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Moe Matsuki

3 papers hereh-index 475 citations14 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedGO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery

12 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2021★ 12 cited

GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery

Takuma Yagi, Takumi Nishiyasu, Kunimasa Kawasaki +2

People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, various computational systems that provide infor…

cs.HC2020★ 2 cited

Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data

Paula Lago, Moe Matsuki, Sozo Inoue

In this study, we propose a method for single sensor-based activity recognition, trained with data from multiple sensors. There is no doubt that the performance of complex activity…

cs.CV2019★ 1 cited

Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences

Shashank Kotyan, Danilo Vasconcellos Vargas, Moe Matsuki

Neural networks have been shown vulnerable to a variety of adversarial algorithms. A crucial step to understanding the rationale for this lack of robustness is to assess the potent…

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