• 1103 Citations
  • 16 h-Index
19962018
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Face recognition Engineering & Materials Science
Color Engineering & Materials Science
Image retrieval Engineering & Materials Science
Support vector machines Engineering & Materials Science
Cameras Engineering & Materials Science
Lighting Engineering & Materials Science
Classifiers Engineering & Materials Science
Traffic signs Engineering & Materials Science

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Research Output 1996 2018

All-weather road image enhancement using multicolor content-aware color constancy

Lee, D., Kim, T., Byun, H. & Choi, Y., 2018 Aug 1, In : Advances in Electrical and Computer Engineering. 18, 3, p. 67-78 12 p.

Research output: Contribution to journalArticle

Image enhancement
Traffic signs
Color
Lighting
Advanced driver assistance systems

Coview'18: The 1st workshop and challenge on comprehensive video understanding in the wild

Sohn, K., Lim, J., Yang, M. H., Hsu, J., Byun, H., Lin, S., Kim, E. & Kim, S., 2018 Oct 15, MM 2018 - Proceedings of the 2018 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 2113-2115 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Kim, H., Kim, H., Hong, Y. W. & Byun, H., 2018 Mar 1, In : Journal of Computing in Civil Engineering. 32, 2, 04017082.

Research output: Contribution to journalArticle

Construction equipment
Construction industry
Trucks
Concrete mixers
Excavators
1 Citations (Scopus)

Exploiting web images for video highlight detection with triplet deep ranking

Kim, H., Mei, T., Byun, H. & Yao, T., 2018 Sep 1, In : IEEE Transactions on Multimedia. 20, 9, p. 2415-2426 12 p., 8291744.

Research output: Contribution to journalArticle

Search engines
Convolution
Support vector machines
Scalability
Neural networks

Multi-task joint learning for videos in the wild

Hong, Y. W., Kim, H. & Byun, H., 2018 Oct 15, CoVieW 2018 - Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, co-located with MM 2018. Association for Computing Machinery, Inc, p. 27-30 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fusion reactions
Joints
Learning
Weights and Measures
Neural networks