Unsupervised learning of facial representations has gained increasing
at...
In recent years, many deep learning-based methods have been proposed to
...
Optical flow estimation aims to find the 2D dense motion field between t...
The video frame interpolation (VFI) model applies the convolution operat...
Diffusion models have demonstrated excellent performance in image genera...
Recent neural talking radiance field methods have shown great success in...
Survival analysis aims at modeling the relationship between covariates a...
In recent years, many convolutional neural network-based models are desi...
Image-based single-modality compression learning approaches have demonst...
Recent multi-view multimedia applications struggle between high-resoluti...
Under stereo settings, the performance of image JPEG artifacts removal c...
Recent studies of deep learning based stereo image super-resolution
(Ste...
Deep neural networks have greatly promoted the performance of single ima...
Affective Analysis is not a single task, and the valence-arousal value,
...
For video super-resolution, current state-of-the-art approaches either
p...
Supervised deep learning techniques have achieved great success in vario...