| Learning CNN features from DE features for EEG-based emotion recognition S Hwang, K Hong, G Son, H Byun Pattern Analysis and Applications 23, 1323-1335, 2020 | 100 | 2020 |
| Feature stylization and domain-aware contrastive learning for domain generalization S Jeon, K Hong, P Lee, J Lee, H Byun Proceedings of the 29th ACM International Conference on Multimedia, 22-31, 2021 | 63 | 2021 |
| Domain-aware universal style transfer K Hong, S Jeon, H Yang, J Fu, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 60 | 2021 |
| Subject-independent EEG-based emotion recognition using adversarial learning S Hwang, M Ki, K Hong, H Byun 2020 8th international winter conference on brain-computer interface (BCI), 1-4, 2020 | 44 | 2020 |
| EZSL-GAN: EEG-based zero-shot learning approach using a generative adversarial network S Hwang, K Hong, G Son, H Byun 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2019 | 33 | 2019 |
| The feature generator of hard negative samples for fine-grained image recognition T Kim, K Hong, H Byun Neurocomputing 439, 374-382, 2021 | 10 | 2021 |
| ArrowGAN: Learning to generate videos by learning Arrow of Time K Hong, Y Uh, H Byun Neurocomputing 438, 223-234, 2021 | 8 | 2021 |
| Dreamstyler: Paint by style inversion with text-to-image diffusion models N Ahn, J Lee, C Lee, K Kim, D Kim, SH Nam, K Hong Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 674-681, 2024 | 7 | 2024 |
| Diffblender: Scalable and composable multimodal text-to-image diffusion models S Kim, J Lee, K Hong, D Kim, N Ahn arXiv preprint arXiv:2305.15194, 2023 | 7 | 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 | 6 | 2023 |
| Continuous face aging generative adversarial networks S Jeon, P Lee, K Hong, H Byun ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| Exploiting domain transferability for collaborative inter-level domain adaptive object detection M Do, S Jeon, P Lee, K Hong, Y Ma, H Byun Expert Systems with Applications 205, 117697, 2022 | 2 | 2022 |
| Interactive Cartoonization with Controllable Perceptual Factors N Ahn, P Kwon, J Back, K Hong, S Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Multi-level transferable region-based domain adaptive object detection apparatus and method HR Byun, MR Do, SK Jeon, KB Hong US Patent 11,908,170, 2024 | | 2024 |
| Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations S Jeon, B Liu, P Lee, K Hong, J Fu, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| A study on the pose estimation according to the bottom-up and top-down methods W Im, W Lee, S Kho, M Ki, K Hong, H Byun 한국정보과학회 학술발표논문집, 547-549, 2020 | | 2020 |
| Pilhyeon Lee1 Daesik Kim4 Youngjung Uh1 Hyeran Byun1 1Yonsei University 2KAIST AI 3SwatchOn 4NAVER WEBTOON AI K Hong, S Jeon, J Lee, N Ahn, K Kim | | |
| Interactive Cartoonization with Controllable Perceptual Factors (Supplementary Material) N Ahn, P Kwon, J Back, K Hong, S Kim, NW AI | | |
