LightViD: Efficient Video Deblurring With Spatial–Temporal Feature Fusion-Reference-Cited by-同舟云学术

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LightViD: Efficient Video Deblurring With Spatial–Temporal Feature Fusion

Published:2024-08 Issue:8 Volume:34 Page:7430-7439
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 Liqun¹^ORCID,Wei Guangpeng¹,Liu Kanglin²^ORCID,Feng Wanjian³,Zhao Tiesong¹^ORCID

Affiliation:

1. Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian, China

2. Peng Cheng Laboratory, Shenzhen, China

3. Yealink, Xiamen, Fujian, China

Funder

Natural Science Foundations of Fujian Province, China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10443915.pdf?arnumber=10443915

Reference47 articles.

1. Severely Blurred Object Tracking by Learning Deep Image Representations

2. DTCM: Joint Optimization of Dark Enhancement and Action Recognition in Videos

3. Toward a Comprehensive Face Detector in the Wild

4. Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition

5. Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning

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