Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Zhu, Yucheng"'
Autor:
Zhu, Yuxin, Duan, Huiyu, Zhang, Kaiwei, Zhu, Yucheng, Zhu, Xilei, Teng, Long, Min, Xiongkuo, Zhai, Guangtao
Understanding and predicting viewer attention in omnidirectional videos (ODVs) is crucial for enhancing user engagement in virtual and augmented reality applications. Although both audio and visual modalities are essential for saliency prediction in
Externí odkaz:
http://arxiv.org/abs/2408.05411
Autor:
Cao, Linhan, Sun, Wei, Min, Xiongkuo, Jia, Jun, Zhang, Zicheng, Chen, Zijian, Zhu, Yucheng, Liu, Lizhou, Chen, Qiubo, Chen, Jing, Zhai, Guangtao
Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compression algorithms to achieve a trade-off between transmission bit rate an
Externí odkaz:
http://arxiv.org/abs/2408.04273
Recent years have witnessed the rapid development of short videos, which usually contain both visual and audio modalities. Background music is important to the short videos, which can significantly influence the emotions of the viewers. However, at p
Externí odkaz:
http://arxiv.org/abs/2405.09286
Autor:
Yang, Liu, Duan, Huiyu, Teng, Long, Zhu, Yucheng, Liu, Xiaohong, Hu, Menghan, Min, Xiongkuo, Zhai, Guangtao, Callet, Patrick Le
In recent years, the rapid advancement of Artificial Intelligence Generated Content (AIGC) has attracted widespread attention. Among the AIGC, AI generated omnidirectional images hold significant potential for Virtual Reality (VR) and Augmented Reali
Externí odkaz:
http://arxiv.org/abs/2404.01024
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display. With the advancement
Externí odkaz:
http://arxiv.org/abs/2402.03413
Autor:
Wu, Sijing, Li, Yunhao, Zhang, Weitian, Jia, Jun, Zhu, Yucheng, Yan, Yichao, Zhai, Guangtao, Yang, Xiaokang
Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communication, art, and entertainment. However, it is often overlooked in the f
Externí odkaz:
http://arxiv.org/abs/2312.04369
Autor:
Zhu, Yuxin, Zhu, Xilei, Duan, Huiyu, Li, Jie, Zhang, Kaiwei, Zhu, Yucheng, Chen, Li, Min, Xiongkuo, Zhai, Guangtao
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV rendering, etc.. However, most studies only consider visual information for O
Externí odkaz:
http://arxiv.org/abs/2311.05190
Autor:
Zhu, Xilei, Duan, Huiyu, Cao, Yuqin, Zhu, Yuxin, Zhu, Yucheng, Liu, Jing, Chen, Li, Min, Xiongkuo, Zhai, Guangtao
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is significant for service-providers to improve the user's Quality of Experien
Externí odkaz:
http://arxiv.org/abs/2307.10813
Autor:
Zhang, Zicheng, Sun, Wei, Zhou, Yingjie, Lu, Wei, Zhu, Yucheng, Min, Xiongkuo, Zhai, Guangtao
Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods. However, little attention has been paid to the computational costs and inference time, which is also important for pract
Externí odkaz:
http://arxiv.org/abs/2302.08715
Human motion synthesis is a long-standing problem with various applications in digital twins and the Metaverse. However, modern deep learning based motion synthesis approaches barely consider the physical plausibility of synthesized motions and conse
Externí odkaz:
http://arxiv.org/abs/2210.04294