Zobrazeno 1 - 10
of 1 251
pro vyhledávání: '"Zhou Shijie"'
Publikováno v:
网络与信息安全学报, Vol 10, Pp 81-94 (2024)
In the pursuit of establishing a unified model for fine-grained access control and secure data communication within a distributed microservices architecture, a verifier-policy attributed-based signature (VP-ABS) scheme, augmented with attribute revoc
Externí odkaz:
https://doaj.org/article/7a83a6b60cbb4a0c9253dff5fcc179ce
Publikováno v:
陆军军医大学学报, Vol 44, Iss 20, Pp 2061-2067 (2022)
Objective To investigate the protective effect of dexmedetomidine (DEX) on intestinal barrier in septic rats. Methods Rat model of sepsis was induced by cecal ligation and puncture (CLP). SD rats were randomly divided into 4 groups: sham operation gr
Externí odkaz:
https://doaj.org/article/afb160fe86374b6890e8a1ba49ac4674
Diffusion models have emerged as a powerful foundation model for visual generation. With an appropriate sampling process, it can effectively serve as a generative prior to solve general inverse problems. Current posterior sampling based methods take
Externí odkaz:
http://arxiv.org/abs/2411.09850
Autor:
Fan, Zhiwen, Zhang, Jian, Cong, Wenyan, Wang, Peihao, Li, Renjie, Wen, Kairun, Zhou, Shijie, Kadambi, Achuta, Wang, Zhangyang, Xu, Danfei, Ivanovic, Boris, Pavone, Marco, Wang, Yue
Reconstructing and understanding 3D structures from a limited number of images is a well-established problem in computer vision. Traditional methods usually break this task into multiple subtasks, each requiring complex transformations between differ
Externí odkaz:
http://arxiv.org/abs/2410.18956
Autor:
Zhou, Shijie, Bradley, Jonathan R.
Wildfires have significantly increased in the United States (U.S.), making certain areas harder to live in. This motivates us to jointly analyze active fires and population changes in the U.S. from July 2020 to June 2021. The available data are recor
Externí odkaz:
http://arxiv.org/abs/2410.02905
Autor:
Li, Renjie, Pan, Panwang, Yang, Bangbang, Xu, Dejia, Zhou, Shijie, Zhang, Xuanyang, Li, Zeming, Kadambi, Achuta, Wang, Zhangyang, Tu, Zhengzhong, Fan, Zhiwen
The blooming of virtual reality and augmented reality (VR/AR) technologies has driven an increasing demand for the creation of high-quality, immersive, and dynamic environments. However, existing generative techniques either focus solely on dynamic o
Externí odkaz:
http://arxiv.org/abs/2406.13527
Investigating the network stability or synchronization dynamics of multi-agent systems with time delays is of significant importance in numerous real-world applications. Such investigations often rely on solving the transcendental characteristic equa
Externí odkaz:
http://arxiv.org/abs/2404.18704
Enhancing our understanding of adversarial examples is crucial for the secure application of machine learning models in real-world scenarios. A prevalent method for analyzing adversarial examples is through a frequency-based approach. However, existi
Externí odkaz:
http://arxiv.org/abs/2404.10202
Autor:
Zhou, Shijie, Fan, Zhiwen, Xu, Dejia, Chang, Haoran, Chari, Pradyumna, Bharadwaj, Tejas, You, Suya, Wang, Zhangyang, Kadambi, Achuta
The increasing demand for virtual reality applications has highlighted the significance of crafting immersive 3D assets. We present a text-to-3D 360$^{\circ}$ scene generation pipeline that facilitates the creation of comprehensive 360$^{\circ}$ scen
Externí odkaz:
http://arxiv.org/abs/2404.06903
Autor:
Muhammad Asim Saleem, Zhou Shijie, Muhammad Umer Sarwar, Tanveer Ahmad, Amarah Maqbool, Casper Shikali Shivachi, Maham Tariq
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
VANET is the spontaneous evolving creation of a wireless network, and clustering in these networks is a challenging task due to rapidly changing topology and frequent disconnection in networks. The cluster head (CH) stability plays a prominent role i
Externí odkaz:
https://doaj.org/article/c719d234b87f48cb9256e3cdbcfadc70