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20212023
most citedA Deep Learning based No-reference Quality Assessment Model for UGC Videos

240 citations · 451 across the 10 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 2 cited

DDH-QA: A Dynamic Digital Humans Quality Assessment Database

Zicheng Zhang, Yingjie Zhou, Wei Sun +4

In recent years, large amounts of effort have been put into pushing forward the real-world application of dynamic digital human (DDH). However, most current quality assessment rese…

cs.MM2022★ 3 cited

Deep Neural Network for Blind Visual Quality Assessment of 4K Content

Wei Lu, Wei Sun, Xiongkuo Min +7

The 4K content can deliver a more immersive visual experience to consumers due to the huge improvement of spatial resolution. However, existing blind image quality assessment (BIQA…

cs.MM2022

Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency

Wei Lu, Wei Sun, Wenhan Zhu +4

The intelligent video surveillance system (IVSS) can automatically analyze the content of the surveillance image (SI) and reduce the burden of the manual labour. However, the SIs m…

eess.IV2022★ 3 cited

A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps

Zicheng Zhang, Wei Sun, Xiongkuo Min +4

To support the application scenarios where high-resolution (HR) images are urgently needed, various single image super-resolution (SISR) algorithms are developed. However, SISR is…

cs.CV2022★ 240 cited

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

Wei Sun, Xiongkuo Min, Wei Lu +1

Quality assessment for User Generated Content (UGC) videos plays an important role in ensuring the viewing experience of end-users. Previous UGC video quality assessment (VQA) stud…

cs.CL2022★ 2 cited

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition

Xinyu Wang, Yongliang Shen, Jiong Cai +9

The MultiCoNER shared task aims at detecting semantically ambiguous and complex named entities in short and low-context settings for multiple languages. The lack of contexts makes…