Structure-Informed Shadow Removal Networks-Reference-Cited by-同舟云学术

Structure-Informed Shadow Removal Networks

Published:2023 Issue: Volume:32 Page:5823-5836
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Liu Yuhao¹^ORCID,Guo Qing²^ORCID,Fu Lan³^ORCID,Ke Zhanghan¹,Xu Ke¹^ORCID,Feng Wei⁴^ORCID,Tsang Ivor W.²^ORCID,Lau Rynson W. H.¹^ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

2. Institute of High Performance Computing (IHPC) and the Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore

3. InnoPeak Technology Inc., Palo Alto, CA, USA

4. College of Intelligence and Computing, Tianjin University, Tianjin, China

Funder

Strategic Research Grant (SRG) Grants from the City University of Hong Kong

National Research Foundation, Singapore, and Defence Science Organisation (DSO) National Laboratories under the AI Singapore Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10287249.pdf?arnumber=10287249

Reference64 articles.

1. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc NIPS,2012

2. From Shadow Segmentation to Shadow Removal

3. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

4. Structure-preserving image smoothing via region covariances

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