Kai Katsumata

According to our database, Kai Katsumata authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

PrefDrive: Enhancing Autonomous Driving Through Preference-Guided Large Language Models.

Yun Li, Ehsan Javanmardi, Simon Thompson, Kai Katsumata, Alex Orsholits, Manabu Tsukada

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data.

Kai Katsumata, Duc Minh Vo, Hideki Nakayama

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Revisiting Latent Space of GAN Inversion for Robust Real Image Editing.

Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data.

Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Large Language Models for Human-Like Autonomous Driving: A Survey.

Yun Li, Kai Katsumata, Ehsan Javanmardi, Manabu Tsukada

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis.

Kai Katsumata, Duc Minh Vo, Hideki Nakayama

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes.

Kai Katsumata, Duc Minh Vo, Hideki Nakayama

CoRR, 2023

Revisiting Latent Space of GAN Inversion for Real Image Editing.

Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama

CoRR, 2023

Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space.

Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama

CoRR, 2023

2022

OSSGAN: Open-Set Semi-Supervised Image Generation.

Kai Katsumata, Duc Minh Vo, Hideki Nakayama

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Open-Set Domain Generalization VIA Metric Learning.

Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semantic Image Synthesis from Inaccurate and Coarse Masks.

Kai Katsumata, Hideki Nakayama

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Uncertainty Estimates in Deep Generative Models Using Gaussian Processes.

Kai Katsumata, Ryoga Kobayashi

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020