224 citations · 526 across the 16 of their papers we have counts for
16 papers
Offline and Online Optical Flow Enhancement for Deep Video Compression
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li +3
Video compression relies heavily on exploiting the temporal redundancy between video frames, which is usually achieved by estimating and using the motion information. The motion in…
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
Xihua Sheng, Li Li, Dong Liu +1
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to…
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
Xihua Sheng, Li Li, Dong Liu +1
Geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, e…
Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li +3
We address end-to-end learned video compression with a special focus on better learning and utilizing temporal contexts. For temporal context mining, we propose to store not only t…
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
Dongmei Xue, Haichuan Ma, Li Li +2
With the rapid development of whole brain imaging technology, a large number of brain images have been produced, which puts forward a great demand for efficient brain image compres…
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma, Dong Liu, Cunhui Dong +2
Lossy image compression is a many-to-one process, thus one bitstream corresponds to multiple possible original images, especially at low bit rates. However, this nature was seldom…
Video-based Point Cloud Compression Artifact Removal
Anique Akhtar, Wen Gao, Li Li +3
Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-b…
Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features
Yangfan Sun, Li Li, Zhu Li +1
Generally, adaptive bitrates for variable Internet bandwidths can be obtained through multi-pass coding. Referenceless prediction-based methods show practical benefits compared wit…
Video-based compression for plenoptic point clouds
Li Li, Zhu Li, Shan Liu +1
The plenoptic point cloud that has multiple colors from various directions, is a more complete representation than the general point cloud that usually has only one color. It is mo…
Residual-Guided In-Loop Filter Using Convolution Neural Network
Wei Jia, Li Li, Zhu Li +2
The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts,…
Occupancy-map-based rate distortion optimization for video-based point cloud compression
Li Li, Zhu Li, Shan Liu +1
The state-of-the-art video-based point cloud compression scheme projects the 3D point cloud to 2D patch by patch and organizes the patches into frames to compress them using the ef…
Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video
Li Li, Zhu Li, Xiang Ma +2
The polyhedron projection for 360-degree video is becoming more and more popular since it can lead to much less geometry distortion compared with the equirectangular projection. Ho…
An Efficient Four-Parameter Affine Motion Model for Video Coding
Li Li, Houqiang Li, Dong Liu +4
In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity.…
Projection based advanced motion model for cubic mapping for 360-degree video
Li Li, Zhu Li, Madhukar Budagavi +1
This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video. Since the irregular motion is mainly caused by th…
Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding
Yue Li, Dong Liu, Houqiang Li +4
Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block…
Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression
Li Li, Zhu Li, Bin Li +2
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light…