Ninghang Hu

TL;DR: A framework using Deep Neural Networks (DNNs) to obtain an accurate light source estimator to achieve color constancy as a DNN-based regression approach to estimate the color of the light source.

TL;DR: A novel latent discriminative model for human activity recognition that outperforms the state-of-the-art approach by over 5% in both precision and recall, while the model is more efficient in computation.

TL;DR: The ACCOMPANY project focuses on home companion technologies and issues surrounding technology development for assistive purposes, divided into multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, and monitoring persons’ activities at home.

TL;DR: The proposed model jointly learns the age and expression by introducing a new graphical model with a latent layer between the age/expression labels and the features that captures the face changes which induce the aging and expression appearance, and thus obtaining expression-invariant age estimation.

TL;DR: The ACCOMPANY project is presented, a pan-European project which focuses on home companion technologies which aims to progress beyond the state of the art in multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, monitoring persons and chores at home, and technological integration of these multiple approaches on an existing robotic platform.