research
∙
06/15/2021
Perceptually-inspired super-resolution of compressed videos
Spatial resolution adaptation is a technique which has often been employ...
share
research
∙
11/18/2020
CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
We propose a new Generative Adversarial Network for Compressed Video qua...
research
∙
09/16/2020
Video Compression with CNN-based Post Processing
In recent years, video compression techniques have been significantly ch...
research
∙
07/29/2020
Video compression with low complexity CNN-based spatial resolution adaptation
It has recently been demonstrated that spatial resolution adaptation can...
research
∙
07/14/2020
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
In this paper, we propose a novel convolutional neural network (CNN) arc...
research
∙
03/30/2020
BVI-DVC: A Training Database for Deep Video Compression
Deep learning methods are increasingly being applied in the optimisation...
research
∙
07/22/2019
Understanding the Political Ideology of Legislators from Social Media Images
In this paper, we seek to understand how politicians use images to expre...
research
∙
06/08/2018
Generating Image Sequence from Description with LSTM Conditional GAN
Generating images from word descriptions is a challenging task. Generati...
research
∙
05/09/2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Using a layered representation for motion estimation has the advantage o...
research
∙
12/02/2017
