8 citations · 12 across the 5 of their papers we have counts for
6 papers
Human vs Objective Evaluation of Colourisation Performance
Seán Mullery, Paul F. Whelan
Automatic colourisation of grey-scale images is the process of creating a full-colour image from the grey-scale prior. It is an ill-posed problem, as there are many plausible colou…
A spatial hue similarity measure for assessment of colourisation
Seán Mullery, Paul F. Whelan
Automatic colourisation of grey-scale images is an ill-posed multi-modal problem. Where full-reference images exist, objective performance measures rely on pixel-difference techniq…
Batch Normalization in the final layer of generative networks
Sean Mullery, Paul F. Whelan
Generative Networks have shown great promise in generating photo-realistic images. Despite this, the theory surrounding them is still an active research area. Much of the useful wo…
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification
Vincent Andrearczyk, Paul F. Whelan
Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT is impor…
Texture segmentation with Fully Convolutional Networks
Vincent Andrearczyk, Paul F. Whelan
In the last decade, deep learning has contributed to advances in a wide range computer vision tasks including texture analysis. This paper explores a new approach for texture segme…
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Vincent Andrearczyk, Paul F. Whelan
Deep learning has established many new state of the art solutions in the last decade in areas such as object, scene and speech recognition. In particular Convolutional Neural Netwo…