34 citations · 67 across the 13 of their papers we have counts for
9 papers · 1 filter
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Haojie Liu, Ming Lu, Zhiqi Chen +3
Recent years have witnessed rapid advances in learnt video coding. Most algorithms have solely relied on the vector-based motion representation and resampling (e.g., optical flow b…
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu, Ming Lu, Zhan Ma +4
Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H.264/AVC and H.265/HEVC.…
Object-Based Image Coding: A Learning-Driven Revisit
Qi Xia, Haojie Liu, Zhan Ma
The Object-Based Image Coding (OBIC) that was extensively studied about two decades ago, promised a vast application perspective for both ultra-low bitrate communication and high-l…
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…
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
Ming Cheng, Zhan Ma, M. Salman Asif +4
This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rat…
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…