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researcher

Yutaka Matsuo

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV2
  • cs.LG1
  • cs.RO1
ORCID 0000-0001-9084-9670
same name
  • Yutaka Matsuo — 67 papers, h 13
  • Yutaka Matsuo — 11 papers
  • Yutaka Matsuo — 9 papers, h 5
  • Yutaka Matsuo — 6 papers, h 4
  • Yutaka Matsuo — 5 papers, h 14
  • Yutaka Matsuo — 5 papers, h 5

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

most citedA survey of multimodal deep generative models

107 citations · 113 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 3 cited

Deep Billboards towards Lossless Real2Sim in Virtual Reality

Naruya Kondo, So Kuroki, Ryosuke Hyakuta +3

An aspirational goal for virtual reality (VR) is to bring in a rich diversity of real world objects losslessly. Existing VR applications often convert objects into explicit 3D mode…

cs.RO2022★ 2 cited

World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator

Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima +10

Tidying up a household environment using a mobile manipulator poses various challenges in robotics, such as adaptation to large real-world environmental variations, and safe and ro…

cs.LG2022★ 107 cited

A survey of multimodal deep generative models

Masahiro Suzuki, Yutaka Matsuo

Multimodal learning is a framework for building models that make predictions based on different types of modalities. Important challenges in multimodal learning are the inference o…

cs.CV2022★ 1 cited

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment

Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

Vision Transformer (ViT) is becoming more popular in image processing. Specifically, we investigate the effectiveness of test-time adaptation (TTA) on ViT, a technique that has eme…

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