Contact: junghyuklee at yonsei.ac.kr
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Junghyuk Lee

I am a Staff Engineer at Global AI Center of Samsung Research. I received the Ph.D. degree from Multimedia Computing and Machine Learning (MCML) Group of Yonsei University, South Korea, in 2023, under the supervision of Prof. Jong-Seok Lee and the B.S. degree in the School of Integrated Technology from Yonsei University, South Korea, in 2015.

My research interests include generative models for images & their evaluation.

Publications

Journal & Conference papers

Anomaly score: Evaluating generative models and individual generated images based on complexity and vulnerability
J. Hwang*, J. Lee*, and J.-S. Lee (*equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Detail] [arXiv]

Demystifying randomly initialized networks for evaluating generative models
J. Lee, J.-H. Kim, and J.-S. Lee
AAAI Conference on Artificial Intelligence (AAAI), vol. 37, no. 7, pp. 8482-8490, 2023
[Detail] [arXiv]

TREND: Truncated generalized normal density estimation of Inception embeddings for GAN evaluation
J. Lee and J.-S. Lee
European Conference on Computer Vision (ECCV), pp. 87-103, 2022
[Detail] [github] [arXiv]

Ambiguity of objective image quality metrics: A new methodology for performance evaluation
M. Cheon, T. Vigier, L. Krasula, J. Lee, P. Le Callet, and J.-S. Lee
Signal Processing: Image Communication, vol. 93, 2021
[Detail] [arXiv]

Wide color gamut image content characterization: Method, evaluation, and applications
J. Lee, T. Vigier, P. Le Callet, and J.-S. Lee
IEEE Transactions on Multimedia, vol. 23, pp. 3817-3827, 2020
[Detail] [arXiv]

Music popularity: Metrics, characteristics, and audio-based prediction
J. Lee and J.-S. Lee
IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 3173-3182, 2018
[Detail] [arXiv]

A perception-based framework for wide color gamut content selection
J. Lee, T. Vigier, P. Le Callet, and J.-S. Lee
IEEE International Conference on Image Processing (ICIP), pp. 709-713, 2018
[Detail]

Predicting music popularity patterns based on musical complexity and early stage popularity
J. Lee and J.-S. Lee
ACM Multimedia, Workshop on Speech, Language & Audio in Multimedia (SLAM), pp. 3-6, 2015
[Detail]

International Project

Perceptual quality evaluation of High Dynamic Range - Wide Color Gamut (HDR-WCG) content

Collaboration with LS2N, University of Nantes, France, Apr. 2016 - Mar. 2018
Science and Technology Amicable Research (STAR) Program

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Junghyuk Lee

Publications

International Project

Perceptual quality evaluation of High Dynamic Range - Wide Color Gamut (HDR-WCG) content