業績リスト/Publication
<学術論文 /Journal>
- 29. Md Symun Rabby, Md Merajul Islam, Sujit Kumar, Md Maniruzzaman, Md Al Mehedi Hasan, Yoichi Tomioka, Jungpil Shin. "Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches" PLOS ONE 20(2): e0317296. https://doi.org/10.1371/journal.pone.0317296
- 28. Zhuang, Zhong, Yoichi Tomioka, Jungpil Shin, and Yuichi Okuyama. "PGD-Trap: Proactive Deepfake Defense with Sticky Adversarial Signals and Iterative Latent Variable Refinement" Electronics 13, no. 17: 3353. https://doi.org/10.3390/electronics13173353
- 27. Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, Md. Al Mehedi Hasan, Yong Seok Hwang, and Akiko Megumi, Akira Yasumura, and Jungpil Shin, "Machine Learning-based ADHD Detection from fNIRs Signal during Reverse Stroop Tasks," in IEEE Access, vol.12, pp. 82984-82995, 2024, doi: 10.1109/ACCESS.2024.3411558.
- 26. Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu, "YOLIC: An efficient method for object localization and classification on edge devices, Image and Vision Computing," 2024, 105095, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2024.105095.
- 25. Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Yuichi Okuyama, Yoichi Tomioka, and Jungpil Shin. "Spatial–temporal attention with graph and general neural network-based sign language recognition." Pattern Anal Applic vol. 27, no. 37, 2024. https://doi.org/10.1007/s10044-024-01229-4
- 24. Kai Su, Yoichi Tomioka, Qiangfu Zhao, and Yong Liu. 2024. "A Selective Multi-Branch Network for Edge-Oriented Object Localization and Classification" Electronics 13, no. 8: 1472. https://doi.org/10.3390/electronics13081472
- 23. Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Yoichi Tomioka, and 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. doi: 10.1109/OJCS.2024.3370971
- 22. Akihisa Kawabe, Ryuto Haga, Yoichi Tomioka, Jungpil Shin, and Yuichi Okuyama. 2023. "A Dynamic Ensemble Selection of Deepfake Detectors Specialized for Individual Face Parts" Electronics 12, no. 18: 3932. https://doi.org/10.3390/electronics12183932
- 21. Istiak Mahmud, Md. Mohsin Kabir, Jungpil Shin, Chayan Mistry, Yoichi Tomioka, M. F. Mridha, "Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection," in IEEE Access, vol. 11, pp. 99519-99534, 2023.
- 20. Ruhul Amin, Md Shamim Reza, Yuichi Okuyama, Yoichi Tomioka, Jungpil Shin
"A Fine-Tuned Hybrid Stacked CNN to Improve Bengali Handwritten Digit Recognition",
Electronics 12(15), 2023.
- 19. Rei Egawa, Abu Saleh Musa Miah, Koki Hirooka, Yoichi Tomioka, Jungpil Shin,
"Dynamic Fall Detection Using Graph-Based Spatial Temporal Convolution and Attention Network",
Electronics 12(15), 2023.
- 18. Md. Moazzem Hossain, Md. Ali Hossain, Abu Saleh Musa Miah, Yuichi Okuyama, Yoichi Tomioka, JUNGPIL SHIN,
"Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network",
Electronics 12(1), 2023.
- 17. Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Jungpil Shin, Yuichi Okuyama, Yoichi Tomioka,
"Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition",
Computers 12(1), 2023.
- 16. Kuan-Yu Chen, Jungpil Shin, Md. Al Mehedi Hasan, Jiun-Jian Liaw, Okuyama Yuichi, and Yoichi Tomioka,
"Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network",
Sensors, 22(15), July, 2022.
- 15. Stanislav SEDUKHIN, Yoichi TOMIOKA, and Kohei YAMAMOTO, "In Search of the Performance- and
Energy-Efficient CNN Accelerators", IEICE Trans. on Electronics, Vol.E105-C, No.6, pp.209-221, Jun. 2022.
- 14. Reon Sato, Hiroshi Saito, Yoichi Tomioka, and Yukihide Kohira, "Energy Reduction Methods for Wild Animal Detection Devices",
IEEE Access, Vol.10, pp.24149-24161, Feb. 2022.
