Chul Min Yeum
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Waterloo, Smart Vision Works International (United States)as 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
- 0000-0002-7793-1079
- OpenAlex ID
- A5040980828as 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 11
Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure,
Autonomous image localization for visual inspection of civil infrastructure,
Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade,
Computer vision-based structural assessment exploiting large volumes of images,
Interactive defect quantification through extended reality,
Learning‐based image scale estimation using surface textures for quantitative visual inspection of regions‐of‐interest,
Postevent Reconnaissance Image Documentation Using Automated Classification,
Similarity learning to enable building searches in post‐event image data
+3 more
← Authored by 11
Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure,
Autonomous image localization for visual inspection of civil infrastructure,
Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade,
Computer vision-based structural assessment exploiting large volumes of images,
Interactive defect quantification through extended reality,
Learning‐based image scale estimation using surface textures for quantitative visual inspection of regions‐of‐interest,
Postevent Reconnaissance Image Documentation Using Automated Classification,
Similarity learning to enable building searches in post‐event image data
+3 more
Affiliated with 2
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Summary
Chul Min Yeum is a human[1].