331 citations · 1.2k across the 6 of their papers we have counts for
6 papers
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
Qunliang Xing, Mai Xu, Tianyi Li +1
Lossy image compression is pervasively conducted to save communication bandwidth, resulting in undesirable compression artifacts. Recently, extensive approaches have been proposed…
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
Tianyi Li, Mai Xu, Ren Yang +1
High efficiency video coding (HEVC) has brought outperforming efficiency for video compression. To reduce the compression artifacts of HEVC, we propose a DenseNet based approach as…
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing, Zhenyu Guan, Mai Xu +3
The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the qu…
Reducing Complexity of HEVC: A Deep Learning Approach
Mai Xu, Tianyi Li, Zulin Wang +3
High Efficiency Video Coding (HEVC) significantly reduces bit-rates over the proceeding H.264 standard but at the expense of extremely high encoding complexity. In HEVC, the quad-t…
Enhancing Quality for HEVC Compressed Videos
Ren Yang, Mai Xu, Tie Liu +2
The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to generate video streams over the Internet. However, HEVC compressed videos may incur severe…
Assessing Visual Quality of Omnidirectional Videos
Mai Xu, Chen Li, Zulin Wang +2
In contrast with traditional video, omnidirectional video enables spherical viewing direction with support for head-mounted displays, providing an interactive and immersive experie…