Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lanpeng Jia"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb6429583eee489e4d47c1e6620b9dc
https://doi.org/10.1007/978-3-031-19800-7_22
https://doi.org/10.1007/978-3-031-19800-7_22
Publikováno v:
CVPR Workshops
We propose a novel architecture to handle the problem of multi-frame super-resolution (MFSR). The proposed framework is known as Enhanced Burst Super-Resolution (EBSR), which divides the MFSR problem into three parts: alignment, fusion, and reconstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e464b22c46b61c719aeda95246d69566
https://doi.org/10.1109/cvprw53098.2021.00058
https://doi.org/10.1109/cvprw53098.2021.00058
Autor:
Magauiya Zhussip, Julien Mairal, Ziwei Luo, Christian Micheloni, Haoqiang Fan, Sanghyeok Son, Jean Ponce, Rao Muhammad, Ziluan Liu, Kazutoshi Akita, Xuan Mo, Umer Youliang Yan, Pavel Ostyakov, Youwei Li, Martin Danelljan, Norimichi Ukita, Bruno Lecouat, Lei Yu, Xueyi Zou, Goutam Bhat, Radu Timofte, Shuaicheng Liu, Dae-Shik Kim, Jian Sun, Lanpeng Jia, Wooyeong Cho, Takahiro Maeda, Takeru Oba
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca48c4e2fd9c89079b79b7cd6854b8d5
https://doi.org/10.1109/cvprw53098.2021.00073
https://doi.org/10.1109/cvprw53098.2021.00073
Publikováno v:
Antioxidants, Vol 13, Iss 10, p 1193 (2024)
Oxidative stress plays a major role in the formation of the cataract that is the result of advancing age, diabetes or which follows vitrectomy surgery. Glutathione (GSH) is the principal antioxidant in the lens, and so supplementation with GSH would
Externí odkaz:
https://doaj.org/article/28450e128b894a73b9cedef4e502f64c
Autor:
Chuan Wang, Shuaicheng Liu, Jue Wang, Nianjin Ye, Jirong Zhang, Ji Zhou, Lanpeng Jia, Jian Sun
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030584511
ECCV (1)
ECCV (1)
Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low-light and low-texture images. On the other hand, previous deep homogr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21cb7c28e6d8cceb076d1acfb02b7bf4
https://doi.org/10.1007/978-3-030-58452-8_38
https://doi.org/10.1007/978-3-030-58452-8_38