no code implementations • 20 Jul 2022 • Zhenqiang Ying, Deepti Ghadiyaram, Alan Bovik
Video conferencing, which includes both video and audio content, has contributed to dramatic increases in Internet traffic, as the COVID-19 pandemic forced millions of people to work and learn from home.
no code implementations • 24 Mar 2022 • Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik
A number of studies have been directed towards understanding the perceptual characteristics of professionally generated gaming videos arising in gaming video streaming, online gaming, and cloud gaming.
1 code implementation • CVPR 2021 • Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan Bovik
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications.
Ranked #10 on Video Quality Assessment on LIVE-FB LSVQ (using extra training data)
no code implementations • 13 Jan 2020 • Zhenqiang Ying, Alan Bovik
Two networks are trained separately, and then are employed jointly to sequentially perform narrow-to-90{\deg} generation and 90{\deg}-to-180{\deg} generation.
2 code implementations • CVPR 2020 • Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan Bovik
Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily.
Ranked #4 on Video Quality Assessment on MSU SR-QA Dataset
1 code implementation • 11 Oct 2018 • Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas Li, Ge Li
Besides, we explore variants of SingleGAN for different tasks, including one-to-many domain translation, many-to-many domain translation and one-to-one domain translation with multimodality.
no code implementations • 26 Jun 2018 • Xiaoming Yu, Zhenqiang Ying, Thomas Li, Shan Liu, Ge Li
Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network.
no code implementations • 2 Nov 2017 • Zhenqiang Ying, Ge Li, Wen Gao
Inspired by human visual system, we design a multi-exposure fusion framework for low-light image enhancement.
no code implementations • 3 Aug 2017 • Zhenqiang Ying, Ge Li, Sixin Wen, Guozhen Tan
This paper is concerned with the detection and correction of the offset between the intersection and origin.
no code implementations • 23 Aug 2016 • Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao LI, Ge Li
In this paper, we address the problem of searching action proposals in unconstrained video clips.