Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Shang-Hong Lai"'
Autor:
Ting-Wei Wang, Shang-Hong Lai
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 13, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/4930b939a2454ff39ea9683fe0dd065d
Publikováno v:
Biomedical Journal, Vol 41, Iss 6, Pp 369-375 (2018)
Background: An abnormal sternocleidomastoid muscle in congenital muscular torticollis can be classified into one of the four types via sonography. However, this categorization lacks quantitative measurements. The purpose of the study was to determine
Externí odkaz:
https://doaj.org/article/50e65a5e5916405aa85f883da468aa07
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Xuelun Shen, Shang-Hong Lai, Baiqi Lai, Jonathan Li, Shuting Chen, Weiquan Liu, Xuesheng Bian, Dongdong Weng, Cheng Wang, Ming Cheng
Publikováno v:
Information Sciences. 581:655-677
Registering the 2D images (2D space) with the 3D model of the environment (3D space) provides a promising solution to outdoor Augmented Reality (AR) virtual-real registration. In this work, we use the position and orientation of the ground camera ima
Autor:
Jing Chong Beh, Kam Woh Ng, Jie Long Kew, Che-Tsung Lin, Chee Seng Chan, Shang-Hong Lai, Christopher Zach
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Autor:
Weiquan Liu, Cheng Wang, Xuesheng Bian, Shuting Chen, Wei Li, Xiuhong Lin, Yongchuan Li, Dongdong Weng, Shang-Hong Lai, Jonathan Li
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2243 (2019)
Establishing the spatial relationship between 2D images captured by real cameras and 3D models of the environment (2D and 3D space) is one way to achieve the virtual−real registration for Augmented Reality (AR) in outdoor environments. In this pape
Externí odkaz:
https://doaj.org/article/989c34e12d5a4e73a49823dab8fedc22
Publikováno v:
Pattern Recognition. 138:109416
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:951-963
Data augmentation plays a crucial role in training a CNN-based detector. Most previous approaches were based on using a combination of general image-processing operations and could only produce limited plausible image variations. Recently, GAN (Gener
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Shang-Hong Lai, Shangshu Yu, Shuting Chen, Weiquan Liu, Xuesheng Bian, Xiuhong Lin, Dongdong Weng, Jonathan Li, Cheng Wang
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:1608-1612
Different domain image sensors or imaging mechanisms provide cross-domain images when sensing the same scene. There is a domain shift between cross-domain images so that the image gap between different domains is the major challenge for measuring the