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
- Doctor of Philosophy of Computer Vision, The University of Queensland
Works
Search Professor Chris James’s works on UQ eSpace
2026
Other Outputs
Sorghum diversity head counting dataset
Karannagoda, Rukshan, Baktashmotlagh, Mahsa, Chapman, Scott, Wang, Zijian, Guo, Kaiyu, Luo, Yadan, James, Chrisbin and Zheng, Bangyou (2026). Sorghum diversity head counting dataset. The University of Queensland. (Dataset) doi: 10.48610/45beb77
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. 2025 International Geoscience and Remote Sensing Symposium-IGARSS-Annual, Brisbane, QLD, Australia, 3-8 August 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss55030.2025.11242439
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
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
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
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
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
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
Supervision
Availability
- Mr Chris James is:
- Available for supervision
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Media
Enquiries
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