Junbum Cha
Junbum Cha
Clova AI, NAVER Corp.
Verified email at navercorp.com
Title
Cited by
Cited by
Year
Few-shot compositional font generation with dual memory
J Cha, S Chun, G Lee, B Lee, S Kim, H Lee
European Conference on Computer Vision (ECCV), 2020
142020
Few-shot font generation with localized style representations and factorization
S Park, S Chun, J Cha, B Lee, H Shim
arXiv preprint arxiv:2009.11042, 2020
42020
GRiD: Gathering rich data from PubMed using one-class SVM
J Cha, J Kim, S Park
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
42016
SWAD: Domain Generalization by Seeking Flat Minima
J Cha, S Chun, K Lee, H Cho, S Park, Y Lee, S Park
arXiv preprint arXiv:2102.08604, 2021
3*2021
Toward High-quality Few-shot Font Generation with Dual Memory
J Cha, S Chun, G Lee, B Lee, S Kim, H Lee
AI for Content Creation Workshop. CVPR Workshop 1 (2), 5, 2020
22020
A method for obtaining rich data from PubMed using SVM
J Cha, J Kim, Y Yeu, S Park
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 37-39, 2016
22016
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
S Park, S Chun, J Cha, B Lee, H Shim
arXiv preprint arXiv:2104.00887, 2021
2021
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model
S Park, G Kim, J Lee, J Cha, JH Kim, H Lee
Proceedings of the 28th International Conference on Computational …, 2020
2020
Group-Transformer: Towards A Lightweight Character-level Language Model
S Park, G Kim, J Lee, J Cha, JHKH Lee
2019
SESE: Inferring disease-gene relationships using Second Sentence in biological literature
J Kim, C Bak, I Kim, S Kim, J Cha, S Park
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Articles 1–10