Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zikui Cai"'
Publikováno v:
Sensors, Vol 22, Iss 24, p 9964 (2022)
In this paper, we present a framework to learn illumination patterns to improve the quality of signal recovery for coded diffraction imaging. We use an alternating minimization-based phase retrieval method with a fixed number of iterations as the ite
Externí odkaz:
https://doaj.org/article/e9c92d5316b34c018e7013fc0860483c
Autor:
Zikui Cai, Shantanu Rane, Alejandro E. Brito, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif
Adversarial attacks perturb images such that a deep neural network produces incorrect classification results. A promising approach to defend against adversarial attacks on natural multi-object scenes is to impose a context-consistency check, wherein,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d676bf8fcbb633ed7c3cec3c8dda25
http://arxiv.org/abs/2203.15230
http://arxiv.org/abs/2203.15230
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585761
ECCV (30)
ECCV (30)
Fourier phase retrieval is a classical problem that deals with the recovery of an image from the amplitude measurements of its Fourier coefficients. Conventional methods solve this problem via iterative (alternating) minimization by leveraging some p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f2d3fe3deb9b5df2031c96cb664d5a
https://doi.org/10.1007/978-3-030-58577-8_26
https://doi.org/10.1007/978-3-030-58577-8_26