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.
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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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Beyond superficial emotion recognition: Modality-adaptive emotion recognition system
Kang, D., Kim, D., Kang, D., Kim, T., Lee, B., Kim, D. & Song, B. C., Jan 2024, In: Expert Systems with Applications. 235, 121097.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Data and Model Uncertainty Aware Salient Object Detection
Lee, H., Lee, S. & Song, B. C., 2024, In: IEEE Access. 12, p. 15016-15025 10 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Fast Filter Pruning via Coarse-to-Fine Neural Architecture Search and Contrastive Knowledge Transfer
Lee, S. & Song, B. C., 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 7, p. 9674-9685 12 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
NIR to LWIR Image Translation for Generating LWIR Image Datasets
Choi, J. Y., Kang, D. G., Chang, M., Jeong, K. Y. & Song, B. C., 2024, 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024. Institute of Electrical and Electronics Engineers Inc., (2024 International Conference on Electronics, Information, and Communication, ICEIC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Optimizing Real-Time NIR Image Segmentation: Enhancing Accuracy Through Bilateral Fusion for False Negative Mitigation
Bae, H., Kang, D. G., Chang, M., Jeong, K. Y. & Song, B. C., 2024, 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024. Institute of Electrical and Electronics Engineers Inc., (2024 International Conference on Electronics, Information, and Communication, ICEIC 2024).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