Accurate 3D face shape estimation is an enabling technology with applica...
We present the first 3D morphable modelling approach, whereby 3D face sh...
We present a progressive 3D registration framework that is a highly-effi...
Rather than regressing gaze direction directly from images, we show that...
Deepfakes are a form of synthetic image generation used to generate fake...
The application of deep learning to 3D point clouds is challenging due t...
The ear, as an important part of the human head, has received much less
...
Given that convolutional neural networks extract features via learning
c...
Three-dimensional Morphable Models (3DMMs) are powerful statistical tool...
Loss functions are error metrics that quantify the difference between a
...
Deep neural networks have established themselves as the state-of-the-art...
Three-dimensional Morphable Models (3DMMs) are powerful statistical tool...
We propose a novel technique to incorporate attention within convolution...
We investigate whether ResNet architectures can outperform more traditio...
We present a new fully-automatic non-rigid 3D shape registration (morphi...
Three-dimensional models of craniofacial variation over the general
popu...