Volker Steinhage, PD Dr.

About Volker Steinhage, PD Dr.

Volker Steinhage, PD Dr., With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Artificial Intelligence, Computer Vision.

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

Action Detection for Wildlife Monitoring with Camera Traps Based on Segmentation with Filtering of Tracklets (SWIFT) and Mask-Guided Action Recognition (MAROON)

Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions

The Potential of Diffusion-Based Near-Infrared Image Colorization

On Convolutional Vision Transformers for Yield Prediction

Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning

A semi‐automated camera trap distance sampling approach for population density estimation

Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction

PHENOquad: A new multi sensor platform for field phenotyping and screening of yield relevant characteristics within grapevine breeding research

Volker Steinhage, PD Dr. Information

University

Position

Acad. Dir. .

Citations(all)

2820

Citations(since 2020)

1249

Cited By

1946

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

42

i10Index(since 2020)

26

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

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Volker Steinhage, PD Dr. Skills & Research Interests

Artificial Intelligence

Computer Vision

Top articles of Volker Steinhage, PD Dr.

Title

Journal

Author(s)

Publication Date

Action Detection for Wildlife Monitoring with Camera Traps Based on Segmentation with Filtering of Tracklets (SWIFT) and Mask-Guided Action Recognition (MAROON)

Applied Sciences

Frank Schindler

Volker Steinhage

Suzanne TS van Beeck Calkoen

Marco Heurich

2024/1/6

Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions

Sensors

Florian Huber

Stefan Schulz

Volker Steinhage

2024/1

The Potential of Diffusion-Based Near-Infrared Image Colorization

Sensors

Ayk Borstelmann

Timm Haucke

Volker Steinhage

2024/2/28

On Convolutional Vision Transformers for Yield Prediction

arXiv preprint arXiv:2402.05557

Alvin Inderka

Florian Huber

Volker Steinhage

2024/2/8

Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning

Sensors

Florian Huber

Alvin Inderka

Volker Steinhage

2024/1/24

A semi‐automated camera trap distance sampling approach for population density estimation

Remote Sensing in Ecology and Conservation

Maik Henrich

Mercedes Burgueño

Jacqueline Hoyer

Timm Haucke

Volker Steinhage

...

2023

Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction

Florian Huber

Hannes Engler

Anna Kicherer

Katja Herzog

Reinhard Töpfer

...

2023/9/7

PHENOquad: A new multi sensor platform for field phenotyping and screening of yield relevant characteristics within grapevine breeding research

Vitis

Hannes Engler

Pascal Gauweiler

Florian Huber

Julius Krause

Benedikt Fischer

...

2023/7/2

Towards a multisensor station for automated biodiversity monitoring

Basic and Applied Ecology

J Wolfgang Wägele

Paul Bodesheim

Sarah J Bourlat

Joachim Denzler

Michael Diepenbroek

...

2022/3/1

SOCRATES: a stereo camera trap for monitoring of biodiversity

arXiv preprint arXiv:2209.09070

Timm Haucke

Hjalmar S Kühl

Volker Steinhage

2022/9/19

SOCRATES: Introducing depth in visual wildlife monitoring using stereo vision

Sensors

Timm Haucke

Hjalmar S Kühl

Volker Steinhage

2022/11/23

Image-based automated species identification: can virtual data augmentation overcome problems of insufficient sampling?

Systematic Biology

Morris Klasen

Dirk Ahrens

Jonas Eberle

Volker Steinhage

2022/3/1

Automated distance estimation for wildlife camera trapping

Ecological Informatics

Peter Johanns

Timm Haucke

Volker Steinhage

2022/9/1

Instance segmentation and tracking of animals in wildlife videos: SWIFT-segmentation with filtering of tracklets

Ecological Informatics

Frank Schindler

Volker Steinhage

2022/11/1

Sensor based screening of yield relevant characteristics within grapevine breeding research.

Julius-Kühn-Archiv

Hannes Engler

Pascal Gauweiler

Florian Huber

Julius Kraus

Benedikt Fischer

...

2022/7/1

Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches

Computers and Electronics in Agriculture

Florian Huber

Artem Yushchenko

Benedikt Stratmann

Volker Steinhage

2022/11/1

Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps

Ecological Informatics

Timm Haucke

Hjalmar S Kühl

Jacqueline Hoyer

Volker Steinhage

2022/5/1

Wildlife 3D multi-object tracking

Ecological Informatics

Morris Klasen

Volker Steinhage

2022/11/1

Improving wildlife tracking using 3D information

Ecological Informatics

Morris Klasen

Volker Steinhage

2022/5/1

Relieving the phenotyping bottleneck for grape bunch architecture in grapevine breeding research: implementation of a 3D-based phenotyping approach for quantitative trait locus …

Horticulturae

Florian Rist

Florian Schwander

Robert Richter

Jennifer Mack

Anna Schwandner

...

2022/10/5

See List of Professors in Volker Steinhage, PD Dr. University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

H-index: 64
Kristian Kersting

Kristian Kersting

Technische Universität Darmstadt

H-index: 48
David De Jong

David De Jong

Universidade de São Paulo

H-index: 44
Wolfgang Förstner

Wolfgang Förstner

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 42
Armin Cremers

Armin Cremers

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 41
Thomas H. Kolbe

Thomas H. Kolbe

Technische Universität München

H-index: 38
Volker Roth

Volker Roth

Universität Basel

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