Dual encoding for abstractive text summarization (2018)
Journal Article

Recurrent Neural Network (RNN) based sequence-to-sequence attentional models have proven effective in abstractive text summarization. In this paper, we model abstractive text summarization using a dual encoding model. Different from the previous work... Read More about Dual encoding for abstractive text summarization.

Broad-leaf weed detection in pasture (2018)
Presentation / Conference Contribution

Weed control in pasture is a challenging problem that can be expensive and environmentally unfriendly. This paper proposes a novel method for recognition of broad-leaf weeds in pasture such that precision weed control can be achieved with reduced her... Read More about Broad-leaf weed detection in pasture.

Teaching machines to ask questions (2018)
Presentation / Conference Contribution

We propose a novel neural network model that aims to generate diverse and human-like natural language questions. Our model not only directly captures the variability in possible questions by using a latent variable, but also generates certain types o... Read More about Teaching machines to ask questions.

Energy expenditure estimation using visual and inertial sensors (2017)
Journal Article

© The Institution of Engineering and Technology 2017. Deriving a person's energy expenditure accurately forms the foundation for tracking physical activity levels across many health and lifestyle monitoring tasks. In this study, the authors present a... Read More about Energy expenditure estimation using visual and inertial sensors.

Multiple human tracking in RGB-depth data: A survey (2017)
Journal Article

© The Institution of Engineering and Technology. Multiple human tracking (MHT) is a fundamental task in many computer vision applications. Appearance-based approaches, primarily formulated on RGB data, are constrained and affected by problems arising... Read More about Multiple human tracking in RGB-depth data: A survey.

DS-KCF: a real-time tracker for RGB-D data (2016)
Journal Article

© 2016 The Author(s) We propose an RGB-D single-object tracker, built upon the extremely fast RGB-only KCF tracker that is able to exploit depth information to handle scale changes, occlusions, and shape changes. Despite the computational demands of... Read More about DS-KCF: a real-time tracker for RGB-D data.

A comparative study of pose representation and dynamics modelling for online motion quality assessment (2016)
Journal Article

© 2015 The Authors. Published by Elsevier Inc. Quantitative assessment of the quality of motion is increasingly in demand by clinicians in healthcare and rehabilitation monitoring of patients. We study and compare the performances of different pose r... Read More about A comparative study of pose representation and dynamics modelling for online motion quality assessment.

Robust deformable shape reconstruction from monocular video with manifold forests (2016)
Journal Article

© 2016, The Author(s). Existing approaches to recover structure of 3D deformable objects and camera motion parameters from an uncalibrated images assume the object’s shape could be modelled well by a linear subspace. These methods have been proven ef... Read More about Robust deformable shape reconstruction from monocular video with manifold forests.

Is the 2D unlabelled data adequate for facial expression recognition? (2016)
Journal Article

Automatic facial expression recognition is one of the important challenges for computer vision and machine learning. Despite the fact that many successes have been achieved in the recent years, several important but unresolved problems still remain.... Read More about Is the 2D unlabelled data adequate for facial expression recognition?.

Bridging eHealth and the Internet of Things: The SPHERE Project (2015)
Journal Article

There is a widely-accepted need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to a number of studies in this area. This paper presents an overview of this rapidly grow... Read More about Bridging eHealth and the Internet of Things: The SPHERE Project.

3D convolutional neural network for home monitoring using low resolution thermal-sensor array
Presentation / Conference Contribution

The recognition of daily actions, such as walking, sitting or standing, in the home is informative for assisted living, smart homes and general health care. A variety of actions in complex scenes can be recognised using visual information. However ca... Read More about 3D convolutional neural network for home monitoring using low resolution thermal-sensor array.