African penguins (Spheniscus demersus) are an endangered species. Little...
Visual as well as genetic biometrics are routinely employed to identify
...
This paper presents an investigation into long-tail video recognition. W...
This paper presents a deep learning framework for medical video segmenta...
We propose the first metric learning system for the recognition of great...
We propose Video-TransUNet, a deep architecture for instance segmentatio...
We propose a novel approach to multimodal sensor fusion for Ambient Assi...
This paper combines deep learning techniques for species detection, 3D m...
We propose a novel end-to-end curriculum learning approach that leverage...
We describe a practically evaluated approach for training visual cattle ...
We apply deep metric learning for the first time to the prob-lem of
clas...
Visuals captured by high-flying aerial drones are increasingly used to a...
Data acquisition in animal ecology is rapidly accelerating due to inexpe...
In this paper we publish the largest identity-annotated Holstein-Friesia...
We propose a novel approach to few-shot action recognition, finding
temp...
We put forward a video dataset with 5k+ facial bounding box annotations
...
We propose a first great ape-specific visual behaviour recognition syste...
In this paper we show that learning video feature spaces in which tempor...
Meta-learning approaches have addressed few-shot problems by finding
ini...
Holstein Friesian cattle exhibit individually-characteristic black and w...
We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS)
...
We propose the first multi-frame video object detection framework traine...
This paper describes a computationally-enhanced M100 UAV platform with a...
This paper describes DeepKey, an end-to-end deep neural architecture cap...
We propose a novel deep fusion architecture, CaloriNet, for the online
e...
We present a deep person re-identification approach that combines
semant...
The SPHERE project has developed a multi-modal sensor platform for healt...
This paper discusses the automated visual identification of individual g...
We present a new framework for vision-based estimation of calorific
expe...
Multiple human tracking (MHT) is a fundamental task in many computer vis...