• 1854 Citations
  • 17 h-Index
20042019
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Fingerprint Dive into the research topics where Jong-Seok Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Electroencephalography Engineering & Materials Science
Scalability Engineering & Materials Science
Image coding Engineering & Materials Science
Scalable video coding Engineering & Materials Science
Simulated annealing Engineering & Materials Science
Speech recognition Engineering & Materials Science
Experiments Engineering & Materials Science
Image quality Engineering & Materials Science

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Research Output 2004 2019

1 Citation (Scopus)

EmbraceNet: A robust deep learning architecture for multimodal classification

Choi, J. H. & Lee, J-S., 2019 Nov 1, In : Information Fusion. 51, p. 259-270 12 p.

Research output: Contribution to journalArticle

Fusion reactions
Learning systems
Degradation
Deep learning

Generative adversarial network-based image super-resolution using perceptual content losses

Cheon, M., Kim, J. H., Choi, J. H. & Lee, J-S., 2019 Jan 1, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 51-62 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11133 LNCS).

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

Super-resolution
Trade-offs
Discrete Cosine Transform
Discrete cosine transforms
Model

On the Repeatability of EEG-Based Image Quality Assessment

Hwang, J., Moon, S. E. & Lee, J-S., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1785-1788 4 p. 8616304. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Electroencephalography
Image quality
Multimedia
Quality assessment
Data storage equipment
2 Citations (Scopus)

Confidence-based Deep Multimodal Fusion for Activity Recognition

Choi, J. H. & Lee, J-S., 2018 Oct 8, UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, p. 1548-1556 9 p.

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

Fusion reactions
Sensors
Electric fuses
Experiments
Deep learning
6 Citations (Scopus)

Deep residual network with enhanced upscaling module for super-resolution

Kim, J. H. & Lee, J-S., 2018 Dec 13, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, p. 913-921 9 p. 8575276. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2018-June).

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

Image resolution
Convolution
Deep learning