activity
20172022
most citedA Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

248 citations · 283 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20223 cited

Subjective and Objective Analysis of Streamed Gaming Videos

Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck +3

The rising popularity of online User-Generated-Content (UGC) in the form of streamed and shared videos, has hastened the development of perceptual Video Quality Assessment (VQA) mo…

cs.CV20203 cited

180-degree Outpainting from a Single Image

Zhenqiang Ying, Alan Bovik

Presenting context images to a viewer's peripheral vision is one of the most effective techniques to enhance immersive visual experiences. However, most images only present a narro…

cs.CV201920 cited

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

Zhenqiang Ying, Haoran Niu, Praful Gupta +3

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 bil…

cs.CV2018

SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning

Xiaoming Yu, Xing Cai, Zhenqiang Ying +2

Image translation is a burgeoning field in computer vision where the goal is to learn the mapping between an input image and an output image. However, most recent methods require m…

cs.CV2018

Multi-Mapping Image-to-Image Translation with Central Biasing Normalization

Xiaoming Yu, Zhenqiang Ying, Thomas Li +2

Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network. To indicate the target domain for a one-to-many map…

cs.CV2017248 cited

A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

Zhenqiang Ying, Ge Li, Wen Gao

Low-light images are not conducive to human observation and computer vision algorithms due to their low visibility. Although many image enhancement techniques have been proposed to…