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Author

Yasumasa Tamura

2 papers indexed here

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Open access Sep 2026

Domain-specific unsupervised pre-training for robust respiratory sound classification

This framework provides a potential scalable pathway for domains with critically limited annotated data using massive synthetic data without synthetic labels to train a lightweight classifier on limited clinical data.

Takehiro Hirasawa, Yasumasa Tamura, K. Shimizu et al. · 0 citations
Open access Jul 2026

Learning Fine-Grained Video Anomaly Detection from Normal Videos

This paper proposes a framework for unsupervised anomaly video generation from solely normal videos, leveraging VLMs to generate structured textual descriptions of anomalies conditioned on the perception of this video.

Ruqin Wang, Yasumasa Tamura, Masahito Yamamoto · 0 citations

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