activity
20162026
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations · 1.3k across the 48 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 3 cited

A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments

Otto Brookes, Tilo Burghardt

We put forward a video dataset with 5k+ facial bounding box annotations across a troop of 7 western lowland gorillas at Bristol Zoo Gardens. Training on this dataset, we implement…

cs.CV2020★ 3 cited

Visual Recognition of Great Ape Behaviours in the Wild

Faizaan Sakib, Tilo Burghardt

We propose a first great ape-specific visual behaviour recognition system utilising deep learning that is capable of detecting nine core ape behaviours.

cs.CV2020★ 5 cited

Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning

Xinyu Yang, Majid Mirmehdi, Tilo Burghardt

In this paper we show that learning video feature spaces in which temporal cycles are maximally predictable benefits action classification. In particular, we propose a novel learni…

cs.CV2020

Meta-Learning with Context-Agnostic Initialisations

Toby Perrett, Alessandro Masullo, Tilo Burghardt +2

Meta-learning approaches have addressed few-shot problems by finding initialisations suited for fine-tuning to target tasks. Often there are additional properties within training d…

cs.CV2020★ 175 cited

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…