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Mr

Chris James

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Overview

Availability

Mr Chris James is:
Available for supervision

Qualifications

  • Bachelor of Information Technology, Guru Gobind Singh Indraprastha University
  • Masters (Coursework) of Data Science, The University of Queensland

Works

Search Professor Chris James’s works on UQ eSpace

7 works between 2023 and 2025

1 - 7 of 7 works

2025

Conference Publication

Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles

James, Chrisbin, Chapman, Scott C and Chandra, Shekhar S (2025). Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles. IEEE. doi: 10.1109/igarss55030.2025.11242439

Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles

2025

Other Outputs

2024 Scott Teaching Trial

Gho Brito, Carla, Chapman, Scott, Smith, Daniel, Chen, Xiaolong, James, Chris, MUGAMBA, Edward, Oya, Riku and Cave, Lleyton (2025). 2024 Scott Teaching Trial. The University of Queensland. (Dataset) doi: 10.48610/808c370

2024 Scott Teaching Trial

2024

Journal Article

GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping

James, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S. and Chapman, Scott C. (2024). GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Computers and Electronics in Agriculture, 217 108485, 108485. doi: 10.1016/j.compag.2023.108485

GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping

2023

Journal Article

VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

Madec, Simon, Irfan, Kamran, Velumani, Kaaviya, Baret, Frederic, David, Etienne, Daubige, Gaetan, Samatan, Lucas Bernigaud, Serouart, Mario, Smith, Daniel, James, Chrisbin, Camacho, Fernando, Guo, Wei, De Solan, Benoit, Chapman, Scott C. and Weiss, Marie (2023). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data, 10 (1) 302, 1-12. doi: 10.1038/s41597-023-02098-y

VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

2023

Other Outputs

Sorghum Panicle Detection Ground-UAV Dataset

Chapman, Scott and James, Chris (2023). Sorghum Panicle Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/9c3dd16

Sorghum Panicle Detection Ground-UAV Dataset

2023

Other Outputs

Wheat Head Detection Ground-UAV Dataset

Chapman, Scott and James, Chris (2023). Wheat Head Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/f6a6b07

Wheat Head Detection Ground-UAV Dataset

2023

Journal Article

From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection

James, Chrisbin, Gu, Yanyang, Potgieter, Andries, David, Etienne, Madec, Simon, Guo, Wei, Baret, Frédéric, Eriksson, Anders and Chapman, Scott (2023). From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection. Plant Phenomics, 5 0017, 1-16. doi: 10.34133/plantphenomics.0017

From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection

Supervision

Availability

Mr Chris James is:
Available for supervision

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Media

Enquiries

For media enquiries about Mr Chris James's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au