Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ji, Zhongpeng"'
Autor:
Zhang, Zhichao, Sun, Wei, Li, Xinyue, Li, Yunhao, Ge, Qihang, Jia, Jun, Zhang, Zicheng, Ji, Zhongpeng, Sun, Fengyu, Jui, Shangling, Min, Xiongkuo, Zhai, Guangtao
AI-driven video generation techniques have made significant progress in recent years. However, AI-generated videos (AGVs) involving human activities often exhibit substantial visual and semantic distortions, hindering the practical application of vid
Externí odkaz:
http://arxiv.org/abs/2411.16619
Autor:
Ge, Qihang, Sun, Wei, Zhang, Yu, Li, Yunhao, Ji, Zhongpeng, Sun, Fengyu, Jui, Shangling, Min, Xiongkuo, Zhai, Guangtao
The explosive growth of videos on streaming media platforms has underscored the urgent need for effective video quality assessment (VQA) algorithms to monitor and perceptually optimize the quality of streaming videos. However, VQA remains an extremel
Externí odkaz:
http://arxiv.org/abs/2408.14008
Autor:
Zhang, Zhichao, Li, Xinyue, Sun, Wei, Jia, Jun, Min, Xiongkuo, Zhang, Zicheng, Li, Chunyi, Chen, Zijian, Wang, Puyi, Ji, Zhongpeng, Sun, Fengyu, Jui, Shangling, Zhai, Guangtao
In recent years, artificial intelligence (AI) driven video generation has garnered significant attention due to advancements in stable diffusion and large language model techniques. Thus, there is a great demand for accurate video quality assessment
Externí odkaz:
http://arxiv.org/abs/2407.21408
Autor:
Sun, Wei, Zhang, Weixia, Jiang, Yanwei, Wu, Haoning, Zhang, Zicheng, Jia, Jun, Zhou, Yingjie, Ji, Zhongpeng, Min, Xiongkuo, Lin, Weisi, Zhai, Guangtao
Portrait images typically consist of a salient person against diverse backgrounds. With the development of mobile devices and image processing techniques, users can conveniently capture portrait images anytime and anywhere. However, the quality of th
Externí odkaz:
http://arxiv.org/abs/2405.08555
Autor:
Zhang, Zicheng, Wu, Haoning, Ji, Zhongpeng, Li, Chunyi, Zhang, Erli, Sun, Wei, Liu, Xiaohong, Min, Xiongkuo, Sun, Fengyu, Jui, Shangling, Lin, Weisi, Zhai, Guangtao
Recent advancements in Multi-modality Large Language Models (MLLMs) have demonstrated remarkable capabilities in complex high-level vision tasks. However, the exploration of MLLM potential in visual quality assessment, a vital aspect of low-level vis
Externí odkaz:
http://arxiv.org/abs/2312.15300
Autor:
Chen, Zijian, Sun, Wei, Wu, Haoning, Zhang, Zicheng, Jia, Jun, Ji, Zhongpeng, Sun, Fengyu, Jui, Shangling, Min, Xiongkuo, Zhai, Guangtao, Zhang, Wenjun
The proliferation of Artificial Intelligence-Generated Images (AGIs) has greatly expanded the Image Naturalness Assessment (INA) problem. Different from early definitions that mainly focus on tone-mapped images with limited distortions (e.g., exposur
Externí odkaz:
http://arxiv.org/abs/2312.05476
Autor:
Li, Jinning, Zhao, Xiaoming, Wu, Bing, Ji, Zhongpeng, Liu, Han, Wang, Xuehan, Zhang, Haibing, He, Zhiping
Publikováno v:
In Journal of Photochemistry & Photobiology, B: Biology July 2023 244
Autor:
Ji, Zhongpeng1,2 (AUTHOR) jizhongpeng@aliyun.com, He, Zhiping1,2 (AUTHOR) hzping@mail.sitp.ac.cn, Gui, Yuhua1,2 (AUTHOR) lijinning@mail.sitp.ac.cn, Li, Jinning1,2 (AUTHOR) tanyongjian@mail.sitp.ac.cn, Tan, Yongjian1,2 (AUTHOR) wubing@mail.sitp.ac.cn, Wu, Bing1,2 (AUTHOR) xurui@mail.sitp.ac.cn, Xu, Rui1,2 (AUTHOR), Wang, Jianyu1,2 (AUTHOR) hzping@mail.sitp.ac.cn
Publikováno v:
Materials (1996-1944). Apr2022, Vol. 15 Issue 8, pN.PAG-N.PAG. 12p.
Akademický článek
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Publikováno v:
Infrared and Laser Engineering. 46:417001