Image Statistics. - Kim Steenstrup Pedersen; Remco Duits; Mads Nielsen (Scale-Space, 2005)

Generic Maximum Likely Scale Selection. - Kim Steenstrup Pedersen; Marco Loog; Bo Markussen (SSVM, 2007)

Image Inpainting by Cooling and Heating. - David Gustavsson; Kim Steenstrup Pedersen; Mads Nielsen (SCIA, 2007)

Salient Point and Scale Detection by Minimum Likelihood. - Kim Steenstrup Pedersen; Marco Loog; Pieter van Dorst (Gaussian Processes in Practice, 2007)

Field of Particle Filters for Image Inpainting. - Anne Cuzol; Kim Steenstrup Pedersen; Mads Nielsen (J. Math. Imaging Vis., 2008)

Second Order Structure of Scale-Space Measurements. - Bo Markussen; Kim Steenstrup Pedersen; Marco Loog (J. Math. Imaging Vis., 2008)

Special Issue on Tribute Workshop for Peter Johansen. - Mads Nielsen; Marleen de Bruijne; Camilla Jørgensen; Søren I. Olsen; Kim Steenstrup Pedersen; Jon Sporring (J. Math. Imaging Vis., 2008)

Three Dimensional Monocular Human Motion Analysis in End-Effector Space. - Søren Hauberg; Jérôe Lapuyade; Morten Engell-Nørregård; Kenny Erleben; Kim Steenstrup Pedersen (EMMCVPR, 2009)

On the Rate of Structural Change in Scale Spaces. - David Gustavsson; Kim Steenstrup Pedersen; François Lauze; Mads Nielsen (SSVM, 2009)

A SVD based Image Complexity Measure. - David Gustavsson; Kim Steenstrup Pedersen; Mads Nielsen (VISAPP (2), 2009)

Interactive Inverse Kinematics for Human Motion Estimation. - Morten Engell-Nørregård; Søren Hauberg; Jérôe Lapuyade; Kenny Erleben; Kim Steenstrup Pedersen (VRIPHYS, 2009)

Stick It! Articulated Tracking Using Spatial Rigid Object Priors. - Søren Hauberg; Kim Steenstrup Pedersen (ACCV (3), 2010)

Gaussian-Like Spatial Priors for Articulated Tracking. - Søren Hauberg; Stefan Sommer; Kim Steenstrup Pedersen (ECCV (1), 2010)

Finding the Best Feature Detector-Descriptor Combination. - Anders Lindbjerg Dahl; Henrik Aanæs; Kim Steenstrup Pedersen (3DIMPVT, 2011)

Data-Driven Importance Distributions for Articulated Tracking. - Søren Hauberg; Kim Steenstrup Pedersen (EMMCVPR, 2011)

An Empirical Study on the Performance of Spectral Manifold Learning Techniques. - Peter Mysling; Søren Hauberg; Kim Steenstrup Pedersen (ICANN (1), 2011)

Unscented Kalman Filtering for Articulated Human Tracking. - Anders Boesen Lindbo Larsen; Søren Hauberg; Kim Steenstrup Pedersen (SCIA, 2011)

Predicting Articulated Human Motion from Spatial Processes. - Søren Hauberg; Kim Steenstrup Pedersen (Int. J. Comput. Vis., 2011)

Spatial Measures between Human Poses for Classification and Understanding. - Søren Hauberg; Kim Steenstrup Pedersen (AMDO, 2012)

Jet-Based Local Image Descriptors. - Anders Boesen Lindbo Larsen; Sune Darkner; Anders Lindbjerg Dahl; Kim Steenstrup Pedersen (ECCV (3), 2012)

Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. - Henrik Aanæs; Anders Lindbjerg Dahl; Kim Steenstrup Pedersen (Int. J. Comput. Vis., 2012)

Natural metrics and least-committed priors for articulated tracking. - Søren Hauberg; Stefan Sommer; Kim Steenstrup Pedersen (Image Vis. Comput., 2012)

