Sanghyuk Chun
Sanghyuk Chun
Clova AI Research, NAVER Corp.
Verified email at - Homepage
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Cutmix: Regularization strategy to train strong classifiers with localizable features
S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo
The IEEE International Conference on Computer Vision (ICCV), 2019
Photorealistic Style Transfer via Wavelet Transforms
J Yoo, Y Uh, S Chun, B Kang, JW Ha
The IEEE International Conference on Computer Vision (ICCV), 2019
Multi-domain processing via hybrid denoising networks for speech enhancement
JH Kim, J Yoo, S Chun, A Kim, JW Ha
arXiv preprint arXiv:1812.08914, 2018
Toward interpretable music tagging with self-attention
M Won, S Chun, X Serra
arXiv preprint arXiv:1906.04972, 2019
Data-driven Harmonic Filters for Audio Representation Learning
M Won, S Chun, O Nieto, X Serra
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Learning De-biased Representations with Biased Representations
H Bahng, S Chun, S Yun, J Choo, SJ Oh
arXiv preprint arXiv:1910.02806, 2019
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo
ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning, 2019
Automatic Music Tagging with Harmonic CNN
M Won, S Chun, O Nieto, X Serra
Late Breaking Demo in the International Society for Music Information …, 2019
Toward High-quality Few-shot Font Generation with Dual Memory
J Cha, B Lee, S Chun, S Kim, G Lee, H Lee
AI for Content Creation Workshop (AICCW) at CVPR 2020, 2020
Evaluating Weakly Supervised Object Localization Methods Right
J Choe, SJ Oh, S Lee, S Chun, Z Akata, H Shim
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Few-shot Compositional Font Generation with Dual Memory
J Cha, S Chun, G Lee, B Lee, S Kim, H Lee
arXiv preprint arXiv:2005.10510, 2020
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
YJ Yoo, S Chun, S Yun, JW Ha, J Yoo
arXiv preprint arXiv:1910.06705, 2019
Visualizing and Understanding Self-attention based Music Tagging
M Won, S Chun, X Serra
ICML 2019 Workshop on Machine Learning for Music Discovery, 2019
Where To Be Adversarial Perturbations Added? Investigating and Manipulating Pixel Robustness Using Input Gradients
J Hwang, Y Kim, S Chun, J Yoo, JH Kim, D Han
ICLR 2019 Workshop on Debugging Machine Learning Models, 2019
A study on intelligent personalized push notification with user history
H Lee, Y Jo, S Chun, K Kim
2017 IEEE International Conference on Big Data (Big Data), 1475-1482, 2017
Scalable Iterative Algorithm for Robust Subspace Clustering: Convergence and Initialization
S Chun
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