| 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 | 75 | 2017 |
| 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, 2020 | 50 | 2020 |
| 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 | 37 | 2021 |
| 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 | 17 | 2022 |
| Semantic-aware neural style transfer JH Park, S Park, H Shim Image and Vision Computing 87, 13-23, 2019 | 10 | 2019 |
| Styleaugment: Learning texture de-biased representations by style augmentation without pre-defined textures S Chun, S Park arXiv preprint arXiv:2108.10549, 2021 | 4 | 2021 |
| 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 | 3 | 2022 |
| SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage S Park, S Chun, B Heo, W Kim, S Yun arXiv preprint arXiv:2303.11114, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
Sanghyuk ChunNAVER AI LabVerified email at navercorp.com
