5 citations · 11 across the 3 of their papers we have counts for
13 papers
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…
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support set. Distinct from previous fe…
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…
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.
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…
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…