Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Duan Huiyu"'
Publikováno v:
Nanotechnology Reviews, Vol 11, Iss 1, Pp 846-873 (2022)
Owing to their optical, mechanical, and catalytic properties, plasmonic nanomaterials (P-NMs) have been widely used in sensing, disease treatment, as well as energy transfer and conversion applications. Therefore, the synthesis, properties, and appli
Externí odkaz:
https://doaj.org/article/bf9adbde9d714cfea1e17d32ba2aef21
3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with promising results. However, multi-modal 3D facial animation, especially
Externí odkaz:
http://arxiv.org/abs/2410.07757
Autor:
Moskalenko, Andrey, Bryncev, Alexey, Vatolin, Dmitry, Timofte, Radu, Zhan, Gen, Yang, Li, Tang, Yunlong, Liao, Yiting, Lin, Jiongzhi, Huang, Baitao, Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone, Zhu, Yuxin, Sun, Yinan, Duan, Huiyu, Cao, Yuqin, Jia, Ziheng, Hu, Qiang, Min, Xiongkuo, Zhai, Guangtao, Fang, Hao, Cong, Runmin, Lu, Xiankai, Zhou, Xiaofei, Zhang, Wei, Zhao, Chunyu, Mu, Wentao, Deng, Tao, Tavakoli, Hamed R.
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps are widely exploited in vario
Externí odkaz:
http://arxiv.org/abs/2409.14827
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
With the development of eXtended Reality (XR), head-mounted shooting and display technology have experienced significant advancement and gained considerable attention. Egocentric spatial images and videos are emerging as a compelling form of stereosc
Externí odkaz:
http://arxiv.org/abs/2407.21363
Image processing, including image restoration, image enhancement, etc., involves generating a high-quality clean image from a degraded input. Deep learning-based methods have shown superior performance for various image processing tasks in terms of s
Externí odkaz:
http://arxiv.org/abs/2407.20928
Autor:
Gao, Shiqi, Duan, Huiyu, Li, Xinyue, Fu, Kang, Peng, Yicong, Xu, Qihang, Chang, Yuanyuan, Wang, Jia, Min, Xiongkuo, Zhai, Guangtao
In recent years, learning-based color and tone enhancement methods for photos have become increasingly popular. However, most learning-based image enhancement methods just learn a mapping from one distribution to another based on one dataset, lacking
Externí odkaz:
http://arxiv.org/abs/2406.15848
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
Artificial Intelligence Generated Content (AIGC) has grown rapidly in recent years, among which AI-based image generation has gained widespread attention due to its efficient and imaginative image creation ability. However, AI-generated Images (AIGIs
Externí odkaz:
http://arxiv.org/abs/2405.07346
The analysis and prediction of visual attention have long been crucial tasks in the fields of computer vision and image processing. In practical applications, images are generally accompanied by various text descriptions, however, few studies have ex
Externí odkaz:
http://arxiv.org/abs/2404.07537