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 | 411 | 2021 |
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 | 134 | 2022 |
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 | 88 | 2020 |
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 | 86 | 2021 |
Multiple heads are better than one: Few-shot font generation with multiple localized experts S Park ArXiv abs/2104 887, 2021 | 77 | 2021 |
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 | 70 | 2023 |
Honeybee: Locality-enhanced projector for multimodal llm J Cha, W Kang, J Mun, B Roh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 59 | 2024 |
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 | 7 | 2022 |
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 | 4 | 2020 |
Generative adversarial networks comparison without cherry-picking J Cha https://github.com/khanrc/tf.gans-comparison, 2017 | 4* | 2017 |
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 | 4 | 2016 |
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 | 3 | 2016 |
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 | 1 | 2023 |
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 | 1 | 2020 |
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 | | |
Grounded Contrastive Learning for Open-world Semantic Segmentation J Cha, J Mun, B Roh | | |