Yutaro Hirao — accepted AI-conference papers

2025

UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units

Huakun Liu, Hiroki Ota, Xin Wei, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama +1

CVPR 2025highlight

Sparse wearable inertial measurement units (IMUs) have gained popularity for estimating 3D human motion. However, challenges such as pose ambiguity, data drift, and limited adaptability to diverse bodies persist. To address these issues, we propose UMotion, an uncertainty-driven, online fusing-all s…

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2024

U2R: Underwater Ultrasonic Reflection Wave Dataset Toward Pose-Invariant Material Recognition

Mayuka Kono, Yutaro Hirao, Monica Perusquía-Hernández, Naoya Isoyama, Hideaki Uchiyama, Nobuchika Sakata +2

ICASSP 2024accepted

In underwater environments, the reflected ultrasonic waves from objects generally provide more than just information about their color and shape for object recognition. Previous studies have overlooked the influence of object pose on these wave components. It is crucial to investigate how these pose…

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