Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yinqiang Zheng"'
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/46f70288726c438899793f085a8c8654
Publikováno v:
Sensors, Vol 21, Iss 7, p 2348 (2021)
Hyperspectral image (HSI) super-resolution (SR) is a challenging task due to its ill-posed nature, and has attracted extensive attention by the research community. Previous methods concentrated on leveraging various hand-crafted image priors of a lat
Externí odkaz:
https://doaj.org/article/f952802b7e4b4b068fc2f10688887f3f
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3294 (2020)
Hyperspectral image (HSI) classification has become one of the most significant tasks in the field of hyperspectral analysis. However, classifying each pixel in HSI accurately is challenging due to the curse of dimensionality and limited training sam
Externí odkaz:
https://doaj.org/article/8e76041b09134f6fa1d1ded2689ba780
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-21
Hyperspectral imaging is a promising imaging modality that simultaneously captures several images for the same scene on narrow spectral bands, and it has made considerable progress in different fields, such as agriculture, astronomy, and surveillance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35332e8cf296db2f66128f1b01912ac0
https://doi.org/10.1145/3477396
https://doi.org/10.1145/3477396
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:256-272
Hyperspectral image (HSI) recovery from a single RGB image has attracted much attention, whose performance has recently been shown to be sensitive to the camera spectral response (CSR). In this paper, we present an efficient convolutional neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eded51f978b55ded2a0b7f5d3326c89
https://doi.org/10.1109/tpami.2020.3009999
https://doi.org/10.1109/tpami.2020.3009999
Autor:
Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7dc55016518b5a1221bb1c43f9b9eb
https://doi.org/10.1007/978-3-031-25063-7_20
https://doi.org/10.1007/978-3-031-25063-7_20
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c64630cd114428af6f5cc1bf882bf7
https://doi.org/10.1145/3503161.3548142
https://doi.org/10.1145/3503161.3548142
Publikováno v:
Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e5729e631e6a3fdcc8dd80bf32657f
https://doi.org/10.1145/3528233.3530741
https://doi.org/10.1145/3528233.3530741
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:48-61
This paper presents a precise, stable, and invertible reflectance model for photometric stereo. This microfacet-based model is applicable to all types of isotropic surface reflectance, covering cases from diffusion to specular reflections. We introdu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e471076e8b6359e0dbd0af7732790d5b
https://doi.org/10.1109/tpami.2019.2927909
https://doi.org/10.1109/tpami.2019.2927909
Publikováno v:
IEEE Transactions on Image Processing. 30:7280-7291
Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring advantages to multiple applications that require consistent object surfac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f9f6442916994ebf4298bc05a022ce
https://doi.org/10.1109/tip.2021.3104188
https://doi.org/10.1109/tip.2021.3104188