| Stargan v2: Diverse image synthesis for multiple domains Y Choi, Y Uh, J Yoo, JW Ha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1863 | 2020 |
| Photorealistic style transfer via wavelet transforms J Yoo, Y Uh, S Chun, B Kang, JW Ha Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 394 | 2019 |
| Reliable fidelity and diversity metrics for generative models MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo International Conference on Machine Learning, 7176-7185, 2020 | 325 | 2020 |
| Background suppression network for weakly-supervised temporal action localization P Lee, Y Uh, H Byun Proceedings of the AAAI conference on artificial intelligence 34 (07), 11320 …, 2020 | 246 | 2020 |
| Diffusion models already have a semantic latent space M Kwon, J Jeong, Y Uh arXiv preprint arXiv:2210.10960, 2022 | 177 | 2022 |
| Exploiting spatial dimensions of latent in gan for real-time image editing H Kim, Y Choi, J Kim, S Yoo, Y Uh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 170 | 2021 |
| Adamp: Slowing down the slowdown for momentum optimizers on scale-invariant weights B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha arXiv preprint arXiv:2006.08217, 2020 | 166 | 2020 |
| Rethinking the truly unsupervised image-to-image translation K Baek, Y Choi, Y Uh, J Yoo, H Shim Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 118 | 2021 |
| In-sample contrastive learning and consistent attention for weakly supervised object localization M Ki, Y Uh, W Lee, H Byun Proceedings of the Asian conference on computer vision, 2020 | 35 | 2020 |
| Understanding the latent space of diffusion models through the lens of riemannian geometry YH Park, M Kwon, J Choi, J Jo, Y Uh Advances in Neural Information Processing Systems 36, 24129-24142, 2023 | 29 | 2023 |
| Feature statistics mixing regularization for generative adversarial networks J Kim, Y Choi, Y Uh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 21 | 2022 |
| Training-free style transfer emerges from h-space in diffusion models J Jeong, M Kwon, Y Uh arXiv preprint arXiv:2303.15403 3, 2023 | 19 | 2023 |
| Unsupervised discovery of semantic latent directions in diffusion models YH Park, M Kwon, J Jo, Y Uh arXiv preprint arXiv:2302.12469, 2023 | 17 | 2023 |
| AesPA-Net: Aesthetic pattern-aware style transfer networks K Hong, S Jeon, J Lee, N Ahn, K Kim, P Lee, D Kim, Y Uh, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| Contrastive attention maps for self-supervised co-localization M Ki, Y Uh, J Choe, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| Exploiting hierarchical visual features for visual question answering J Hong, J Fu, Y Uh, T Mei, H Byun Neurocomputing 351, 187-195, 2019 | 13 | 2019 |
| Lanit: Language-driven image-to-image translation for unlabeled data J Park, S Kim, S Kim, S Cho, J Yoo, Y Uh, S Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 11 | 2023 |
| ArrowGAN: Learning to generate videos by learning Arrow of Time K Hong, Y Uh, H Byun Neurocomputing 438, 223-234, 2021 | 9 | 2021 |
| Efficient multiview stereo by random-search and propagation Y Uh, Y Matsushita, H Byun 2014 2nd International Conference on 3D Vision 1, 393-400, 2014 | 9 | 2014 |
| Training-free Content Injection using h-space in Diffusion Models J Jeong, M Kwon, Y Uh Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6 | 2024 |
Jaejun YooAssistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNISTGeverifieerd e-mailadres voor unist.ac.kr
