Zobrazeno 1 - 10
of 640
pro vyhledávání: '"Li Sicheng"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 13, Pp 300-311 (2024)
Coaxial electrospinning is a new technology for the preparation of multi-structure nanofibers, with the advantages of simple equipment operation, mild processing conditions and adjustable structure. This technology uses a direct current (DC) high vol
Externí odkaz:
https://doaj.org/article/2fba0b4931024f968a2440d8ba4bb59a
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 33, Iss 04, Pp 468-474 (2021)
ObjectiveHazard assessment of gardenia yellow were performed based on the existing toxicological data.MethodsThe systematic literature searches (SLS) was used to collect toxicological data. Then, the reference dose method was employed to calculate th
Externí odkaz:
https://doaj.org/article/2bb70954ff194550812061f59e33a186
The emergence of Neural Radiance Fields (NeRF) has greatly impacted 3D scene modeling and novel-view synthesis. As a kind of visual media for 3D scene representation, compression with high rate-distortion performance is an eternal target. Motivated b
Externí odkaz:
http://arxiv.org/abs/2404.02185
Autor:
Li, Sicheng, Sun, Keqiang, Lai, Zhixin, Wu, Xiaoshi, Qiu, Feng, Xie, Haoran, Miyata, Kazunori, Li, Hongsheng
The conditional text-to-image diffusion models have garnered significant attention in recent years. However, the precision of these models is often compromised mainly for two reasons, ambiguous condition input and inadequate condition guidance over s
Externí odkaz:
http://arxiv.org/abs/2403.18417
Recovering 3D geometry and textures of individual objects is crucial for many robotics applications, such as manipulation, pose estimation, and autonomous driving. However, decomposing a target object from a complex background is challenging. Most ex
Externí odkaz:
http://arxiv.org/abs/2310.11092
Autor:
Wang, Honggang1 (AUTHOR) lisicheng@stu.xupt.edu.cn, Li, Sicheng1 (AUTHOR), Zhou, Yurun1 (AUTHOR), Wang, Yongli1 (AUTHOR), Pan, Ruoyu1 (AUTHOR), Pang, Shengli1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6305. 22p.
Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis performance but are slow at rendering. To speed up the volume rendering process, many acceleration methods have been proposed at the cost of large memory consumption. To pu
Externí odkaz:
http://arxiv.org/abs/2212.08476
Graph convolutional networks have been widely used for skeleton-based action recognition due to their excellent modeling ability of non-Euclidean data. As the graph convolution is a local operation, it can only utilize the short-range joint dependenc
Externí odkaz:
http://arxiv.org/abs/2206.13028
Publikováno v:
In Ecotoxicology and Environmental Safety December 2024 288
Autor:
Li, Sicheng, Li, Yichuan, Zhu, Keyu, He, Wenlin, Guo, Xingjun, Wang, Ting, Gong, Song, Zhu, Zhanyong
Publikováno v:
In Life Sciences 15 November 2024 357