Articles, Papers, Talks

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 – July 2023

Patton, P.T., Cheeseman, T., Abe, K., Yamaguchi, T., Reade, W., Southerland, K., Howard, A., Oleson, E.M., Allen, J.B., Ashe, E., Athayde, A., Baird, R.W., Basran, C., Cabrera, E., Calambokidis, J., Cardoso, J., Carroll, E.L., Cesario, A., Cheney, B.J., Corsi, E., Currie, J., Durban, J.W., Falcone, E.A., Fearnbach, H., Flynn, K., Franklin, T., Franklin, W., Vernazzani, B.G., Genov, T., Hill, M., Johnston, D.R., Keene, E.L., Mahaffy, S.D., McGuire, T.L., McPherson, L., Meyer, C., Michaud, R., Miliou, A., Orbach, D.N., Pearson, H.C., Rasmussen, M.H., Rayment, W.J., Rinaldi, C., Rinaldi, R., Siciliano, S., Stack, S., Tintore, B., Torres, L.G., Towers, J.R., Trotter, C., Tyson Moore, R., Weir, C.R., Wellard, W., Wells, R., Yano, K.M., Zaeschmar, J.R. and Bejder, L. (2023) ‘A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species’, in Methods in Ecology and Evolution, 00, 1-15. Available at: https://doi.org/10.1111/2041-210X.14167.

Publication – May 2023

Trotter, C., Peleja, F., Dotti, D. and de Santos, A., 2023. Human Body Shape Classification Based on a Single Image. Preprint. Available at: doi.org/10.48550/arXiv.2305.18480

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

Talk – March 2021

ML for Conservation: Who’s Fin is This?
NE: Tech

Article – February 2021

How To Train Your Siamese Neural Network
Towards Data Science

Publication – June 2020

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

Article – February 2020

Under the sea: Deep Learning in Marine Biology
Red Hat Research Quarterly

Publication – June 2019

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