10 citations · 21 across the 3 of their papers we have counts for
5 papers
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Haojie Liu, Han shen, Lichao Huang +3
Traditional video compression technologies have been developed over decades in pursuit of higher coding efficiency. Efficient temporal information representation plays a key role i…
Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization
Chao Huang, Haojie Liu, Tong Chen +2
We propose a MultiScale AutoEncoder(MSAE) based extreme image compression framework to offer visually pleasing reconstruction at a very low bitrate. Our method leverages the "prior…
Gated Context Model with Embedded Priors for Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo +2
A deep image compression scheme is proposed in this paper, offering the state-of-the-art compression efficiency, against the traditional JPEG, JPEG2000, BPG and those popular learn…
Neural Video Compression using Spatio-Temporal Priors
Haojie Liu, Tong Chen, Ming Lu +2
The pursuit of higher compression efficiency continuously drives the advances of video coding technologies. Fundamentally, we wish to find better "predictions" or "priors" that are…
Deep Image Compression via End-to-End Learning
Haojie Liu, Tong Chen, Qiu Shen +2
We present a lossy image compression method based on deep convolutional neural networks (CNNs), which outperforms the existing BPG, WebP, JPEG2000 and JPEG as measured via multi-sc…