Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment

Author:

Yuan Kun1ORCID,Kong Zishang2ORCID,Zheng Chuanchuan3ORCID,Sun Ming3ORCID,Wen Xing3ORCID

Affiliation:

1. Kuaishou Technology, Shenzhen, China

2. Peking University, Shenzhen, China

3. Kuaishou Technology, Peking, China

Publisher

ACM

Reference70 articles.

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2. Anurag Arnab , Mostafa Dehghani , Georg Heigold , Chen Sun , Mario Lucic , and Cordelia Schmid . 2021. ViViT: A Video Vision Transformer . In ICCV. IEEE , 6816--6826. Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, and Cordelia Schmid. 2021. ViViT: A Video Vision Transformer. In ICCV. IEEE, 6816--6826.

3. Gedas Bertasius , Heng Wang , and Lorenzo Torresani . 2021 . Is Space-Time Attention All You Need for Video Understanding? . In ICML , Vol. 139 . PMLR, 813--824. Gedas Bertasius, Heng Wang, and Lorenzo Torresani. 2021. Is Space-Time Attention All You Need for Video Understanding?. In ICML, Vol. 139. PMLR, 813--824.

4. Sebastian Bosse , Dominique Maniry , Thomas Wiegand , and Wojciech Samek . 2016. A deep neural network for image quality assessment . In ICIP. IEEE , 3773--3777. Sebastian Bosse, Dominique Maniry, Thomas Wiegand, and Wojciech Samek. 2016. A deep neural network for image quality assessment. In ICIP. IEEE, 3773--3777.

5. João Carreira and Andrew Zisserman . 2017. Quo Vadis , Action Recognition? A New Model and the Kinetics Dataset . In CVPR. IEEE Computer Society , 4724--4733. João Carreira and Andrew Zisserman. 2017. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. In CVPR. IEEE Computer Society, 4724--4733.

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