Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Huaici Zhao"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104049- (2024)
The point-based 3D object detection method is highly advantageous due to its lightweight nature and fast inference speed, making it a valuable asset in engineering fields such as intelligent transportation and autonomous driving. However, current adv
Externí odkaz:
https://doaj.org/article/2043af5d25e54a5fad6f9a1542328025
Publikováno v:
Entropy, Vol 26, Iss 5, p 383 (2024)
Finding the most interesting areas of an image is the aim of saliency detection. Conventional methods based on low-level features rely on biological cues like texture and color. These methods, however, have trouble with processing complicated or low-
Externí odkaz:
https://doaj.org/article/97c052f3e74d42918dfd91724896224a
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 635 (2023)
Image generation technology is currently one of the popular directions in computer vision research, especially regarding infrared imaging, bearing critical applications in the military field. Existing algorithms for generating infrared images from vi
Externí odkaz:
https://doaj.org/article/9691e63a98e14af5a8bd124cbaf9310d
Publikováno v:
Machines, Vol 11, Iss 1, p 11 (2022)
Recently, point-based networks have begun to prevail because they retain more original geometric information from point clouds than other deep learning-based methods. However, we observe that: (1) the set abstraction design for local aggregation in p
Externí odkaz:
https://doaj.org/article/1820382fb577454b8debf8521a577542
Publikováno v:
Machines, Vol 10, Iss 1, p 19 (2021)
Three-dimensional (3D) object detection is an important task in the field of machine vision, in which the detection of 3D objects using monocular vision is even more challenging. We observe that most of the existing monocular methods focus on the des
Externí odkaz:
https://doaj.org/article/9fc15bd7e6364b3486f60b15a0bce9fa
Autor:
Feidao Cao, Huaici Zhao
Publikováno v:
Symmetry, Vol 13, Iss 5, p 814 (2021)
Automatic segmentation of the lungs in Chest X-ray images (CXRs) is a key step in the screening and diagnosis of related diseases. There are many opacities in the lungs in the CXRs of patients, which makes the lungs difficult to segment. In order to
Externí odkaz:
https://doaj.org/article/ed5a5868333f410dac8ce149afc05f2a
Autor:
Pengfei Liu, Huaici Zhao
Publikováno v:
Sensors, Vol 20, Iss 8, p 2426 (2020)
Hyperspectral images reconstruction focuses on recovering the spectral information from a single RGBimage. In this paper, we propose two advanced Generative Adversarial Networks (GAN) for the heavily underconstrained inverse problem. We first propose
Externí odkaz:
https://doaj.org/article/d5c0a60113344315950d4ea491241043
Publikováno v:
IEEE Sensors Journal. 23:11232-11240
Publikováno v:
Neurocomputing. 494:23-32
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 33:1532-1540