activity
20162023
most citedReducing Complexity of HEVC: A Deep Learning Approach

331 citations · 2.4k across the 33 of their papers we have counts for

collaborators

33 papers

cs.CV2023

Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching

Junpeng Jing, Jiankun Li, Pengfei Xiong +7

Correlation based stereo matching has achieved outstanding performance, which pursues cost volume between two feature maps. Unfortunately, current methods with a fixed model do not…

eess.IV2022

DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus

Qunliang Xing, Mai Xu, Xin Deng +1

Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing qu…

cs.CV2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Ren Yang, Radu Timofte, Meisong Zheng +75

This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…

cs.CV2022

Progressive Training of A Two-Stage Framework for Video Restoration

Meisong Zheng, Qunliang Xing, Minglang Qiao +4

As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts. Among v…

cs.CV2021

Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video

Li Yang, Mai Xu, Shengxi Li +2

Blind visual quality assessment (BVQA) on 360{\textdegree} video plays a key role in optimizing immersive multimedia systems. When assessing the quality of 360{\textdegree} video,…

cs.CV2021★ 2 cited

Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos

Minglang Qiao, Yufan Liu, Mai Xu +4

Visual and audio events simultaneously occur and both attract attention. However, most existing saliency prediction works ignore the influence of audio and only consider vision mod…