Search Results for author: Chenlong He

Found 2 papers, 2 papers with code

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

1 code implementation • 21 Aug 2024 • Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitry Vatolin, Radu Timofte, Ziheng Jia, ZiCheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu

The challenge aimed to evaluate the performance of VQA methods on a diverse dataset of 459 videos, encoded with 14 codecs of various compression standards (AVC/H. 264, HEVC/H. 265, AV1, and VVC/H. 266) and containing a comprehensive collection of compression artifacts.

Image Manipulation valid +3

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Code

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results

1 code implementation • 24 Apr 2024 • Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, ZiCheng Zhang, HaoNing Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng

The performance of the top-5 submissions is reviewed and provided here as a survey of diverse deep models for efficient video quality assessment of user-generated content.

Video Quality Assessment Visual Question Answering (VQA)

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