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Kai Katsumata
Kai Katsumata
Verified email at g.ecc.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
An efficient 3d gaussian representation for monocular/multi-view dynamic scenes
K Katsumata, DM Vo, H Nakayama
arXiv preprint arXiv:2311.12897, 2023
232023
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
92022
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
62021
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
32024
Semantic image synthesis from inaccurate and coarse masks
K Katsumata, H Nakayama
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
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
12023
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
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