• 1133 Citations
  • 16 h-Index
19962019
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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.

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

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Research Output 1996 2019

Contextual action cues from camera sensor for multi-stream action recognition

Hong, J., Cho, B., Hong, Y. W. & Byun, H., 2019 Mar 2, In : Sensors (Switzerland). 19, 6, 1382.

Research output: Contribution to journalArticle

Open Access
cues
Cues
Cameras
cameras
sensors

Face Identification for an in-vehicle Surveillance System Using Near Infrared Camera

Ki, M., Cho, B., Jeon, T., Choi, Y. & Byun, H., 2019 Feb 11, Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 8639472. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

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

Cameras
Infrared radiation
Face recognition
Feature extraction
Luminance

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. (MM 2018 - Proceedings of the 2018 ACM Multimedia Conference).

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

12 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