Navigating in the latent space of StyleGAN has shown effectiveness for f...
Cross-corpus speech emotion recognition (SER) seeks to generalize the ab...
Online continual learning (CL) studies the problem of learning continuou...
Recent works for face editing usually manipulate the latent space of Sty...
Noisy annotations such as missing annotations and location shifts often ...
Learning from noisy data is a challenging task that significantly degene...
To minimize the impact of age variation on face recognition, age-invaria...
There are considerable interests in automatic stroke lesion segmentation...
Most conventional crowd counting methods utilize a fully-supervised lear...
Existing deep clustering methods rely on contrastive learning for
repres...
LDCT has drawn major attention in the medical imaging field due to the
p...
Age progression and regression aim to synthesize photorealistic appearan...
To minimize the effects of age variation in face recognition, previous w...
Although impressive results have been achieved for age progression and
r...
Face aging is to render a given face to predict its future appearance, w...
Face aging is of great importance for cross-age recognition and
entertai...