Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Kwan-Yee K. Wong"'
Publikováno v:
IEEE Access, Vol 9, Pp 38287-38295 (2021)
DICOM X-rays are not easily accessible for telemedicine, and existing learning-based automated Cobb angle (CA) predictions are not accurate on suboptimal X-ray images. To develop an automated CA prediction system irrespective of image quality, with n
Externí odkaz:
https://doaj.org/article/1229b95cbde64a3bba47aad455fb3c4b
Autor:
Nan Meng, Jason P.Y. Cheung, Kwan-Yee K. Wong, Socrates Dokos, Sofia Li, Richard W. Choy, Samuel To, Ricardo J. Li, Teng Zhang
Publikováno v:
EClinicalMedicine, Vol 43, Iss , Pp 101252- (2022)
Summary: Background: Assessment of spine alignment is crucial in the management of scoliosis, but current auto-analysis of spine alignment suffers from low accuracy. We aim to develop and validate a hybrid model named SpineHRNet+, which integrates ar
Externí odkaz:
https://doaj.org/article/91d2f52454494951a6898619f9dfc4ed
Publikováno v:
IEEE Transactions on Image Processing. 32:1145-1157
This paper addresses the problem of face video inpainting. Existing video inpainting methods target primarily at natural scenes with repetitive patterns. They do not make use of any prior knowledge of the face to help retrieve correspondences for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8407c14d34a3658342c20faa2fccce4
https://doi.org/10.1109/tip.2023.3240835
https://doi.org/10.1109/tip.2023.3240835
Publikováno v:
IEEE Transactions on Image Processing. 30:1219-1231
General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods tailored for face images have achieved improved performance by jointly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b9476199104e4be917df844f426927
https://doi.org/10.1109/tip.2020.3043093
https://doi.org/10.1109/tip.2020.3043093
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::420bcfad45539ae3c70f9d89efcb8dca
https://doi.org/10.1007/978-3-031-19769-7_16
https://doi.org/10.1007/978-3-031-19769-7_16
Autor:
Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng, Honghan Wu, Cao Yang, Kun Wang, Yang Li, Teng Zhang
Publikováno v:
Computerized Medical Imaging and Graphics. 99:102091
Most learning-based magnetic resonance image (MRI) segmentation methods rely on the manual annotation to provide supervision, which is extremely tedious, especially when multiple anatomical structures are required. In this work, we aim to develop a h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b440acabf442ebbd5573d17e9a84dd25
https://doi.org/10.1016/j.compmedimag.2022.102091
https://doi.org/10.1016/j.compmedimag.2022.102091
This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unlike previous approaches which require tedious calibration, our method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f44392798687346a46f5f4b1ae3aaca
http://arxiv.org/abs/2101.09392
http://arxiv.org/abs/2101.09392
Publikováno v:
CVPR
Face restoration is important in face image processing, and has been widely studied in recent years. However, previous works often fail to generate plausible high quality (HQ) results for real-world low quality (LQ) face images. In this paper, we pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224c6e240db191d97314f9107a567923
http://arxiv.org/abs/2009.08709
http://arxiv.org/abs/2009.08709
This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a fully convolutional deep network for calibrated photometric stereo, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d49fde4cb0c0834e3006fce5b289d4b
http://arxiv.org/abs/2007.13145
http://arxiv.org/abs/2007.13145
Publikováno v:
CVPR
Referring expression comprehension (REF) aims at identifying a particular object in a scene by a natural language expression. It requires joint reasoning over the textual and visual domains to solve the problem. Some popular referring expression data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28d6c9a3b69e1e485232fd1e6ff0c702
http://arxiv.org/abs/2003.00403
http://arxiv.org/abs/2003.00403