Research output per year
Research output per year
Personal profile
Education
PhD: Electrical Engineering / KAIST / Korea
MS: Electrical Engineering / KAIST / Korea
BS: Electrical Engineering / KAIST / Korea
MS: Electrical Engineering / KAIST / Korea
BS: Electrical Engineering / KAIST / Korea
Research Interests
Computer Vision, Image Processing, Deep learning
Major Research Achievements
Dae Ha Kim and Byung Cheol Song, “Virtual Sample-based Deep Metric Learning using Discriminant Analysis," Pattern Recognition, 2021.
Seunghyun Lee and Byung Cheol Song, “Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems, 2021.
Kang Il Lee, Jung Ho Jeon and Byung Cheol Song, “Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System,” ECCV 2020.
Seunghyun Lee and Byung Cheol Song, “Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network,” AAAI 2021.
Dae Ha Kim and Byung Cheol Song, “Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition,” AAAI 2021.
Dae Ha Kim and Byung Cheol Song, “Hidden Emotion Detection using Multi-modal Signals,” CHI 2021.
Seunghyun Lee and Byung Cheol Song, “Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems, 2021.
Kang Il Lee, Jung Ho Jeon and Byung Cheol Song, “Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System,” ECCV 2020.
Seunghyun Lee and Byung Cheol Song, “Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network,” AAAI 2021.
Dae Ha Kim and Byung Cheol Song, “Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition,” AAAI 2021.
Dae Ha Kim and Byung Cheol Song, “Hidden Emotion Detection using Multi-modal Signals,” CHI 2021.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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All You Need Is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation
Kim, S. & Song, B. C., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 347-363 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15122 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Analysis of Filter Index Alignment in Image Super-Resolution Pruning
Park, J. & Song, B. C., 2025, 2025 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2025. Institute of Electrical and Electronics Engineers Inc., (2025 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Compressing Neural Networks on Limited Computing Resources
Lee, S., Lee, D., Hyun, M., Kim, H. & Song, B. C., 2025, In: IEEE Access. 13, p. 80063-80075 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
DIRE: Enhancing Facial Expression Recognition through Domain-Invariant Representation Learning for Robust Generalization
Kim, H., Jung, Y. & Song, B. C., 2025, (Accepted/In press) In: IEEE Transactions on Multimedia.Research output: Contribution to journal › Article › peer-review
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Efficient 3D Human Body Reconstruction from Monocular Video with Depth-Guided Learning
Jeong, T., Marchellus, M., Hong, S. E., Song, B. C., Shin, B. S. & Park, I. K., 2025, Recent Trends of AI Technologies and Virtual Reality - Proceedings of 8th International Conference on Artificial Intelligence and Virtual Reality AIVR 2024. Nakamatsu, K., Kountcheva, R. & Patnaik, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 461-478 18 p. (Smart Innovation, Systems and Technologies; vol. 432 SIST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Research from Inha University Broadens Understanding of Engineering (Improving Vision Transformers to Learn Small-Size Dataset From Scratch)
21/12/22
1 item of Media coverage
Press/Media