23 citations · 35 across the 8 of their papers we have counts for
5 papers · 1 filter
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment
Hongbo Liu, Mingda Wu, Kun Yuan +5
Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for curr…
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment
Kun Yuan, Zishang Kong, Chuanchuan Zheng +2
Video Quality Assessment (VQA), which aims to predict the perceptual quality of a video, has attracted raising attention with the rapid development of streaming media technology, s…
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
Guandu Liu, Yukang Ding, Mading Li +3
Look-up table(LUT)-based methods have shown the great efficacy in single image super-resolution (SR) task. However, previous methods ignore the essential reason of restricted recep…
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +1
Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to high-level…
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +2
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality of a single image, whose performance has been improved by deep learning-based methods in…