Kim Steenstrup Pedersen

Ole-Christian Galbo Engstrøm

Int. J. Comput. Vis., June, 2023

Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios.

[BibT_eX]

[DOI]

Erik Schou Dreier

Birthe Møller Jespersen

Ole-Christian Galbo Engstrøm

CoRR, 2023

Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics.

[BibT_eX]

[DOI]

Erik Schou Dreier

Birthe Møller Jespersen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research.

[BibT_eX]

[DOI]

Roberta Hunt

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Absolute and Relative Pose Estimation in Refractive Multi View.

[BibT_eX]

[DOI]

Xiao Hu

Ole-Christian Galbo Engstrøm

Jean Mélou

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Predicting Protein Content in Grain Using Hyperspectral Deep Learning.

[BibT_eX]

[DOI]

Erik Schou Dreier

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation.

[BibT_eX]

[DOI]

Wouter M. Kouw

Silas N. Ørting

Jens Petersen

Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2019

Deep Learning for Detection of Railway Signs and Signals.

[BibT_eX]

[DOI]

Georgios Karagiannis

Søren I. Olsen

Proceedings of the Advances in Computer Vision, 2019

2017

Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy.

[BibT_eX]

[DOI]

Jan Kremer

Kristoffer Stensbo-Smidt

Fabian Gieseke

IEEE Intell. Syst., 2017

2016

Special section on 19th Scandinavian conference on image analysis (SCIA 2015).

[BibT_eX]

[DOI]

Rasmus R. Paulsen

Pattern Recognit. Lett., 2016

2015

Nearest neighbor density ratio estimation for large-scale applications in astronomy.

[BibT_eX]

[DOI]

Jan Kremer

Fabian Gieseke

Astron. Comput., 2015

2014

Active learning with support vector machines.

[BibT_eX]

[DOI]

Jan Kremer

WIREs Data Mining Knowl. Discov., 2014

Erratum to: Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set.

[BibT_eX]

[DOI]

Henrik Aanæs

Int. J. Comput. Vis., 2014

2013

Unscented Kalman Filtering on Riemannian Manifolds.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2013

Learning Models of Activities Involving Interacting Objects.

[BibT_eX]

[DOI]

Cristina E. Manfredotti

Howard J. Hamilton

Sandra Zilles

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Shape Index Descriptors Applied to Texture-Based Galaxy Analysis.

[BibT_eX]

[DOI]

Kristoffer Stensbo-Smidt

Andrew Zirm

Proceedings of the IEEE International Conference on Computer Vision, 2013

Nearest neighbour regression outperforms model-based prediction of specific star formation rate.

[BibT_eX]

[DOI]

Kristoffer Stensbo-Smidt

Andrew Zirm

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Natural metrics and least-committed priors for articulated tracking.

[BibT_eX]

[DOI]

Stefan Sommer

Image Vis. Comput., 2012

Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set.

[BibT_eX]

[DOI]

Henrik Aanæs

Anders Boesen Lindbo Larsen

Int. J. Comput. Vis., 2012

Jet-Based Local Image Descriptors.

[BibT_eX]

[DOI]

Sune Darkner

Proceedings of the Computer Vision - ECCV 2012, 2012

Spatial Measures between Human Poses for Classification and Understanding.

[BibT_eX]

[DOI]

Proceedings of the Articulated Motion and Deformable Objects, 2012

2011

Predicting Articulated Human Motion from Spatial Processes.

[BibT_eX]

[DOI]

Anders Boesen Lindbo Larsen

Int. J. Comput. Vis., 2011

Unscented Kalman Filtering for Articulated Human Tracking.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

An Empirical Study on the Performance of Spectral Manifold Learning Techniques.

[BibT_eX]

[DOI]

Peter Mysling

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Data-Driven Importance Distributions for Articulated Tracking.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Finding the Best Feature Detector-Descriptor Combination.

[BibT_eX]

[DOI]

Henrik Aanæs

Proceedings of the International Conference on 3D Imaging, 2011

2010

Gaussian-Like Spatial Priors for Articulated Tracking.

[BibT_eX]

[DOI]

Stefan Sommer

Proceedings of the Computer Vision, 2010

Stick It! Articulated Tracking Using Spatial Rigid Object Priors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Interactive Inverse Kinematics for Human Motion Estimation.

[BibT_eX]

[DOI]

Morten Engell-Nørregård

Jérôe Lapuyade

Kenny Erleben

Proceedings of the Sixth Workshop on Virtual Reality Interactions and Physical Simulations, 2009

A SVD based Image Complexity Measure.

[BibT_eX]

David Gustavsson

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

On the Rate of Structural Change in Scale Spaces.

[BibT_eX]

[DOI]

David Gustavsson

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Three Dimensional Monocular Human Motion Analysis in End-Effector Space.

[BibT_eX]

[DOI]

Jérôe Lapuyade

Morten Engell-Nørregård

Kenny Erleben

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008

Special Issue on Tribute Workshop for Peter Johansen.

[BibT_eX]

[DOI]

Jon Sporring

J. Math. Imaging Vis., 2008

Second Order Structure of Scale-Space Measurements.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2008

Field of Particle Filters for Image Inpainting.

[BibT_eX]

[DOI]

Anne Cuzol

J. Math. Imaging Vis., 2008

2007

Salient Point and Scale Detection by Minimum Likelihood.

[BibT_eX]

[DOI]

Pieter van Dorst

Proceedings of the Gaussian Processes in Practice, 2007

Image Inpainting by Cooling and Heating.

[BibT_eX]

[DOI]

David Gustavsson

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Generic Maximum Likely Scale Selection.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2005

On alpha Kernels, Lévy Processes, and Natural Image Statistics.

[BibT_eX]

[DOI]

Remco Duits

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Detecting Interlaced or Progressive Source of Video.

[BibT_eX]

[DOI]

Sune Høgild Keller

Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005

A Scale Invariant Covariance Structure on Jet Space.

[BibT_eX]

[DOI]

Proceedings of the Deep Structure, 2005

Maximum Likely Scale Estimation.

[BibT_eX]

[DOI]

Proceedings of the Deep Structure, 2005

2004

Jet Based Feature Classification.

[BibT_eX]

[DOI]

Martin Lillholm

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

The Nonlinear Statistics of High-Contrast Patches in Natural Images.

[BibT_eX]

[DOI]

Ann B. Lee

David Mumford

Int. J. Comput. Vis., 2003

Properties of Brownian Image Models in Scale-Space.

[BibT_eX]

[DOI]

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2002

Toward a Full Probability Model of Edges in Natural Images.

[BibT_eX]

[DOI]

Ann B. Lee

Proceedings of the Computer Vision, 2002

2001

Computing Optic Flow by Scale-Space Integration of Normal Flow.

[BibT_eX]

[DOI]

Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

2000

The Hausdorff Dimension and Scale-Space Normalization of Natural Images.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2000

1999

The Hausdorff Dimension and Scale-Space Normalisation of Natural Images.

[BibT_eX]

[DOI]