Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Xu Zipeng"'
Publikováno v:
中国工程科学, Vol 26, Iss 4, Pp 52-62 (2024)
The integrated development of coal and new energy sources is crucial for the smooth transition of China’s energy system and the security and stable supply of energy. Considering China’s resource endowment and its demand for energy supply security
Externí odkaz:
https://doaj.org/article/a102e3de10fd453ea0e7fcf9c16e777c
Autor:
Naghibzadeh, S. Kiana, Xu, Zipeng, Kinderlehrer, David, Suter, Robert, Dayal, Kaushik, Rohrer, Gregory S.
Publikováno v:
Phys. Rev. Materials 8, 093403, 2024
A threshold dynamics model of grain growth that accounts for the anisotropy in the grain boundary energy has been used to simulate experimentally observed grain growth of polycrystalline Ni. The simulation reproduces several aspects of the observed m
Externí odkaz:
http://arxiv.org/abs/2409.12999
Autor:
Xu, Zipeng, Shen, Yu-Feng, Naghibzadeh, S. Kiana, Peng, Xiaoyao, Muralikrishnan, Vivekanand, Maddali, Siddharth, Menasche, David, Krause, Amanda R., Dayal, Kaushik, Suter, Robert M., Rohrer, Gregory S.
High energy x-ray diffraction microscopy was used to image the microstructure of $\alpha$-Fe before and after a 600 $^\circ$C anneal. These data were used to determine the areas, curvatures, energies, and velocities of approximately 40,000 grain boun
Externí odkaz:
http://arxiv.org/abs/2311.11219
Despite the progress made in the style transfer task, most previous work focus on transferring only relatively simple features like color or texture, while missing more abstract concepts such as overall art expression or painter-specific traits. Howe
Externí odkaz:
http://arxiv.org/abs/2303.09268
Owing to the power of vision-language foundation models, e.g., CLIP, the area of image synthesis has seen recent important advances. Particularly, for style transfer, CLIP enables transferring more general and abstract styles without collecting the s
Externí odkaz:
http://arxiv.org/abs/2303.09270
Publikováno v:
In Scripta Materialia 1 February 2025 256
Autor:
Zheng, Duo, Meng, Fandong, Si, Qingyi, Fan, Hairun, Xu, Zipeng, Zhou, Jie, Feng, Fangxiang, Wang, Xiaojie
Visual dialog has witnessed great progress after introducing various vision-oriented goals into the conversation, especially such as GuessWhich and GuessWhat, where the only image is visible by either and both of the questioner and the answerer, resp
Externí odkaz:
http://arxiv.org/abs/2203.08362
Autor:
Zhu, Meidi1 (AUTHOR), Xu, Zipeng2 (AUTHOR), Hu, Jing3 (AUTHOR), Hua, Lingling1 (AUTHOR), Zou, Yu1 (AUTHOR), Qin, Fei4,5 (AUTHOR) 353397109@qq.com, Chen, Chaobo2 (AUTHOR) bobo19820106@gmail.com
Publikováno v:
World Journal of Surgical Oncology. 8/26/2024, Vol. 22 Issue 1, p1-11. 11p.
Autor:
Xu, Zipeng, Lin, Tianwei, Tang, Hao, Li, Fu, He, Dongliang, Sebe, Nicu, Timofte, Radu, Van Gool, Luc, Ding, Errui
To achieve disentangled image manipulation, previous works depend heavily on manual annotation. Meanwhile, the available manipulations are limited to a pre-defined set the models were trained for. We propose a novel framework, i.e., Predict, Prevent,
Externí odkaz:
http://arxiv.org/abs/2111.13333
Considering the importance of building a good Visual Dialog (VD) Questioner, many researchers study the topic under a Q-Bot-A-Bot image-guessing game setting, where the Questioner needs to raise a series of questions to collect information of an undi
Externí odkaz:
http://arxiv.org/abs/2109.02297