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Author

Satoshi Suzuki

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#machine learning Preprint Oct 2026

A Riemannian Geometry for Low-rank Adaptation

Low-rank adaptation (LoRA) is widely used as a parameter-efficient fine-tuning technique for pre-trained deep neural networks, which approximates the weight update via full fine-tuning by a low-rank matrix $BA^\top$. This parameterization leads to the equivalence relation $(B, A) \sim (BG^{-1}, AG^\top)$ for any invert...

Shoichiro Takeda, Shin'ya Yamaguchi, Satoshi Suzuki et al. · 0 citations
Preprint Aug 2026

MV2GF: Multi-view Pedestrian Detection with a Visual Geometric Foundation Model

Multi-View Pedestrian Detection (MVPD) aims to detect pedestrians in the form of a bird's eye view map from multi-view images. Recent MVPD methods adopt a unified framework that projects 2D image features into a 3D world space and aggregates them into a single feature. Although they are effective, they struggle to gene...

Taiga Yamane, Satoshi Suzuki, Ryo Masumura et al. · 0 citations

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