2 citations · 5 across the 5 of their papers we have counts for
5 papers
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Xuelin Liu +3
Omnidirectional image quality assessment (OIQA) has been one of the hot topics in IQA with the continuous development of VR techniques, and achieved much success in the past few ye…
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling
Jiebin Yan, Lei Wu, Yuming Fang +3
With the rapid development of multimedia processing and deep learning technologies, especially in the field of video understanding, video quality assessment (VQA) has achieved sign…
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
Yixuan Li, Xuelin Liu, Xiaoyang Wang +4
The ability to distinguish whether an image is generated by artificial intelligence (AI) is a crucial ingredient in human intelligence, usually accompanied by a complex and dialect…
2AFC Prompting of Large Multimodal Models for Image Quality Assessment
Hanwei Zhu, Xiangjie Sui, Baoliang Chen +4
While abundant research has been conducted on improving high-level visual understanding and reasoning capabilities of large multimodal models~(LMMs), their visual quality assessmen…
Perceptual Quality Assessment of 360 Images Based on Generative Scanpath Representation
Xiangjie Sui, Hanwei Zhu, Xuelin Liu +3
Despite substantial efforts dedicated to the design of heuristic models for omnidirectional (i.e., 360) image quality assessment (OIQA), a conspicuous gap remains due to th…