| An efficient 3d gaussian representation for monocular/multi-view dynamic scenes K Katsumata, DM Vo, H Nakayama arXiv preprint arXiv:2311.12897, 2023 | 26 | 2023 |
| OSSGAN: open-set semi-supervised image generation K Katsumata, DM Vo, H Nakayama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Open-set domain generalization via metric learning K Katsumata, I Kishida, A Amma, H Nakayama 2021 IEEE International Conference on Image Processing (ICIP), 459-463, 2021 | 8 | 2021 |
| Revisiting latent space of gan inversion for robust real image editing K Katsumata, DM Vo, B Liu, H Nakayama Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Semantic image synthesis from inaccurate and coarse masks K Katsumata, H Nakayama ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| A compact dynamic 3d gaussian representation for real-time dynamic view synthesis K Katsumata, DM Vo, H Nakayama European Conference on Computer Vision, 394-412, 2025 | 1 | 2025 |
| Learning method and processing apparatus regarding machine learning model classifying input image A Amma, K Katsumata, H Nakayama, I Kishida US Patent App. 17/821,909, 2023 | 1 | 2023 |
| Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data K Katsumata, DM Vo, H Nakayama Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data K Katsumata, DM Vo, T Harada, H Nakayama Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Revisiting Latent Space of GAN Inversion for Real Image Editing K Katsumata, DM Vo, B Liu, H Nakayama arXiv preprint arXiv:2307.08995, 2023 | | 2023 |
| Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space K Katsumata, DM Vo, B Liu, H Nakayama arXiv preprint arXiv:2306.00241, 2023 | | 2023 |
| Uncertainty Estimates in Deep Generative Models Using Gaussian Processes K Katsumata, R Kobayashi Advances in Visual Computing: 15th International Symposium, ISVC 2020, San …, 2020 | | 2020 |
| Supplementary Material for Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data K Katsumata, DM Vo, H Nakayama | | |
Hideki NakayamaThe University of Tokyo, ProfessorVerified email at g.ecc.u-tokyo.ac.jp
