Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Qingsen Yan"'
Autor:
Qingsen Yan, Mario Fruzangohar, Julian Taylor, Dong Gong, James Walter, Adam Norman, Javen Qinfeng Shi, Tristan Coram
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-14 (2023)
Abstract Background Genomic prediction has become a powerful modelling tool for assessing line performance in plant and livestock breeding programmes. Among the genomic prediction modelling approaches, linear based models have proven to provide accur
Externí odkaz:
https://doaj.org/article/b1e8b67862f047eda94730342997624e
Autor:
Qingsen Yan, Linsheng Li
Publikováno v:
IET Computer Vision, Vol 8, Iss 4, Pp 305-315 (2014)
Online tracking is a challenging task to develop effective and efficient models to account for appearance change. However, most tracking algorithms only consider the holistic or local information and do not make full use of the appearance information
Externí odkaz:
https://doaj.org/article/f611426d4c5243ee8239abfd968312ad
Publikováno v:
IEEE Transactions on Image Processing. 32:2857-2866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e8651782f12589d393f9c2b98fedc1
https://doi.org/10.1109/tip.2023.3251029
https://doi.org/10.1109/tip.2023.3251029
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3806d51131885a92fa50c2e8879abf70
https://doi.org/10.1109/jbhi.2023.3268218
https://doi.org/10.1109/jbhi.2023.3268218
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::903e277bef53434d1f38a66403c93c2a
https://doi.org/10.1007/978-3-031-26316-3_14
https://doi.org/10.1007/978-3-031-26316-3_14
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647edfea27e7bf61885e6e7d72dc7ec7
https://doi.org/10.1007/978-3-031-26313-2_11
https://doi.org/10.1007/978-3-031-26313-2_11
Autor:
Dong Gong, Anton van den Hengel, Ian Reid, Qingsen Yan, Yanning Zhang, Chunhua Shen, Javen Shi
Publikováno v:
International Journal of Computer Vision. 130:76-94
Ghosting artifacts caused by moving objects and misalignments are a key challenge in constructing high dynamic range (HDR) images. Current methods first register the input low dynamic range (LDR) images using optical flow before merging them. This pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c572a31ab4a9811f5d8cfbea8510fe4
https://doi.org/10.1007/s11263-021-01535-y
https://doi.org/10.1007/s11263-021-01535-y
Autor:
Qingsen Yan, Shengqiang Liu, Songhua Xu, Caixia Dong, Zongfang Li, Javen Qinfeng Shi, Yanning Zhang, Duwei Dai
Publikováno v:
Pattern Recognition. 138:109432
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c74bfabb014abe6d13028050ff506a2
https://doi.org/10.1016/j.patcog.2023.109432
https://doi.org/10.1016/j.patcog.2023.109432