activity
20192021
most citedA Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression

4 citations · 11 across the 6 of their papers we have counts for

collaborators

10 papers

eess.IV20212 cited

A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding

Jian Yue, Yanbo Gao, Shuai Li +2

In-loop filtering is used in video coding to process the reconstructed frame in order to remove blocking artifacts. With the development of convolutional neural networks (CNNs), CN…

cs.CV2020

CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

Yiming Zeng, Yue Qian, Zhiyu Zhu +3

Motivated by the intuition that one can transform two aligned point clouds to each other more easily and meaningfully than a misaligned pair, we propose CorrNet3D -- the first unsu…

eess.IV2020

Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

Qi Liu, Hui Yuan, Raouf Hamzaoui +3

In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate. One of the main challen…

eess.IV2020

Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression

Qi Liu, Hui Yuan, Junhui Hou +2

Rate distortion optimization plays a very important role in image/video coding. But for 3D point cloud, this problem has not been investigated. In this paper, the rate and distorti…

cs.CV20201 cited

Learning Light Field Angular Super-Resolution via a Geometry-Aware Network

Jing Jin, Junhui Hou, Hui Yuan +1

The acquisition of light field images with high angular resolution is costly. Although many methods have been proposed to improve the angular resolution of a sparsely-sampled light…

cs.CV2019

Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP

Hui Yuan, Huayong Fu, Ju Liu +2

Dynamic Adaptive Streaming over HTTP (DASH) has demonstrated to be an emerging and promising multimedia streaming technique, owing to its capability of dealing with the variability…