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Song Park
Song Park
NAVER AI Lab
Verified email at navercorp.com - Homepage
Title
Cited by
Cited by
Year
Few-shot font generation with localized style representations and factorization
S Park, S Chun, J Cha, B Lee, H Shim
AAAI Conference on Artificial Intelligence, 2021
952021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
S Park, S Chun, J Cha, B Lee, H Shim
International Conference on Computer Vision (ICCV), 2021
892021
Face generation for low-shot learning using generative adversarial networks
J Choe, S Park, K Kim, J Hyun Park, D Kim, H Shim
Proceedings of the IEEE international conference on computer vision …, 2017
822017
Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco
S Chun, W Kim, S Park, M Chang, SJ Oh
European Conference on Computer Vision, 1-19, 2022
452022
Rotary position embedding for vision transformer
B Heo, S Park, D Han, S Yun
European Conference on Computer Vision, 289-305, 2025
172025
Semantic-aware neural style transfer
JH Park, S Park, H Shim
Image and Vision Computing 87, 13-23, 2019
172019
Seit: Storage-efficient vision training with tokens using 1% of pixel storage
S Park, S Chun, B Heo, W Kim, S Yun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
132023
Few-shot font generation with weakly supervised localized representations
S Park, S Chun, J Cha, B Lee, H Shim
IEEE transactions on pattern analysis and machine intelligence 46 (3), 1479-1495, 2022
112022
Styleaugment: Learning texture de-biased representations by style augmentation without pre-defined textures
S Chun, S Park
arXiv preprint arXiv:2108.10549, 2021
82021
Similarity of Neural Architectures Based on Input Gradient Transferability
J Hwang, D Han, B Heo, S Park, S Chun, JS Lee
arXiv preprint arXiv:2210.11407, 2022
32022
SeiT++: Masked Token Modeling Improves Storage-efficient Training
M Lee, S Park, B Heo, D Han, H Shim
arXiv preprint arXiv:2312.10105, 2023
2023
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Articles 1–11