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20182026
most citedNeural Image Compression via Non-Local Attention Optimization and Improved Context Modeling

325 citations · 986 across the 13 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

eess.IV2019★ 3 cited

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…

eess.IV2019★ 325 cited

Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling

Tong Chen, Haojie Liu, Zhan Ma +3

This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual networ…

cs.CV2019★ 236 cited

Learned Point Cloud Geometry Compression

Jianqiang Wang, Hao Zhu, Zhan Ma +3

This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep…

eess.IV2019★ 321 cited

Non-local Attention Optimized Deep Image Compression

Haojie Liu, Tong Chen, Peiyao Guo +4

This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure. O…

eess.IV2019★ 3 cited

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…

eess.IV2019★ 8 cited

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…

eess.IV2019★ 10 cited

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…