Professor Emeritus Kiyoharu Aizawa has been selected to receive the NHK Broadcasting Culture Award.
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NHK Broadcasting Culture Award
2026/02
Accepted for EACL2026
2026/01
The following paper was accepted for EACL2026 findings.
- MangaVQA and MangaLMM: A Benchmark and Specialized Model for
Multimodal Manga Understanding
J.Baek, K. Egashira, S. Onohara, A. Miyai, Y. Imajuku, H. Ikuta, K. Aizawa.
Accepted for IEEE TVCG
2025/10
The following paper was accepted for IEEE Trans. Visualization and Computer Graphics.
- 360CityGML: Realistic and Interactive Urban Visualization System Integrating CityGML Model and 360° Videos
T. Banno, M. Takenawa, L. Wöhler, S. Ikehata, K. Aizawa.
EXPO 2025 Exhibition
2025/10
We created a virtual experience of TAKANAWA GATEWAY CITY using Movie Map technology in collaboration with JR East for TEAM EXPO 2025 at the Kansai Expo. We exhibited and held an experience session on October 11th.
Accepted for Multimedia Tools and Applications, Springer
2025/09
The following paper was accepted for MTAP.
- Building and Evaluating a Realistic Virtual World for Large Scale Urban Exploration from 360° Videos
Mizuki Takenawa, Naoki Sugimoto, Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa.
Accepted for Frontiers in Virtual Reality
2025/08
The following papers were accepted for Frontiers in Virtual Reality.
- Visual Attention and Cognitive Effects of Facial Anonymization in 360°Videos
Leslie Woehler, Satoshi Ikehata, Kiyoharu Aizawa.
Accepted for ACM Multimedia
2025/08
The following papers were accepted for ACM Multimedia2025.
- A Highly Clean Recipe Dataset with Ingredient States Annotation for State Probing Task
Mashiro Toyooka, Kiyoharu Aizawa, Yoko Yamakata - FoolLogAthl-218: Constructiong a Real-World Food Image Dataset Using Dietary Management Applications
Mitsuki Watanabe, Sosuke Amano, Kiyoharu Aizawa, Yoko Yamakata