Nick Birbilis

According to our database, Nick Birbilis authored at least 5 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Semi-supervised Anomaly Detection Using VQ-VAE.

Renuka Sharma, Hengcan Shi, Jianfei Cai, Suyash P. Awate, Nick Birbilis

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Searching for chromate replacements using natural language processing and machine learning algorithms.

Shujing Zhao, Nick Birbilis

CoRR, 2022

RustSEG - Automated segmentation of corrosion using deep learning.

B. Burton, Will T. Nash, Nick Birbilis

CoRR, 2022

2019

Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning.

Will T. Nash, C. J. Powell, Tom Drummond, Nick Birbilis

CoRR, 2019

2018

Quantity beats quality for semantic segmentation of corrosion in images.

Will Nash, Tom Drummond, Nick Birbilis

CoRR, 2018