Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement

Article Properties
Cite
Yeh, Chia-Hung, et al. “Fine-Grained Video Super-Resolution via Spatial-Temporal Learning and Image Detail Enhancement”. Engineering Applications of Artificial Intelligence, vol. 131, 2024, p. 107789, https://doi.org/10.1016/j.engappai.2023.107789.
Yeh, C.-H., Yang, H.-F., Lin, Y.-Y., Huang, W.-J., Tsai, F.-H., & Kang, L.-W. (2024). Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement. Engineering Applications of Artificial Intelligence, 131, 107789. https://doi.org/10.1016/j.engappai.2023.107789
Yeh, Chia-Hung, Hsin-Fu Yang, Yu-Yang Lin, Wan-Jen Huang, Feng-Hsu Tsai, and Li-Wei Kang. “Fine-Grained Video Super-Resolution via Spatial-Temporal Learning and Image Detail Enhancement”. Engineering Applications of Artificial Intelligence 131 (2024): 107789. https://doi.org/10.1016/j.engappai.2023.107789.
1.
Yeh CH, Yang HF, Lin YY, Huang WJ, Tsai FH, Kang LW. Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement. Engineering Applications of Artificial Intelligence. 2024;131:107789.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
You May Also Like
Refrences
Title Journal Journal Categories Citations Publication Date
An efficient accelerator based on lightweight deformable 3D-CNN for video super-resolution 2023
An empirical review of deep learning frameworks for change detection: model design, experimental frameworks, challenges and research needs IEEE Transactions on Intelligent Transportation Systems
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2022
A survey on deploying mobile deep learning applications: A systemic and technical perspective Digital Communications and Networks 30 2022
ATMFN: adaptive-threshold-based multi-model fusion network for compressed face hallucination 2020
Video Enhancement with Task-Oriented Flow International Journal of Computer Vision
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 344 2019