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Junbum Cha
Junbum Cha
Kakao Brain
Bestätigte E-Mail-Adresse bei kakaobrain.com
Titel
Zitiert von
Zitiert von
Jahr
SWAD: Domain Generalization by Seeking Flat Minima
J Cha, S Chun, K Lee, H Cho, S Park, Y Lee, S Park
Advances in Neural Information Processing Systems (NeurIPS), 2021
3042021
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
J Cha, K Lee, S Park, S Chun
European Conference on Computer Vision (ECCV), 2022
952022
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
702020
Few-shot font generation with localized style representations and factorization
S Park, S Chun, J Cha, B Lee, H Shim
Proceedings of the AAAI conference on artificial intelligence 35 (3), 2393-2402, 2021
632021
Multiple heads are better than one: Few-shot font generation with multiple localized experts
S Park, S Chun, J Cha, B Lee, H Shim
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
492021
Learning to generate text-grounded mask for open-world semantic segmentation from only image-text pairs
J Cha, J Mun, B Roh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
322023
Honeybee: Locality-enhanced projector for multimodal llm
J Cha, W Kang, J Mun, B Roh
arXiv preprint arXiv:2312.06742, 2023
72023
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, 2022
42022
Toward high-quality few-shot font generation with dual memory
J Cha, S Chun, G Lee, B Lee, S Kim, H Lee
IEEE Conf. Comput. Vis. Pattern Recog. Worksh 1, 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
Generative adversarial networks comparison without cherry-picking
J Cha
https://github.com/khanrc/tf.gans-comparison, 2017
3*2017
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
32016
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
12020
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection
S Kang, J Cha, J Mun, B Roh, CD Yoo
arXiv preprint arXiv:2312.02103, 2023
2023
Grounded Contrastive Learning for Open-world Semantic Segmentation
J Cha, J Mun, B Roh
2022
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Y Lee, T Hong, HC Cho, J Cha, S Kim
arXiv preprint arXiv:2111.10794, 2021
2021
Group-Transformer: Towards A Lightweight Character-level Language Model
S Park, G Kim, J Lee, J Cha, JHKH Lee
2019
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