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J-GLOBAL ID:202201016351936309   Update date: Jan. 06, 2025

Tomioka Yoichi

トミオカ ヨウイチ | Tomioka Yoichi
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Affiliation and department:
Job title: Senior Associate Professor
Research theme for competitive and other funds  (5):
  • 2020 - 2023 Development of Deepfake Detection Technologies based on Image Sensor Noise
  • 2018 - 2021 FPGA implementation of low energy asynchronous convolutional neural network circuits
  • 2014 - 2017 Establishment of Robust Source Camera Identification Technologies for Digital Images
  • 2014 - 2017 Study on deep learning hardware construction method based on synchronous shift data transfer
  • 2011 - 2013 Collaborative Patrol Course Planning System for Multiple Mobile Robots
Papers (37):
  • Zhong Zhuang, Yoichi Tomioka, Jungpil Shin, Yuichi Okuyama. PGD-Trap: Proactive Deepfake Defense with Sticky Adversarial Signals and Iterative Latent Variable Refinement. Electronics. 2024. 13. 17. 3353-3353
  • Kai Su, Yoichi Tomioka, Qiangfu ZHAO, Yong. A Selective Multi-Branch Network for Edge-Oriented Object Localization and Classification. Electronics. 2024
  • Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Yuichi Okuyama, Yoichi Tomioka, Jungpil Shin. Spatial-temporal attention with graph and general neural network-based sign language recognition. Pattern Analysis and Applications. 2024. 27. 2
  • Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, Md. Al Mehedi Hasan, Yong Seok Hwang, Akiko Megumi, Akira Yasumura, Jungpil Shin. Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks. IEEE Access. 2024. 12. 82984-82995
  • Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Yoichi Tomioka, Jungpil Shin. Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network. IEEE Open Journal of the Computer Society. 2024
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