Chris McCool

About Chris McCool

Chris McCool, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Computer Vision, Fine-Grained Classification, Agricultural Robotics, Pattern Recognition, Biometrics.

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

Research priorities to leverage smart digital technologies for sustainable crop production

A cross-domain challenge with panoptic segmentation in agriculture

Panoptic mapping with fruit completion and pose estimation for horticultural robots

Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021)

Panoptic one-click segmentation: applied to agricultural data

PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture

Contrastive 3D shape completion and reconstruction for agricultural robots using RGB-D frames

Chris McCool Information

University

Position

Professor

Citations(all)

4907

Citations(since 2020)

3108

Cited By

2978

hIndex(all)

34

hIndex(since 2020)

25

i10Index(all)

61

i10Index(since 2020)

41

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

View Google Scholar Profile

Chris McCool Skills & Research Interests

Computer Vision

Fine-Grained Classification

Agricultural Robotics

Pattern Recognition

Biometrics

Top articles of Chris McCool

Title

Journal

Author(s)

Publication Date

Research priorities to leverage smart digital technologies for sustainable crop production

European Journal of Agronomy

Hugo Storm

Sabine Julia Seidel

Lasse Klingbeil

Frank Ewert

Harry Vereecken

...

2024/5/1

A cross-domain challenge with panoptic segmentation in agriculture

The International Journal of Robotics Research

Michael Halstead

Patrick Zimmer

Chris McCool

2024/1/18

Panoptic mapping with fruit completion and pose estimation for horticultural robots

Yue Pan

Federico Magistri

Thomas Läbe

Elias Marks

Claus Smitt

...

2023/10/1

Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021)

Chris McCool

Emanuele Menegatti

Sven Behnke

2023/5

Panoptic one-click segmentation: applied to agricultural data

IEEE Robotics and Automation Letters

Patrick Zimmer

Michael Halstead

Chris McCool

2023/3/8

PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

IEEE Robotics and Automation Letters

Claus Smitt

Michael Halstead

Patrick Zimmer

Thomas Läbe

Esra Guclu

...

2023/12/1

Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture

Maohui Li

Michael Hasltead

Chris McCool

2023/10/1

Contrastive 3D shape completion and reconstruction for agricultural robots using RGB-D frames

IEEE Robotics and Automation Letters

Federico Magistri

Elias Marks

Sumanth Nagulavancha

Ignacio Vizzo

Thomas Läebe

...

2022/7/22

Explicitly incorporating spatial information to recurrent networks for agriculture

IEEE Robotics and Automation Letters

Claus Smitt

Michael Halstead

Alireza Ahmadi

Chris McCool

2022/7/4

Bonnbot-i: A precise weed management and crop monitoring platform

Alireza Ahmadi

Michael Halstead

Chris McCool

2022/10/23

Towards autonomous visual navigation in arable fields

Alireza Ahmadi

Michael Halstead

Chris McCool

2022/10/23

Combining local and global viewpoint planning for fruit coverage

Tobias Zaenker

Chris Lehnert

Chris McCool

Maren Bennewitz

2021/8/31

Pathobot: A robot for glasshouse crop phenotyping and intervention

Claus Smitt

Michael Halstead

Tobias Zaenker

Maren Bennewitz

Chris McCool

2021/5/30

Crop agnostic monitoring driven by deep learning

Frontiers in plant science

Michael Halstead

Alireza Ahmadi

Claus Smitt

Oliver Schmittmann

Chris McCool

2021/12/20

Virtual temporal samples for recurrent neural networks: Applied to semantic segmentation in agriculture

Alireza Ahmadi

Michael Halstead

Chris McCool

2021/9/28

Viewpoint planning for fruit size and position estimation

Tobias Zaenker

Claus Smitt

Chris McCool

Maren Bennewitz

2021/9/27

JFR special issue on agricultural robotics, part 2

Journal of Field Robotics

Chris Lehnert

Chris McCool

Cyrill Stachniss

Peter Corke

Inkyu Sa

...

2020/3/1

Agricultural robotics, part 2.

Chris Lehnert

Chris McCool

Cyrill Stachniss

Peter Corke

Inkyu Sa

...

2020/2/6

Special issue on agricultural robotics.

Journal of Field Robotics

Chris Lehnert

Chris McCool

Peter Corke

Inkyu Sa

Cyrill Stachniss

...

2020/1/1

Fruit detection in the wild: The impact of varying conditions and cultivar

Michael Halstead

Simon Denman

Clinton Fookes

Chris McCool

2020

See List of Professors in Chris McCool University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

H-index: 105
Josef Kittler

Josef Kittler

University of Surrey

H-index: 86
Peter Corke

Peter Corke

Queensland University of Technology

H-index: 78
Tim Cootes

Tim Cootes

Manchester University

H-index: 56
Clinton Fookes

Clinton Fookes

Queensland University of Technology

H-index: 44
Vinod Chandran

Vinod Chandran

Queensland University of Technology

H-index: 43
Simon Denman

Simon Denman

Queensland University of Technology

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