activity
20202025
most citedTowards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach

50 citations · 241 across the 52 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 5 cited

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Haoning Wu, Erli Zhang, Liang Liao +6

The rapid increase in user-generated-content (UGC) videos calls for the development of effective video quality assessment (VQA) algorithms. However, the objective of the UGC-VQA pr…

cs.CV2022★ 1 cited

Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment

Haoning Wu, Chaofeng Chen, Liang Liao +5

The increased resolution of real-world videos presents a dilemma between efficiency and accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original reso…

cs.CV2022★ 2 cited

Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment

Liang Liao, Kangmin Xu, Haoning Wu +4

With the rapid growth of in-the-wild videos taken by non-specialists, blind video quality assessment (VQA) has become a challenging and demanding problem. Although lots of efforts…

cs.CV2022★ 5 cited

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Haoning Wu, Chaofeng Chen, Jingwen Hou +5

Current deep video quality assessment (VQA) methods are usually with high computational costs when evaluating high-resolution videos. This cost hinders them from learning better vi…

cs.CV2022★ 3 cited

DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment

Haoning Wu, Chaofeng Chen, Liang Liao +4

The temporal relationships between frames and their influences on video quality assessment (VQA) are still under-studied in existing works. These relationships lead to two importan…