If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Sanghoon Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Quality of service Engineering & Materials Science
Orthogonal frequency division multiplexing Engineering & Materials Science
Throughput Engineering & Materials Science
Beamforming Engineering & Materials Science
Display devices Engineering & Materials Science
Entropy Engineering & Materials Science
Image quality Engineering & Materials Science
Wireless networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

A Simple Method on Generating Synthetic Data for Training Real-time Object Detection Networks

Huh, J., Lee, K., Lee, I. & Lee, S., 2019 Mar 4, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1518-1522 5 p. 8659778. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

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

Augmented reality
Detectors
Labeling
Degradation
Object detection
7 Citations (Scopus)

Deep CNN-Based Blind Image Quality Predictor

Kim, J., Nguyen, A. D. & Lee, S., 2019 Jan, In : IEEE Transactions on Neural Networks and Learning Systems. 30, 1, p. 11-24 14 p., 8383698.

Research output: Contribution to journalArticle

Image quality
Neural networks
Image recognition
Computer vision
Image processing
2 Citations (Scopus)

Deep Visual Saliency on Stereoscopic Images

Nguyen, A. D., Kim, J., Oh, H., Kim, H., Lin, W. & Lee, S., 2019 Apr, In : IEEE Transactions on Image Processing. 28, 4, p. 1939-1953 15 p., 8520871.

Research output: Contribution to journalArticle

Image quality
Image reconstruction
Network architecture
Luminance
Neural networks

Error detection algorithm for Lempel-Ziv-77 compressed data

Kwon, B. & Lee, S., 2019 Apr, In : Journal of Communications and Networks. 21, 2, p. 100-112 13 p., 8718090.

Research output: Contribution to journalArticle

Error detection
Redundancy
1 Citation (Scopus)

Identification and Restoration of LZ77 Compressed Data Using a Machine Learning Approach

Kwon, B., Gong, M., Huh, J. & Lee, S., 2019 Mar 4, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1787-1790 4 p. 8659755. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

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

Parameter estimation
Restoration
Learning systems
Identification (control systems)
Digital forensics