Zobrazeno 1 - 10
of 642
pro vyhledávání: '"Jenq-Neng Hwang"'
Autor:
Jiaying Liu, Wen-Huang Cheng, Jenq-Neng Hwang, lvan V. Bajic, Shiqi Wang, Junseok Kwon, Ngai-Man Cheung, Rei Kawakami
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 4 (2023)
Externí odkaz:
https://doaj.org/article/591e8cf90dd34dc2b490fe8f4abe6a08
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 4 (2023)
Externí odkaz:
https://doaj.org/article/446e759e85794afb831f56c21a5ee096
Autor:
Li Chen, Jie Sun, Gador Canton, Niranjan Balu, Daniel S. Hippe, Xihai Zhao, Rui Li, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan
Publikováno v:
IEEE Access, Vol 8, Pp 217603-217614 (2020)
Quantitative analysis of blood vessel wall structures is important to study atherosclerotic diseases and assess cardiovascular event risks. To achieve this, accurate identification of vessel luminal and outer wall contours is needed. Computer-assiste
Externí odkaz:
https://doaj.org/article/943582baebf8453fab49298e5b88d1c2
Publikováno v:
IEEE Access, Vol 8, Pp 169146-169159 (2020)
Traditional video captioning requests a holistic description of the video, yet the detailed descriptions of the specific objects may not be available. Besides, most methods adopt frame-level inter-tangled features among objects and ambiguous descript
Externí odkaz:
https://doaj.org/article/f27229505e5e4ead935efeb4c4ea6bfb
Autor:
Li Chen, Dennis W. W. Shaw, Stephen R. Dager, Neva M. Corrigan, Baocheng Chu, Natalia M. Kleinhans, Patricia K. Kuhl, Jenq-Neng Hwang, Chun Yuan
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Comprehensive quantification of intracranial artery features may help to assess and understand regional variations of blood supply during early brain development and aging. We analyzed vasculature features of 27 healthy infants during natural sleep,
Externí odkaz:
https://doaj.org/article/43e7a6fb911c4ec1a59e4aab627ffbcf
Autor:
Zheng Tang, Jenq-Neng Hwang
Publikováno v:
IEEE Access, Vol 7, Pp 31934-31945 (2019)
Multiple object tracking has been a challenging field, mainly due to noisy detection sets an identity switch caused by occlusion and similar appearance among nearby targets. Previous works rely on appearance models that are built on an individual or
Externí odkaz:
https://doaj.org/article/a9e009b15f704ee58a821068cecc9c13
Publikováno v:
IEEE Access, Vol 7, Pp 52836-52845 (2019)
Image processing and analysis techniques have drawn increasing attention since they enable a non-extractive and non-lethal approach to collecting fisheries data, such as fish size measurement, catch estimation, regulatory compliance, species recognit
Externí odkaz:
https://doaj.org/article/2f346d999d3c4799b4a91d38e69e6273
Publikováno v:
IEEE Access, Vol 7, Pp 25016-25025 (2019)
Snowflakes attached to the camera lens can severely affect the visibility of the background scene and compromise the image quality. In this paper, we solve this problem by visually removing snowflakes to convert the snowy image into a clean one. The
Externí odkaz:
https://doaj.org/article/b6825c4a64994a4c8a68ad2752ae1f76
Publikováno v:
IEEE Access, Vol 7, Pp 10754-10766 (2019)
Camera calibration and radial distortion correction are the crucial prerequisites for many applications in image big data and computer vision. Many existing works rely on the Manhattan world assumption to estimate the camera parameters automatically;
Externí odkaz:
https://doaj.org/article/4031b58e90e24366a776e722e9676b36
Publikováno v:
IEEE Access, Vol 7, Pp 60672-60683 (2019)
Uploading virtual reality (VR) video over cellular networks is expected to boom in the near future, as general consumers could generate the high-quality VR videos with portable 360-degree cameras and are willing to share with others. Consequently, th
Externí odkaz:
https://doaj.org/article/ce0e413bb0584fe596c1ff897aca953e