7 citations · 8 across the 4 of their papers we have counts for
5 papers
Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
Zhongling Wang, Raymond Zhou, Shahrukh Athar +2
Over the past decades, numerous Image Quality Assessment (IQA) models have emerged, aiming to predict the perceptual quality of images. However, individual models are often biased…
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Aditi Sundararaman, Amogh Adishesha, Andrew Jaegle +10
From professional filmmaking to user-generated content, creators and consumers have long recognized that the power of video depends on the harmonious integration of what we hear (t…
Degraded Reference Image Quality Assessment
Shahrukh Athar, Zhou Wang
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely…
Deep Image Debanding
Raymond Zhou, Shahrukh Athar, Zhongling Wang +1
Banding or false contour is an annoying visual artifact whose impact is even more pronounced in ultra high definition, high dynamic range, and wide colour gamut visual content, whi…
Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
Shahrukh Athar, Zhongling Wang, Zhou Wang
The enormous space and diversity of natural images is usually represented by a few small-scale human-rated image quality assessment (IQA) datasets. This casts great challenges to d…