Zobrazeno 1 - 10
of 1 581
pro vyhledávání: '"cao, xiang"'
Autor:
Cao, Xiang, Zhang, Xiaoqun
Diffusion models have been widely studied as effective generative tools for solving inverse problems. The main ideas focus on performing the reverse sampling process conditioned on noisy measurements, using well-established numerical solvers for grad
Externí odkaz:
http://arxiv.org/abs/2408.17333
The regularized D-bar method is one of the most prominent methods for solving Electrical Impedance Tomography (EIT) problems due to its efficiency and simplicity. It provides a direct approach by applying low-pass filtering to the scattering data in
Externí odkaz:
http://arxiv.org/abs/2407.03335
Autor:
Cao, Xiang
This dissertation consists of two research projects in the area of Environmental Economics: water-recycling technology adoption and its cost-effectiveness in the U.S. horticulture industry (in Chapter 2), and urban tree cover's impact on residential
Externí odkaz:
http://hdl.handle.net/10919/91384
Neuromorphic vision sensors (event cameras) simulate biological visual perception systems and have the advantages of high temporal resolution, less data redundancy, low power consumption, and large dynamic range. Since both events and spikes are mode
Externí odkaz:
http://arxiv.org/abs/2303.07609
Convolutional neural networks (CNNs) have achieved superior performance but still lack clarity about the nature and properties of feature extraction. In this paper, by analyzing the sensitivity of neural networks to frequencies and scales, we find th
Externí odkaz:
http://arxiv.org/abs/2302.12477
Autor:
Gu, Xu, Sun, Yuchong, Ni, Feiyue, Chen, Shizhe, Wang, Xihua, Song, Ruihua, Li, Boyuan, Cao, Xiang
A video storyboard is a roadmap for video creation which consists of shot-by-shot images to visualize key plots in a text synopsis. Creating video storyboards, however, remains challenging which not only requires cross-modal association between high-
Externí odkaz:
http://arxiv.org/abs/2301.00135
As the third generation of neural networks, spiking neural networks (SNNs) are dedicated to exploring more insightful neural mechanisms to achieve near-biological intelligence. Intuitively, biomimetic mechanisms are crucial to understanding and impro
Externí odkaz:
http://arxiv.org/abs/2207.11670
Neuromorphic vision sensors (event cameras) are inherently suitable for spiking neural networks (SNNs) and provide novel neuromorphic vision data for this biomimetic model. Due to the spatiotemporal characteristics, novel data augmentations are requi
Externí odkaz:
http://arxiv.org/abs/2207.11659
Autor:
Zhang, Liangqi, Shen, Haibo, Luo, Yihao, Cao, Xiang, Pan, Leixilan, Wang, Tianjiang, Feng, Qi
Modern efficient Convolutional Neural Networks(CNNs) always use Depthwise Separable Convolutions(DSCs) and Neural Architecture Search(NAS) to reduce the number of parameters and the computational complexity. But some inherent characteristics of netwo
Externí odkaz:
http://arxiv.org/abs/2207.10318
Autor:
Zhang, Congbiao, Pan, Linyu, Liu, Hongyu, Qi, Xiaoyu, You, Fuxin, Cao, Xiang, Yang, Zhenyu, Zhang, Ze, Li, Ke
Publikováno v:
In Journal of Energy Storage 1 August 2024 95