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Naoya Yoshimura

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

7

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2025PERCOMMultilevel Transfer Learning for Complex Work Activity Recognition in Logistic Domain.Jaime Morales, Qingxin Xia, Naoya Yoshimura, Hirotomo Oshima, Masamitsu Fukuda, Yasuo Namioka, Takuya Maekawa
2024HICBrief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the Dataset.Takuya Maekawa, Naoya Yoshimura, Jaime Morales, Takahiro Hara
2024PERCOMOpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments.Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara
2024PERCOMArtifact: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in Logistic Environments.Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara
2023MDMRecent Trends in Sensor-based Activity Recognition.Takuya Maekawa, Qingxin Xia, Ryoma Otsuka, Naoya Yoshimura, Kei Tanigaki
2022HRIHugmon: Exploration of Affective Movements for Hug Interaction using Tensegrity Robot.Naoya Yoshimura, Yushi Sato, Yuta Kageyama, Jun Murao, Satoshi Yagi, Parinya Punpongsanon
2022PERCOMAcceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks.Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa
2021IJCNNToward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization.Naoya Yoshimura, Takuya Maekawa, Takahiro Hara
2019CHIExtending Discrete Verbal Commands with Continuous Speech for Flexible Robot Control.Naoya Yoshimura, Hironori Yoshida, Fabrice Matulic, Takeo Igarashi
2019ICDCSUpsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks.Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018PERCOMPreliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution.Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara