175 citations · 179 across the 5 of their papers we have counts for
5 papers
Cattle-CLIP: A Multimodal Framework for Dairy Cattle Behaviour Recognition from Video
Huimin Liu, Jing Gao, Daria Baran +4
Monitoring cattle behaviour provides valuable insights into animal health, productivity and welfare. However, robust behaviour recognition in real-world farm environments remains c…
Deep Multimodal Fusion for Generalizable Person Re-identification
Suncheng Xiang, Hao Chen, Wei Ran +4
Person re-identification plays a significant role in realistic scenarios due to its various applications in public security and video surveillance. Recently, leveraging the supervi…
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
Jing Gao, Tilo Burghardt, Neill W. Campbell
We describe a practically evaluated approach for training visual cattle ID systems for a whole farm requiring only ten minutes of labelling effort. In particular, for the task of a…
Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
Jing Gao, Tilo Burghardt, William Andrew +2
In this paper we publish the largest identity-annotated Holstein-Friesian cattle dataset Cows2021 and a first self-supervision framework for video identification of individual anim…
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning
William Andrew, Jing Gao, Siobhan Mullan +3
Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Turing's reaction-diffusion systems. This work takes…