• 1939 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
Image coding Engineering & Materials Science
Speech recognition Engineering & Materials Science
Scalability Engineering & Materials Science
Scalable video coding Engineering & Materials Science
Simulated annealing 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, In : Information Fusion. 51, p. 259-270 12 p.

Research output: Contribution to journalArticle

Fusion reactions
Learning systems
Degradation
Deep learning

Embracenet for activity: A deep multimodal fusion architecture for activity recognition

Choi, J. H. & Lee, J. S., 2019 Sep 9, UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, p. 693-698 6 p. (UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers).

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

Fusion reactions
Sensors

Emotion and fatigue monitoring using wearable devices

Lee, J. S., Bae, Y. S., Lee, W., Lee, H., Yu, J. & Choi, J. P., 2019 Jan 1, Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018. Bien, F., Tan, S. Y. & Hwang, S. O. (eds.). Springer Verlag, p. 91-96 6 p. (Lecture Notes in Electrical Engineering; vol. 502).

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

Fatigue of materials
Monitoring
Photoplethysmography
Skin
Sampling

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

Local Critic Training of Deep Neural Networks

Lee, H. & Lee, J. S., 2019 Jul, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851709. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

Structural optimization
Backpropagation
Neural networks
Deep neural networks