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A current list of publications and citation stats are available on Google Scholar.

* Co-first or co-last authorship


Tuia D*, Kellenberger B*, Beery S*, Costelloe BR*, Zuffi S, Risse B, Mathis A, Mathis M, Van Langevelde F, Burghardt T, Kays R, Klinck H, Wikelski M, Couzin ID, van Horn G, Crofoot M, Stewart C, Berger-Wolf T. 2022. Perspectives in machine learning for wildlife conservation. Nature Communications 13: 792. Open access


Graving JM, Chae D, Naik H, Li L, Koger B, Costelloe BR, Couzin ID. 2019. DeepPoseKit: a software toolkit for fast and robust animal pose estimation using deep learning. eLife 8: e47994. Open access


Costelloe BR and Rubenstein DI. 2018. Temporal structuring of vigilance behaviour by female Thomson’s gazelles with hidden fawns. Animal Behaviour 145: 87-97. PDF

Costelloe BR. 2018. Participation by a male Grant’s gazelle in the defence of a fawn. African Journal of Ecology 56: 378-380.


Costelloe BR and Rubenstein DI. 2015. Coping with transition: fawn risk and maternal behavioral changes at the end of the hiding phase. Animal Behaviour 109: 217-225. PDF


Roberts BA and Rubenstein DI. 2014. Maternal strategies for mitigating neonate predation risk during the postpartum period in Thomson’s gazelle. Behavior 151: 1229-1248. PDF


Roberts BA. 2012. An attack by a warthog (Phacochoerus africanus) on a newborn Thomson’s gazelle (Gazella thomsonii). African Journal of Ecology 50: 507-508. PDF

Roberts BA. 2012. Perinatal behavior of a wild Grevy’s zebra (Equus grevyi) mare and foal. Journal of Ethology 30: 205-209. PDF

Papers in progress

Koger B, Hurme E, Costelloe BR, O’Mara MT, Wikelski M, Kays R, Dechmann DKN. An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies. In revision.

Koger B, Deshpande A, Kerby JT, Graving JM, Costelloe BR*, Couzin ID*. Multi-animal behavioral tracking and environmental reconstruction using drones and computer vision in the wild. In review. Preprint available on bioRxiv

Chen J, Hu M, Costelloe BR, Beery S, Rohrbach A, Elhoseiny M. MammalNet: A large-scale benchmark for mammal recognition and behavior understanding. Submitted.