Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Københavns Universitet

H-index: 18

Europe-Denmark

About Kim Steenstrup Pedersen

Kim Steenstrup Pedersen, With an exceptional h-index of 18 and a recent h-index of 11 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of Computer vision, computer vision for natural history and cultural heritage, image analysis, machine learning, pattern recognitio.

His recent articles reflect a diverse array of research interests and contributions to the field:

Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface

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

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

Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

Rove-Tree-11: The not-so-Wild Rover, A hierarchically structured image dataset for deep metric learning research

Absolute and relative pose estimation in refractive multi view

Predicting Protein Content in Grain Using Hyperspectral Deep Learning

Deep learning for detection of railway signs and signals

Kim Steenstrup Pedersen Information

University

Position

Department of computer science

Citations(all)

1653

Citations(since 2020)

609

Cited By

1315

hIndex(all)

18

hIndex(since 2020)

11

i10Index(all)

30

i10Index(since 2020)

13

Email

University Profile Page

Københavns Universitet

Google Scholar

View Google Scholar Profile

Kim Steenstrup Pedersen Skills & Research Interests

Computer vision

computer vision for natural history and cultural heritage

image analysis

machine learning

pattern recognitio

Top articles of Kim Steenstrup Pedersen

Title

Journal

Author(s)

Publication Date

Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface

International Journal of Computer Vision

Xiao Hu

François Lauze

Kim Steenstrup Pedersen

2023/6

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

2023

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

arXiv preprint arXiv:2311.04042

Ole-Christian Galbo Engstrøm

Erik Schou Dreier

Birthe Møller Jespersen

Kim Steenstrup Pedersen

2023/11/7

Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

Journal of Near Infrared Spectroscopy

Erik Schou Dreier

Klavs Martin Sorensen

Toke Lund-Hansen

Birthe Møller Jespersen

Kim Steenstrup Pedersen

2022/6

Rove-Tree-11: The not-so-Wild Rover, A hierarchically structured image dataset for deep metric learning research

Roberta Hunt

Kim Steenstrup Pedersen

2022

Absolute and relative pose estimation in refractive multi view

Xiao Hu

François Lauze

Kim Steenstrup Pedersen

Jean Mélou

2021

Predicting Protein Content in Grain Using Hyperspectral Deep Learning

Ole-Christian Galbo Engstrøm

Erik Schou Dreier

Kim Steenstrup Pedersen

2021

Deep learning for detection of railway signs and signals

Georgios Karagiannis

Søren Olsen

Kim Pedersen

2020

See List of Professors in Kim Steenstrup Pedersen University(Københavns Universitet)

Co-Authors

H-index: 57
Marleen de Bruijne

Marleen de Bruijne

Københavns Universitet

H-index: 53
Christian Igel

Christian Igel

Københavns Universitet

H-index: 45
Mads Nielsen

Mads Nielsen

Københavns Universitet

H-index: 41
Marco Loog

Marco Loog

Technische Universiteit Delft

H-index: 30
Søren Hauberg

Søren Hauberg

Danmarks Tekniske Universitet

H-index: 29
Ann B. Lee

Ann B. Lee

Carnegie Mellon University

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