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Yuki M. Asano

4 papers hereh-index 217 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Yuki M. Asano — 9 papers, h 9
  • Yuki M. Asano — 6 papers, h 3
  • Yuki M. Asano — 4 papers, h 4
  • Yuki M. Asano — 2 papers, h 2
  • Yuki M. Asano — 2 papers, h 2
  • Yuki M. Asano — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Physics-IQ Verified

Tim Rädsch, Yuki M Asano, Hilde Kuehne +4

Video generative models ( VGMs) have become a new frontier that can be used not just for video generation but for a multitude of downstream tasks, including world modeling. To adva…

cs.CV2026

MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness

Yuto Matsuo, Yoshihiro Fukuhara, Yuki M. Asano +3

Data augmentation is a key technique for improving the robustness of image classification models. However, many recent approaches rely on diffusion-based synthesis or complex featu…

cs.CV2026

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds

Ryousuke Yamada, Kohsuke Ide, Yoshihiro Fukuhara +4

Despite recent progress in 3D self-supervised learning, collecting large-scale 3D scene scans remains expensive and labor-intensive. In this work, we investigate whether 3D represe…

cs.CV2025

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding

Kohei Torimi, Ryosuke Yamada, Daichi Otsuka +4

Zero-shot recognition models require extensive training data for generalization. However, in zero-shot 3D classification, collecting 3D data and captions is costly and laborintensi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.