Zobrazeno 1 - 10
of 930
pro vyhledávání: '"Liu Xuhui"'
Publikováno v:
电力工程技术, Vol 41, Iss 2, Pp 136-142 (2022)
In cable fire test,a fire source is essential for the fire performance evaluation. Most of the existing fire sources for power cable are based on chemical fuel,which is unable to represent the cable fire caused by fault arc. Therefore,to simulate the
Externí odkaz:
https://doaj.org/article/5abaa2bf97624eedab3de5988e925da8
Significance: Cerebral blood flow (CBF) imaging is crucial for diagnosing cerebrovascular diseases. However, existing large neuroimaging techniques with high cost, low sampling rate, and poor mobility make them unsuitable for continuous and longitudi
Externí odkaz:
http://arxiv.org/abs/2408.12715
Intraoperative CT imaging serves as a crucial resource for surgical guidance; however, it may not always be readily accessible or practical to implement. In scenarios where CT imaging is not an option, reconstructing CT scans from X-rays can offer a
Externí odkaz:
http://arxiv.org/abs/2408.09731
Autor:
Liu, Xuhui, Qiao, Zhi, Liu, Runkun, Li, Hong, Zhang, Juan, Zhen, Xiantong, Qian, Zhen, Zhang, Baochang
Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed 3D images of the human body. However, performing CT scans is not always feasible due to radiation exposure and limitations in certain surgical environments.
Externí odkaz:
http://arxiv.org/abs/2407.13545
Autor:
Dong, Wenhao, Zhu, Haodong, Lin, Shaohui, Luo, Xiaoyan, Shen, Yunhang, Liu, Xuhui, Zhang, Juan, Guo, Guodong, Zhang, Baochang
Cross-modality fusing complementary information from different modalities effectively improves object detection performance, making it more useful and robust for a wider range of applications. Existing fusion strategies combine different types of ima
Externí odkaz:
http://arxiv.org/abs/2404.09146
Autor:
Li, Shanglin, Zeng, Bohan, Feng, Yutang, Gao, Sicheng, Liu, Xuhui, Liu, Jiaming, Lin, Li, Tang, Xu, Hu, Yao, Liu, Jianzhuang, Zhang, Baochang
Recent advances in vision-language models like Stable Diffusion have shown remarkable power in creative image synthesis and editing.However, most existing text-to-image editing methods encounter two obstacles: First, the text prompt needs to be caref
Externí odkaz:
http://arxiv.org/abs/2312.16794
Autor:
Fathi, Faraneh, Mazdeyasna, Siavash, Singh, Dara, Huang, Chong, Mohtasebi, Mehrana, Liu, Xuhui, Haratbar, Samaneh Rabienia, Zhao, Mingjun, Chen, Li, Ulku, Arin Can, Mos, Paul, Bruschini, Claudio, Charbon, Edoardo, Chen, Lei, Yu, Guoqiang
To address many of the deficiencies in optical neuroimaging technologies such as poor spatial resolution, time-consuming reconstruction, low penetration depth, and contact-based measurement, a novel, noncontact, time-resolved laser speckle contrast i
Externí odkaz:
http://arxiv.org/abs/2309.13527
Real-time object detection plays a vital role in various computer vision applications. However, deploying real-time object detectors on resource-constrained platforms poses challenges due to high computational and memory requirements. This paper desc
Externí odkaz:
http://arxiv.org/abs/2307.04816
Autor:
Zeng, Bohan, Li, Shanglin, Liu, Xuhui, Gao, Sicheng, Jiang, Xiaolong, Tang, Xu, Hu, Yao, Liu, Jianzhuang, Zhang, Baochang
Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models. Although diffusion models have shown promise in analyzing functional magnetic resonance ima
Externí odkaz:
http://arxiv.org/abs/2305.10135
Face animation has achieved much progress in computer vision. However, prevailing GAN-based methods suffer from unnatural distortions and artifacts due to sophisticated motion deformation. In this paper, we propose a Face Animation framework with an
Externí odkaz:
http://arxiv.org/abs/2304.03199