An Omnidirectional Videos Quality Assessment Method Using Salient Object Information. - Kai Jia; Zelu Qi; Yunchao Xie; Da Pan 001; Shuqi Wang; Xin Xiong; Fei Zhao; Yichun Zhang; Tianyu Liang (IFTC (2), 2023)

CCDaS: A Benchmark Dataset for Cartoon Character Detection in Application Scenarios. - Zelu Qi; Da Pan 001; Tianyi Niu; Zefeng Ying; Ping Shi 001 (IFTC (2), 2023)

Bridge the gap between practical application scenarios and cartoon character detection: A benchmark dataset and deep learning model. - Zelu Qi; Da Pan 001; Tianyi Niu; Zefeng Ying; Ping Shi 001 (Displays, 2024)

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. - Xiaohong Liu 001; Xiongkuo Min; Qiang Hu 003; Xiaoyun Zhang 001; Jie Guo; Guangtao Zhai; Shushi Wang; Yingjie Zhou; Lu Liu 005; Jingxin Li; Liu Yang; Farong Wen; et al. (CVPR Workshops, 2025)

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model. - Zelu Qi; Ping Shi 001; Chaoyang Zhang; Shuqi Wang; Fei Zhao; Da Pan 001; Zefeng Ying (CVPR Workshops, 2025)

Comprehensive Subjective and Objective Evaluation Method for Text-generated Video. - Zelu Qi; Ping Shi 001; Shuqi Wang; Zhaoyang Zhang; Zefeng Ying; Da Pan 001 (CoRR, 2025)

Research on Audio-Visual Quality Assessment Dataset and Method for User-Generated Omnidirectional Video. - Fei Zhao; Da Pan 001; Zelu Qi; Ping Shi 001 (CoRR, 2025)