Learning Physical-Spatio-Temporal Features for Video Shadow Removal-Reference-Cited by-同舟云学术

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Learning Physical-Spatio-Temporal Features for Video Shadow Removal

Published:2024-07 Issue:7 Volume:34 Page:5830-5842
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Chen Zhihao¹^ORCID,Wan Liang¹^ORCID,Xiao Yefan¹,Zhu Lei²^ORCID,Fu Huazhu³^ORCID

Affiliation:

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

2. ROAS Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, Guangdong, China

3. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A’STAR), Fusionopolis, Singapore

Funder

Guangzhou Municipal Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10445327.pdf?arnumber=10445327

Reference74 articles.

1. Attached shadow coding: Estimating surface normals from shadows under unknown reflectance and lighting conditions

2. Rendering synthetic objects into legacy photographs

3. Estimating natural illumination from a single outdoor image

4. Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories

5. Shadow suppression using RGB and HSV color space in moving object detection;Ramesh;Int. J. Adv. Comput. Sci. Appl.,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Implicit Fourier Transform for Remote Sensing Shadow Removal;IEEE Transactions on Geoscience and Remote Sensing;2024

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