Young‐Jin Yoon
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Jeonbuk National Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-6632-9234
- OpenAlex ID
- A5027204382as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 4
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images,
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution,
Light-Field Image Super-Resolution Using Convolutional Neural Network,
Machine-learning-based compressor models: A case study for variable refrigerant flow systems
← Authored by 4
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images,
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution,
Light-Field Image Super-Resolution Using Convolutional Neural Network,
Machine-learning-based compressor models: A case study for variable refrigerant flow systems
Affiliated with 2
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Summary
Young‐Jin Yoon is a human[1].