Nearest neighbour regression outperforms model-based prediction of specific star formation rate. - Kristoffer Stensbo-Smidt; Christian Igel; Andrew Zirm; Kim Steenstrup Pedersen (IEEE BigData, 2013)

Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. - Kim Steenstrup Pedersen; Kristoffer Stensbo-Smidt; Andrew Zirm; Christian Igel (ICCV, 2013)

Learning Models of Activities Involving Interacting Objects. - Cristina E. Manfredotti; Kim Steenstrup Pedersen; Howard J. Hamilton; Sandra Zilles (IDA, 2013)

Unscented Kalman Filtering on Riemannian Manifolds. - Søren Hauberg; François Lauze; Kim Steenstrup Pedersen (J. Math. Imaging Vis., 2013)

Erratum to: Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. - Henrik Aanæs; Anders Lindbjerg Dahl; Kim Steenstrup Pedersen (Int. J. Comput. Vis., 2014)

Active learning with support vector machines. - Jan Kremer; Kim Steenstrup Pedersen; Christian Igel (WIREs Data Mining Knowl. Discov., 2014)

Nearest neighbor density ratio estimation for large-scale applications in astronomy. - Jan Kremer; Fabian Gieseke; Kim Steenstrup Pedersen; Christian Igel (Astron. Comput., 2015)

Special section on 19th Scandinavian conference on image analysis (SCIA 2015). - Kim Steenstrup Pedersen; Rasmus R. Paulsen (Pattern Recognit. Lett., 2016)

Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. - Jan Kremer; Kristoffer Stensbo-Smidt; Fabian Gieseke; Kim Steenstrup Pedersen; Christian Igel (IEEE Intell. Syst., 2017)

Deep Learning for Detection of Railway Signs and Signals. - Georgios Karagiannis; Søren I. Olsen; Kim Steenstrup Pedersen (CVC (1), 2019)

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. - Wouter M. Kouw; Silas N. Ørting; Jens Petersen; Kim Steenstrup Pedersen; Marleen de Bruijne (IPMI, 2019)

Predicting Protein Content in Grain Using Hyperspectral Deep Learning. - Ole-Christian Galbo Engstrøm; Erik Schou Dreier; Kim Steenstrup Pedersen (ICCVW, 2021)

Absolute and Relative Pose Estimation in Refractive Multi View. - Xiao Hu; François Lauze; Kim Steenstrup Pedersen; Jean Mélou (ICCVW, 2021)

Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. - Roberta Hunt; Kim Steenstrup Pedersen (ACCV (5), 2022)

Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics. - Ole-Christian Galbo Engstrøm; Erik Schou Dreier; Birthe Møller Jespersen; Kim Steenstrup Pedersen (ICCV (Workshops), 2023)

Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios. - Ole-Christian Galbo Engstrøm; Erik Schou Dreier; Birthe Møller Jespersen; Kim Steenstrup Pedersen (CoRR, 2023)

Refractive Pose Refinement. - Xiao Hu; François Lauze; Kim Steenstrup Pedersen (Int. J. Comput. Vis., 2023)

IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX. - Ole-Christian Galbo Engstrøm; Erik Schou Dreier; Birthe Møller Jespersen; Kim Steenstrup Pedersen (J. Open Source Softw., 2024)

The Phantom of the Elytra - Phylogenetic Trait Extraction from Images of Rove Beetles Using Deep Learning - Is the Mask Enough? - Roberta Hunt; Kim Steenstrup Pedersen (CoRR, 2025)

Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach. - Ole-Christian Galbo Engstrøm; Michela Albano-Gaglio; Erik Schou Dreier; Yamine Bouzembrak; Maria Font-i-Furnols; Puneet Mishra; Kim Steenstrup Pedersen (CoRR, 2025)

A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process. - Ole-Christian Galbo Engstrøm; Erik Schou Dreier; Birthe Møller Jespersen; Kim Steenstrup Pedersen (CoRR, 2025)