64 citations · 134 across the 11 of their papers we have counts for
11 papers
Content Adaptive Latents and Decoder for Neural Image Compression
Guanbo Pan, Guo Lu, Zhihao Hu +1
In recent years, neural image compression (NIC) algorithms have shown powerful coding performance. However, most of them are not adaptive to the image content. Although several con…
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Zhihao Hu, Guo Lu, Jinyang Guo +3
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards…
Preprocessing Enhanced Image Compression for Machine Vision
Guo Lu, Xingtong Ge, Tianxiong Zhong +2
Recently, more and more images are compressed and sent to the back-end devices for the machine analysis tasks~(\textit{e.g.,} object detection) instead of being purely watched by h…
A Coding Framework and Benchmark towards Low-Bitrate Video Understanding
Yuan Tian, Guo Lu, Yichao Yan +3
Video compression is indispensable to most video analysis systems. Despite saving transportation bandwidth, it also deteriorates downstream video understanding tasks, especially at…
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…
VoxelContext-Net: An Octree based Framework for Point Cloud Compression
Zizheng Que, Guo Lu, Dong Xu
In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for both static and dynamic point cloud compression. Taking advantages of both octree based me…