Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zhongqian Fu"'
Publikováno v:
CVPR
In recent years, denoising methods based on deep learning have achieved unparalleled performance at the cost of large computational complexity. In this work, we propose an Efficient Multi-stage Video Denoising algorithm, called EMVD, to drastically r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd470a26b8b55a24b0dc52532c2f408
https://doi.org/10.1109/cvpr46437.2021.00347
https://doi.org/10.1109/cvpr46437.2021.00347
Autor:
Haoqiang Fan, Yibin Huang, Chaoyu Feng, Zhikun Lei, Changbeom Kang, Matteo Maggioni, Donghao Liu, Shen Cheng, Liangyu Chen, Jian Sun, Shuai Xiao, Angeline Pouget, Yifeng Zhou, Myungje Lee, Radu Timofte, Fenglong Song, Tianbao Zhou, Lei Lei, Liguang Huang, Shuaicheng Liu, Feifei Chen, Shuai Liu, Zhongqian Fu, Kim Byeoung-su, Cheng Li, Shinjo Wang, Xiangyu Zhang, Jaeyoon Yoo, Andrey Ignatov, Minsu Kwon, Xin Lu, Bin Huang
Publikováno v:
CVPR Workshops
Image denoising is one of the most critical problems in mobile photo processing. While many solutions have been proposed for this task, they are usually working with synthetic data and are too computationally expensive to run on mobile devices. To ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88b6af91149baa0e2aa71d1fef91ee0
https://doi.org/10.1109/cvprw53098.2021.00285
https://doi.org/10.1109/cvprw53098.2021.00285
Autor:
Ming Lu, Qi Zhang, Minyi Zhao, Jiang Li, Jing Liu, Pavel Ostyakov, Zhan Ma, Fu Li, Xiaopeng Sun, Pablo Navarrete Michelini, Fanglong Liu, Kelvin C.K. Chan, Yuanzhi Zhang, Wenming Yang, Junlin Li, Wei Gao, Dongliang He, Fenglong Song, Yan Liu, Yucong Wang, Chen Change Loy, Lyn Jiang, Gen Zhan, Mengxi Guo, Yiyun Chen, Shangchen Zhou, Minjie Cai, Liangyan Li, Di You, Qing Wang, Chong Mou, Dewang Hou, Qingqing Dang, Ren Yang, Jiayu Yang, Wang Liu, Xiangyu Xu, Jingyu Guo, Hai Wang, Sixin Lin, Zhongqian Fu, Xiaoyu Zhang, Cheng Li, Ru Wang, Liliang Zhang, Yiting Liao, Zhenyu Zhang, Jia Hao, Shuai Xiao, Li Xin, Thomas Tanay, Yibin Huang, Xiaochao Qu, He Zheng, Iaroslav Koshelev, Yi Xu, Jun Chen, Wei Hao, Andrey Somov, Qiang Guo, Xinjian Zhang, Radu Timofte, Kangdi Shi, Sijung Kim, Syehoon Oh, Linjie Zhou, Matteo Maggioni, Shijie Zhao, Wentao Chao, Shuigeng Zhou, Xueyi Zou, Lielin Jiang
Publikováno v:
CVPR Workshops
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has three tracks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d07e8eaf48da9280ef382fda4d3b5ba
Publikováno v:
CVPR
Generative Adversarial Networks (GAN) have shown promising performance in image synthesis and unsupervised learning (USL). In most cases, however, the representations extracted from unsupervised GAN are usually unsatisfactory in other computer vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9265f79f551f558fb9d335885da1b719
https://doi.org/10.1109/cvpr42600.2020.00055
https://doi.org/10.1109/cvpr42600.2020.00055
Publikováno v:
ACM Multimedia
With the development of deep neural networks, recent years have witnessed the increasing research interest on generative models. Specificly, Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) have achieved impressive results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63eab909742b275562829c6a0d4bfe18
https://doi.org/10.1145/3240508.3240569
https://doi.org/10.1145/3240508.3240569
Autor:
Zhongqian Fu, Jianting Wang
Publikováno v:
Journal of Information and Computational Science. 12:1293-1300
We consider the problem of online motion segmentation for video streams. Most existing motion segmentation algorithms based on subspace clustering operate in a batch fashion. The main di‐culty of applying these algorithms to real-world applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b28f1ed6a3d154d4e0e2a3367d9a287
https://doi.org/10.12733/jics20105521
https://doi.org/10.12733/jics20105521
Publikováno v:
International Journal of Theoretical Physics. 54:2001-2011
The problem of partitioning a quantum pure-state set into unambiguously discriminable subsets is investigated in this paper. We prove that the problem is decomposable into sub-problems of two-subset partitioning. A recursive algebro-geometric method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69217fcd97cd4588c64ec16c6761226
https://doi.org/10.1007/s10773-014-2406-0
https://doi.org/10.1007/s10773-014-2406-0
Publikováno v:
Journal of Navigation. 64:265-280
In low-cost self-contained pedestrian navigation systems, traditional Pedestrian Dead Reckoning (PDR) solutions utilize accelerometers to derive the speed as well as the distance travelled, and obtain the walking heading from magnetic compasses or gy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ea4dfe80b3a95fcb2e5008ee658ba99
https://doi.org/10.1017/s0373463310000391
https://doi.org/10.1017/s0373463310000391
Publikováno v:
2015 IEEE International Wireless Symposium (IWS 2015).
A double active g m -boosted-based inductorless differential wideband low-noise amplifier (LNA) is proposed in this paper. The proposed LNA applies two common-gate (CG) stages and the capacitive cross-coupled (CCC) technique. Moreover, a noise-cancel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fad6d6c96be2c7555f9ac475b6ac88
https://doi.org/10.1109/ieee-iws.2015.7164540
https://doi.org/10.1109/ieee-iws.2015.7164540
Autor:
Lei, Zhang, Zhihua, Wang, Zhongqian, Fu, Pengcheng, Fang, Kai, Ling, Jianming, Xu, Derun, Kong, Zhangwei, Xu
Publikováno v:
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 30(5)
It is of great importance to measure the lesion area in scientific research and clinical practice. The present study aims to solve barrel distortion and measure lesion area with the technology of computer visualization. With the ultimate purpose to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3de94b851cc0474f20a28eb86612f252
https://pubmed.ncbi.nlm.nih.gov/24459976
https://pubmed.ncbi.nlm.nih.gov/24459976