| 2025 | IROS | Multi-PrefDrive: Optimizing Large Language Models for Autonomous Driving Through Multi-Preference Tuning. | Yun Li, Ehsan Javanmardi, Simon Thompson, Kai Katsumata, Alex Orsholits, Manabu Tsukada |
| 2024 | ECCV | A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis. | Kai Katsumata, Duc Minh Vo, Hideki Nakayama |
| 2024 | WACV | Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. | Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama |
| 2024 | WACV | Revisiting Latent Space of GAN Inversion for Robust Real Image Editing. | Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama |
| 2024 | WACV | Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data. | Kai Katsumata, Duc Minh Vo, Hideki Nakayama |
| 2022 | CVPR | OSSGAN: Open-Set Semi-Supervised Image Generation. | Kai Katsumata, Duc Minh Vo, Hideki Nakayama |
| 2021 | ICASSP | Semantic Image Synthesis from Inaccurate and Coarse Masks. | Kai Katsumata, Hideki Nakayama |
| 2021 | ICIP | Open-Set Domain Generalization VIA Metric Learning. | Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama |
| 2020 | ISVC | Uncertainty Estimates in Deep Generative Models Using Gaussian Processes. | Kai Katsumata, Ryoga Kobayashi |