Group-based bi-directional recurrent wavelet neural network for efficient video super-resolution (VSR)-Reference-Cited by-同舟云学术

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Group-based bi-directional recurrent wavelet neural network for efficient video super-resolution (VSR)

Published:2022-12 Issue: Volume:164 Page:246-253
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Choi Young-Ju,Lee Young-Woon,Kim Byung-Gyu^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. Dictionary-based multiple frame video super-resolution;Dai,2015

2. Video super-resolution via deep draft-ensemble learning;Liao,2015

3. EDVR: Video restoration with enhanced deformable convolutional networks;Wang,2019

4. Learning a deep dual attention network for video super-resolution;Li;IEEE Trans. Image Process.,2020

5. Video super-resolution based on a spatio-temporal matching network;Zhu;Pattern Recognit,2021

Cited by 3 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. Memory-based gradient-guided progressive propagation network for video deblurring;The Visual Computer;2024-03-06

2. HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution;Applied Soft Computing;2023-08

3. ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection;Sensors;2023-04-30

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