Projects

TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices

Wataru Kawabe, Hiroto Fukuda, Akihisa Shitara, Yuri Nakao, and Yusuke Sugano
International Journal of Human-Computer Interaction, 2026
doi, arXiv

Example-based Conditioning for Text-to-Image Generative Models

Atsushi Takada, Wataru Kawabe, and Yusuke Sugano
IEEE Access, 2024
doi

DuetML: Human-LLM Collaborative Machine Learning Framework for Non-Expert Users

Wataru Kawabe and Yusuke Sugano
SIGGRAPH Asia, Posters, 2024
doi (Poster abstract), arXiv

Interactive Material Annotation on 3D Scanned Models leveraging Color-Material Correlation

Wataru Kawabe, Taisuke Hashimoto, Fabrice Matulic, Takeo Igarashi, and Keita Higuchi
SIGGRAPH Asia, Technical Communications, 2023
doi, video

Interactive 3D Annotation of Objects in Moving Videos from Sparse Multi-View Frames

Kotaro Oomori, Wataru Kawabe, Fabrice Matulic, Takeo Igarashi, and Keita Higuchi
Proceedings of the ACM on Human-Computer Interaction, ISS, 2023
doi, video

Technical Understanding from Interactive Machine Learning Experience: A Study through a Public Event for Science Museum Visitors

Wataru Kawabe, Yuri Nakao, Akihisa Shitara, and Yusuke Sugano
Interacting with Computers, 2024
arXiv, doi

Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users

Wataru Kawabe and Yusuke Sugano
Journal of Information Processing, 2024 / IPSJ INTERACTION 2022
arXiv, doi, INTERACTION