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ORCIDGervase Tuxworth
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2020 – today
- 2025
[j2]Dong Bao
, Jun Zhou, Gervase Tuxworth, Jue Zhang, Yongsheng Gao:
Hierarchical Context Learning of object components for unsupervised semantic segmentation. Pattern Recognit. 167: 111713 (2025)- [i1]Zhongyi Zhang, Julie A. Hides, Enrico De Martino, Abdul Joseph Fofanah, Gervase Tuxworth:
nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles. CoRR abs/2510.05555 (2025) - 2024
- [j1]Richard N. Turner-Jones, Gervase Tuxworth, Robert A. Haubt, Lynley Wallis:
Digitising the Deep Past: Machine Learning for Rock Art Motif Classification in an Educational Citizen Science Application. ACM Journal on Computing and Cultural Heritage 17(4): 64:1-64:19 (2024) - 2023
- [c6]Lutfun Nahar, Md. Saiful Islam, Mohammad Awrangjeb, Rob Verhoeve, Gervase Tuxworth:
DeepCornerNet: A Deep Learning Approach for Automated Corner Grading in Trading Cards. DICTA 2023: 24-31 - 2022
- [c5]Dong Bao, Gervase Tuxworth, Jun Zhou:
Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning. WHISPERS 2022: 1-5 - 2020
- [c4]Mason C. Brown, Sharmistha Dey, Gervase Tuxworth:
Selection Factors determining the Hybrid Approach: a Preliminary Study. AMCIS 2020
2010 – 2019
- 2019
- [c3]Yoon Jin Park, Gervase Tuxworth, Jun Zhou:
Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study. ICIP 2019: 3437-3441 - 2010
- [c2]Gervase Tuxworth, Adrian Meedeniya, Michael Blumenstein:
Segmentation of Inter-neurons in Three Dimensional Brain Imagery. ACIVS (1) 2010: 145-152
2000 – 2009
- 2009
- [c1]Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein:
Automated classification of dopaminergic neurons in the rodent brain. IJCNN 2009: 81-88
Coauthor Index
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