Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ziluan Liu"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Satellite networks provide complete connectivity and worldwide data transmission capability for constructing the Internet of Things. However, because of the varying Internet of Things traffic density, satellite networks may endure imbalanced traffic
Externí odkaz:
https://doaj.org/article/a4949a546e6a4d1096658d3261cab44e
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
Autor:
Shuangquan Wang, Ziluan Liu, Kanghyu Lee, Jie Cai, Ying Tai, Xueyi Zou, Junyang Chen, Haoning Wu, Haoyu Ren, Dongwoon Bai, Pablo Navarrete Michelini, Shuai Liu, Zibo Meng, Zhi-Song Liu, Kalpesh Prajapati, Wei Deng, Kyung-Ah Sohn, Christian Micheloni, Ziyao Zong, Yunhua Lu, Haijie Zhuo, Huibing Wang, Martin Danelljan, Hanseok Ko, Mostafa El-Khamy, Wan-Chi Siu, Chiu Man Ho, Biao Yang, Amin Kheradmand, Fuzhi Yang, Jaejun Yoo, Hao Li, Kaihua Cheng, Rao Muhammad Umer, Namhyuk Ahn, Yuanbo Zhou, Timothy Haoning Wu, Yun Cao, Xiaozhong Ji, Gwantae Kim, Se Young Chun, Andreas Lugmayr, Yong Hyeok Seo, Jungwon Lee, Radu Timofte, Tongtong Zhao
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5171e3df1689f5f7ceeb38b4dd598ec4
https://doi.org/10.1109/cvprw50498.2020.00255
https://doi.org/10.1109/cvprw50498.2020.00255
Autor:
Qi Tian, Zhen Han, Xing Liu, Chunjing Xu, Shuaijun Chen, Enyan Dai, Xu Jia, Ziluan Liu, Jianzhuang Liu, Xueyi Zou
Publikováno v:
CVPR Workshops
The task of single image super-resolution (SISR) aims at reconstructing a high-resolution (HR) image from a low- resolution (LR) image. Although significant progress has been made with deep learning models, they are trained on synthetic paired data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83add0837e70d07d2e4afc0bf6c8ee01
https://doi.org/10.1109/cvprw50498.2020.00242
https://doi.org/10.1109/cvprw50498.2020.00242
Publikováno v:
2011 4th IEEE International Conference on Broadband Network and Multimedia Technology.
This paper is based on an existing distributed system TRAK for network performance measurement. In TRAK system, SVG is used to draw a series of result line charts, however, it's impossible to display all the data in just one single webpage. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74e1d2528ef844d4717bdeaa6d35301f
https://doi.org/10.1109/icbnmt.2011.6155967
https://doi.org/10.1109/icbnmt.2011.6155967