6 citations · 6 across the 1 of their papers we have counts for
5 papers · 1 filter
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo, Dong Xu, Guo Lu
In this paper, we propose a new deep image compression framework called Complexity and Bitrate Adaptive Network (CBANet), which aims to learn one single network to support variable…
FVC: A New Framework towards Deep Video Compression in Feature Space
Zhihao Hu, Guo Lu, Dong Xu
Learning based video compression attracts increasing attention in the past few years. The previous hybrid coding approaches rely on pixel space operations to reduce spatial and tem…
Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu, Chunlei Cai, Xiaoyun Zhang +4
Recently, learning based video compression methods attract increasing attention. However, the previous works suffer from error propagation due to the accumulation of reconstructed…
A Unified End-to-End Framework for Efficient Deep Image Compression
Jiaheng Liu, Guo Lu, Zhihao Hu +1
Image compression is a widely used technique to reduce the spatial redundancy in images. Recently, learning based image compression has achieved significant progress by using the p…
DVC: An End-to-end Deep Video Compression Framework
Guo Lu, Wanli Ouyang, Dong Xu +3
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking adv…