Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery. - William Andrew; Sion L. Hannuna; Neill W. Campbell; Tilo Burghardt (ICIP, 2016)

Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning. - William Andrew; Colin Greatwood; Tilo Burghardt (ICCV Workshops, 2017)

Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision. - William Andrew; Colin Greatwood; Tilo Burghardt (IROS, 2018)

Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference. - William Andrew; Colin Greatwood; Tilo Burghardt (IROS, 2019)

Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract). - William Andrew; Colin Greatwood; Tilo Burghardt (WACV Workshops, 2020)

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning. - William Andrew; Jing Gao; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (CoRR, 2020)

Visual identification of individual Holstein-Friesian cattle via deep metric learning. - William Andrew; Jing Gao; Siobhan Mullan; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (Comput. Electron. Agric., 2021)

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset. - Jing Gao; Tilo Burghardt; William Andrew; Andrew W. Dowsey; Neill W. Campbell (CoRR, 2021)

Universal bovine identification via depth data and deep metric learning. - Asheesh Sharma; Lucy Randewich; William Andrew; Sion L. Hannuna; Neill W. Campbell; Siobhan Mullan; Andrew W. Dowsey; Melvyn L. Smith; Mark F. Hansen; Tilo Burghardt (Comput. Electron. Agric., 2025)