most citedQuality-aware Pre-trained Models for Blind Image Quality Assessment

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20241 cited

KVQ: Kwai Video Quality Assessment for Short-form Videos

Yiting Lu, Xin Li, Yajing Pei +6

Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation…

cs.CV20231 cited

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…

cs.CV2023

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…

cs.CV20231 cited

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…

cs.CV20236 cited

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…