Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Yuanhao Gong"'
Publikováno v:
IEEE Access, Vol 12, Pp 137585-137598 (2024)
Mean curvature is fundamentally important for various research fields, including differential geometry in mathematics, cell membrane modeling in biophysics and image processing in computer vision. However, its optimization is a challenging task. Conv
Externí odkaz:
https://doaj.org/article/7d0e607f3b114deba42568f7ea36c49c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract With the rapid expansion of transportation demand, the number of global flights has rapidly increased, which also poses challenges to air traffic management (ATM). Considering that the radar system in ATM can no longer meet the requirements
Externí odkaz:
https://doaj.org/article/47ce436cc496422c978bf4b8e83e62a4
Publikováno v:
Sensors, Vol 23, Iss 8, p 4063 (2023)
Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guid
Externí odkaz:
https://doaj.org/article/799a8f8992864b6785cf8c4fc99d473c
Autor:
Yuanhao Gong, Yong Chen
Publikováno v:
IEEE Access, Vol 8, Pp 176263-176273 (2020)
Estimating the surface from given atoms with location and size information is a fundamental task in many fields, such as molecular dynamics and protein analysis. In this paper, we present a novel method for such surface estimation. Our method is base
Externí odkaz:
https://doaj.org/article/accca689c4764795a61241ed948a8df4
Autor:
Yuanhao Gong, Yong Chen
Publikováno v:
IEEE Access, Vol 7, Pp 115936-115944 (2019)
Computing Gaussian curvature is a fundamental task in image and video processing. However, this task becomes more and more time consuming when the image resolution goes higher and higher. In this paper, we tackle this issue from two aspects. First, w
Externí odkaz:
https://doaj.org/article/bc54c9dc270440dcb07c773519841dbd
Publikováno v:
IEEE Access, Vol 6, Pp 54320-54330 (2018)
This paper first presents a generic geometric prior for the image processing problems. The proposed term allows each individual pixel to automatically choose its own geometric prior. This behavior is fundamentally different from traditional regulariz
Externí odkaz:
https://doaj.org/article/75619b18603d4f39ae2a48fec486c7d0
Publikováno v:
IEEE Access, Vol 6, Pp 49779-49792 (2018)
We have developed a learning-based image transformation framework and successfully applied it to three common image transformation operations: downscaling, decolorization, and high dynamic range image tone mapping. We use a convolutional neural netwo
Externí odkaz:
https://doaj.org/article/f4206a6821cc43ad88bac8788f4704e1
Autor:
Renjie Li, Ceyao Zhang, Wentao Xie, Yuanhao Gong, Feilong Ding, Hui Dai, Zihan Chen, Feng Yin, Zhaoyu Zhang
Publikováno v:
Nanophotonics. 12:319-334
Photonics inverse design relies on human experts to search for a design topology that satisfies certain optical specifications with their experience and intuitions, which is relatively labor-intensive, slow, and sub-optimal. Machine learning has emer
Publikováno v:
Journal of Signal Processing Systems. 95:77-88
Publikováno v:
2022 China Automation Congress (CAC).