Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Quantum many-body interaction"'
Autor:
Phuc, Nguyen Thanh, Trung, Pham Quang
Publikováno v:
Phys. Rev. B 104, 115105 (2021)
Interactions between particles in quantum many-body systems play a crucial role in determining the electric, magnetic, optical, and thermal properties of the system. The recent progress in the laser-pulse technique has enabled the manipulations and m
Externí odkaz:
http://arxiv.org/abs/2009.08598
Akademický článek
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Autor:
Dutta, Sayantan
Publikováno v:
Library and information sciences. Université Paul Sabatier-Toulouse III, 2023. English. ⟨NNT : 2023TOU30002⟩
Decomposition of digital images into other basis or dictionaries than time or space domains is a very common and effective approach in image processing and analysis. Such a decomposition is commonly obtained using fixed transformations (e.g., Fourier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4074::0274443723c3855dcfa9b36c66eb6d55
https://theses.hal.science/tel-04047862/document
https://theses.hal.science/tel-04047862/document
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP)
IEEE International Conference on Image Processing (ICIP 2022)
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.491-495, ⟨10.1109/ICIP46576.2022.9897959⟩
IEEE International Conference on Image Processing (ICIP 2022)
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.491-495, ⟨10.1109/ICIP46576.2022.9897959⟩
International audience; In this paper, we propose a blueprint of a new deep network unfolding a baseline quantum mechanics-based adaptive denoising scheme (De-QuIP). Relying on the theory of quantum many-body physics, the De-QuIP architecture incorpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4cd570d94f34f18b8f4be9754506787
https://hal.science/hal-03872295
https://hal.science/hal-03872295
Autor:
Dutta, Sayantan, Nwigbo, Kenule Tuador, Michetti, Jérôme, Pham, Duong-Hung, Georgeot, Bertrand, Basarab, Adrian, Kouamé, Denis
Publikováno v:
à paraître
International Symposium on Biomedical Imaging (ISBI 2022)
International Symposium on Biomedical Imaging (ISBI 2022), Mar 2022, Kolkata, India
International Symposium on Biomedical Imaging (ISBI 2022)
International Symposium on Biomedical Imaging (ISBI 2022), Mar 2022, Kolkata, India
International audience; Enhancing the spatial resolution of an image is an important field of research in a number of applications including medical ones. In this paper, we address the super-resolution (SR) problem exploiting a newly introduced adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e35ef13680c8c14150195f99c3e5e5cb
https://doi.org/10.1109/isbi52829.2022.9761623
https://doi.org/10.1109/isbi52829.2022.9761623
Akademický článek
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Autor:
Sengupta, Sanghita
Publikováno v:
Graduate College Dissertations and Theses.
In this talk, I will discuss three problems related to the novel physics of two-dimensional quantum materials such as graphene, group-VI dichalcogenides family (TMDCs viz. MoS2, WS2, MoSe2, etc) and Silicene-Germanene class of materials. The first
Externí odkaz:
https://scholarworks.uvm.edu/graddis/939
https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1939&context=graddis
https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1939&context=graddis
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP) ; Electronic ISBN:978-1-6654-4115-5 ; Electronic ISSN: 2381-8549
IEEE International Conference on Image Processing (ICIP 2021)
IEEE International Conference on Image Processing (ICIP 2021), IEEE, Sep 2021, Anchorage, France. pp.1619-1623, ⟨10.1109/ICIP42928.2021.9506794⟩
IEEE International Conference on Image Processing (ICIP 2021)
IEEE International Conference on Image Processing (ICIP 2021), IEEE, Sep 2021, Anchorage, France. pp.1619-1623, ⟨10.1109/ICIP42928.2021.9506794⟩
Decomposing an image through Fourier, DCT or wavelet transforms is still a common approach in digital image processing, in number of applications such as denoising. In this context, data-driven dictionaries and in particular exploiting the redundancy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2fc4290b864796d496e317f41c07ff9
https://hal.archives-ouvertes.fr/hal-03331112
https://hal.archives-ouvertes.fr/hal-03331112
Conference
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