Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report-Reference-Cited by-同舟云学术

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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Ignatov Andrey,Byeoung-Su Kim,Timofte Radu,Pouget Angeline,Song Fenglong,Li Cheng,Xiao Shuai,Fu Zhongqian,Maggioni Matteo,Huang Yibin,Cheng Shen,Lu Xin,Zhou Yifeng,Chen Liangyu,Liu Donghao,Zhang Xiangyu,Fan Haoqiang,Sun Jian,Liu Shuaicheng,Kwon Minsu,Lee Myungje,Yoo Jaeyoon,Kang Changbeom,Wang Shinjo,Huang Bin,Zhou Tianbao,Liu Shuai,Lei Lei,Feng Chaoyu,Huang Liguang,Lei Zhikun,Chen Feifei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9522011/9522684/09522755.pdf?arnumber=9522755

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1. Universal Blind-Denoising Method of Radar Spectrograms for Unknown Noise Distribution;IEEE Sensors Journal;2024-08-01

2. Denoising techniques for cephalometric x-ray images: A comprehensive review;Multimedia Tools and Applications;2023-11-09

3. The Two Faces of AI in Green Mobile Computing: A Literature Review;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

4. A parallel particle swarm optimization algorithm based on GPU/CUDA;Applied Soft Computing;2023-09

5. Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper;SIAM Journal on Imaging Sciences;2023-08-24

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