Suha Kwak
researcher
Facts
10 properties- Instance of
- human
- Country of citizenship
- South Korea[2]
- Occupation
- artificial intelligence researcher
- Employer
- Daegu Gyeongbuk Institute of Science and Technology, Pohang University of Science and Technology[3][4]
- Official website
- suhakwak.github.io[9]
- Doctoral advisor
- Bohyung Han[6]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Suha Kwak
ko 곽수하
🔖 Identifiers · 13
- ISNI
- 0000000493067465
- ORCID iD
- 0000-0002-4567-9091
- VIAF cluster ID
- 110161272091047441622
- OpenAlex ID
- A5060343759, A5101352002, A5148122802as 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
- DBLP author ID
- 65/6173
- GitHub account
- suhakwak
- Google Scholar author ID
- -gscDIEAAAAJ
- IEEE Xplore author ID
- 37086204638
- LinkedIn personal profile ID
- suha-kwak-bab44a62
- National Library of Korea ID
- KAC2020A2303
- OpenReview.net profile ID
- Suha_Kwak3
- Scopus author ID
- 26422269000
Show all 13 identifiers +1
- Semantic Scholar author ID
- 2483916
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 28
Adaptive Superpixel for Active Learning in Semantic Segmentation,
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer,
Collaborative Transformers for Grounded Situation Recognition,
Deep Metric Learning Beyond Binary Supervision,
Detector-Free Weakly Supervised Group Activity Recognition,
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation,
Embedding Transfer with Label Relaxation for Improved Metric Learning,
Extending CLIP’s Image-Text Alignment to Referring Image Segmentation
+20 more
← Authored by 28
Adaptive Superpixel for Active Learning in Semantic Segmentation,
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer,
Collaborative Transformers for Grounded Situation Recognition,
Deep Metric Learning Beyond Binary Supervision,
Detector-Free Weakly Supervised Group Activity Recognition,
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation,
Embedding Transfer with Label Relaxation for Improved Metric Learning,
Extending CLIP’s Image-Text Alignment to Referring Image Segmentation
+20 more
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Summary
Suha Kwak worked as an artificial intelligence researcher[1].
Body
Career and Affiliations
Employers include Daegu Gyeongbuk Institute of Science and Technology[3], a research university[10], in South Korea[11], founded in 2004[12] and Pohang University of Science and Technology[4], a private university[13], in South Korea[14], founded in 1986[15].
FAQs
What did Suha Kwak do for work?
Suha Kwak worked as artificial intelligence researcher[1].
Where did Suha Kwak go to school?
Suha Kwak was educated at Pohang University of Science and Technology[5].