Claus Melvad

Aarhus University

Denmark

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Professors in Computer Vision

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Articles (9)

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

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2021

Year:

2021

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2020

Year:

2020

Collaborators (12)

Kim Bjerge

Aarhus University

DENMARK

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Toke T. Hoye

Professor

Aarhus University

DENMARK

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Kai Finster

Aarhus University

DENMARK

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Tina Santl-Temkiv

Aarhus University

DENMARK

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Oskar Hansen

Aarhus University

DENMARK

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Jeffrey Kerby

Aarhus University

DENMARK

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Lise Lotte Sørensen

Aarhus University

DENMARK

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Mikhail Mastepanov

Aarhus University

DENMARK

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Mads Dyrmann

Aarhus University

DENMARK

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Tenna Riis

Aarhus University

DENMARK

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Torben R. Christensen

Aarhus University

DENMARK

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Marianne Bruus

Aarhus University

DENMARK

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Claus Melvad

Research Interests

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Contact this professor

Articles (9)

Micro-PINGUIN

Compact and modular autonomous surface vehicle for water research

A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas

Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed?

Lightweight drone-deployed autonomous ocean profiler for repeated measurements in hazardous areas – Example from glacier fronts in NE Greenland

A cost-efficient low-weight autonomous profiler for measurements in polar coastal waters and other regions with strong density gradients

Deep learning and computer vision will transform entomology

Automatic image-based identification and biomass estimation of invertebrates

An affordable and miniature ice coring drill for rapid acquisition of small iceberg samples

Collaborators (12)

Kim Bjerge

Toke T. Hoye

Kai Finster

Tina Santl-Temkiv

Oskar Hansen

Jeffrey Kerby

Lise Lotte Sørensen

Mikhail Mastepanov

Mads Dyrmann

Tenna Riis

Torben R. Christensen

Marianne Bruus

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