DySPN: Learning Dynamic Affinity for Image-guided Depth Completion-Reference-Cited by-同舟云学术

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DySPN: Learning Dynamic Affinity for Image-guided Depth Completion

Published:2023 Issue: Volume: Page:1-1
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:

Lin Yuankai¹^ORCID,Yang Hua¹^ORCID,Cheng Tao²,Zhou Wending³,Yin Zhouping¹^ORCID

Affiliation:

1. School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China

2. College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen, China

3. Deep Bit Lab, Future Network of Intelligence Institute (FNii), Chinese University of Hong Kong, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10284921.pdf?arnumber=10284921

Cited by 2 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. Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

2. Multi-scale Spatial Propagation Network for Depth Completion;2024 4th International Conference on Computer, Control and Robotics (ICCCR);2024-04-19

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