733 citations · 1.3k across the 48 of their papers we have counts for
6 papers · 1 filter
Holstein-Friesian Re-Identification using Multiple Cameras and Self-Supervision on a Working Farm
Phoenix Yu, Tilo Burghardt, Andrew W Dowsey +1
We present MultiCamCows2024, a farm-scale image dataset filmed across multiple cameras for the biometric identification of individual Holstein-Friesian cattle exploiting their uniq…
ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognition
Otto Brookes, Majid Mirmehdi, Hjalmar Kuhl +1
We show that chimpanzee behaviour understanding from camera traps can be enhanced by providing visual architectures with access to an embedding of text descriptions that detail spe…
Universal Bovine Identification via Depth Data and Deep Metric Learning
Asheesh Sharma, Lucy Randewich, William Andrew +7
This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associate…
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks
Chengxi Zeng, Tilo Burghardt, Alberto M Gambaruto
While many recent Physics-Informed Neural Networks (PINNs) variants have had considerable success in solving Partial Differential Equations, the empirical benefits of feature mappi…
Feature Mapping in Physics-Informed Neural Networks (PINNs)
Chengxi Zeng, Tilo Burghardt, Alberto M Gambaruto
In this paper, the training dynamics of PINNs with a feature mapping layer via the limiting Conjugate Kernel and Neural Tangent Kernel is investigated, shedding light on the conver…
PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition
Otto Brookes, Majid Mirmehdi, Colleen Stephens +24
We present the PanAf20K dataset, the largest and most diverse open-access annotated video dataset of great apes in their natural environment. It comprises more than 7 million frame…