Throughout my PhD I have been lucky enough to publish articles, research papers, and present talks about my research. This page gives a timeline of them, with links if available.
Publication – December 2022
Trotter, C., Wright, N., McGough, A.S., Sharpe, M., Cheney, B., Civil, M.A., Moore, R.T., Allen, J. and Berggren, P., 2022. Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. In 2022 IEEE International Conference on Big Data (Big Data). IEEE. Available at: doi.org/10.48550/arXiv.2212.03646
Talk – December 2022
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology IEEE Big Data 2022
Conference Poster – July 2022
Automatic Photo-Identification of Cetaceans Using Deep Learning 24th Biennial Conference on the Biology of Marine Mammals
Publication – December 2021
Curry, R., Trotter, C. and McGough, A.S., 2021. Application of deep learning to camera trap data for ecologists in planning/engineering–Can captivity imagery train a model which generalises to the wild?. In 2021 IEEE International Conference on Big Data (Big Data). IEEE. Available at: doi.org/10.1109/BigData52589.2021.9671661
Trotter, C., Atkinson, G., Sharpe, M., Richardson, K., McGough, A.S., Wright, N., Burville, B. and Berggren, P., 2020. NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation. In 2020 7th Workshop on Fine-Grained Visual Categorization, CVPR. Available at: arxiv.org/abs/2005.13359
Talk – March 2020
AI in Extreme Environments Data Science Perspectives, The Alan Turing Institute
Trotter, C., Atkinson, G., Sharpe, M., McGough, A.S., Wright, N. and Berggren, P., 2019. The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. In 2019 6th Workshop on Fine-Grained Visual Categorization, CVPR. Available at: arxiv.org/abs/1908.02669