- 13. Hiroshi SAITO, Tatsuki OTAKE, Hayato KATO, Masayuki TOKUTAKE, Shogo SEMBA, Yoichi TOMIOKA, and Yukihide
KOHIRA, "Battery-powered Wild Animal Detection Nodes with Deep Learning", IEICE Trans. on Communications, Vol.103-B, No.12,
pp. 1394-1402, 2020.

- 12. Shota Saito, Yoichi Tomioka, Hitoshi Kitazawa, "A Theoretical Framework for Estimating False Acceptance
Rate of PRNU-based Camera Identification", IEEE Trans. on Information Forensics and Security, Vol. 12, Issue
9, pp. 2026-2035, Sep. 2017.
<国際会議 /International Conferences>
- 48. Ali Haider Alvi, Yoichi Tomioka, Yuichi Okuyama, Jungpil Shin,
"Deadline-Driven CNN Model Based on Residual Quantization,"
In Proc. of 2025 International Conference on Electronics, Information, and Communication (ICEIC), WEIE workshop, Jan. 2025.
- 47. Kenta Hosoya, Yuichi Okuyama, Sugaya Shun, Riku Oyama, Satoshi Nisimura, Yoichi Tomioka, Jungpil Shin,
"Road Surface Extraction and Object Elimination for Autonomous Driving Simulators Based on Neural Radiance Field,"
In Proc. of IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2024), pp. 332-338, Dec. 2024.
- 46. Yamato Saikawa, Yoichi Tomioka
"Approximated Triple Modular Redundancy of Convolutional Neural Networks Based on Residual Quantization,"
In Proc. of IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2024), pp. 332-338, Dec. 2024.
- 45. Masahiro Ishii, Kai Su, Yoichi Tomioka, Hiroshi Saito
"Efficient and Fault-tolerant Object Localization and Classification Based on an Ensemble of Dual Ternary YOLIC Models,"
In Proc. of IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2024), pp. 332-338, Dec. 2024.
- 44. Shogo Semba, Hiroshi Saito, Yoichi Tomioka, Yukihide Kohira
"A Battery-Powered Wild Animal Tracking Device Using a PTZ Camera and Deep Learning,"
In Proc. of 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3181-3186, Oct. 2024.
- 43. Jungpil Shin, Abu Saleh Musa Miah, Md Al Mehedi Hasan, Yuichi Okuyama, Yoichi Tomioka, "Fall Detection Using Angle-Based Feature Extraction from Human Skeleton and Machine Learning Approach," International Conference on Deep Learning and Visual Artificial Intelligence, pp. 249-263, 2024.
- 42. Y. Suzuki, S. Semba, Y. Tomioka and H. Saito, "Autonomous Driving Robot Using FPGA and BNN with Random Forest," In Prof. of 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore, pp. 433-440, 2023
- 41. Shunsuke Koeda, Yoichi Tomioka, and Hiroshi Saito
"Fault-Tolerant Ensemble CNNs Increasing Diversity Based on Knowledge Distillation,"
In Proc. of IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2023), pp. 399-405, Dec. 2023.
- 40. Hemel Sharker Akash, Md Abdur Rahim, Abu Saleh Musa Miah, Yuichi Okuyama, Yoichi Tomioka, Jungpil Shin, "Generalized Technique for Potato Leaves Disease Classification Using Convolutional Neural Network," ICT Systems and Sustainability (ICT4SD), Lecture Notes in Networks and Systems, vol 765, 2023.
- 39. Kaise Beppu, Yoichi Tomioka, and Hiroshi Saito
"Training and Approximation Methods for Realizing Computationally-cheaper Binarized Neural Networks,"
International Conference on ICT Integration in Technical Education (ETLTC2023), Jan. 2023.
- 38. Akihisa Kawabe, Ryuto Haga, Yoichi Tomioka, Yuichi Okuyama and Jungpil Shin,
"Fake Image Detection Using An Ensemble of CNN Models Specialized For Individual Face Parts,"
In Proc. of IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2022), Dec. 2022.
- 37. Yuta Owada, Yoichi Tomioka, Hiroshi Saito,
"Dual Modular Redundancy Unit of Convolutional Layer for Low-Cost and Reliable CNNs,"
In Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct. 2022.
- 36. Kazuya Matsumoto, Yoichi Tomioka, and Stanislav Sedukhin,
"High Performance Software Systolic Array Computing of Multi-channel Convolution on a GPU,"
International Conference on Computational Science and Its Applications, pp. 298-309, July 2022.
- 35. Keigo Fusaka, Yoichi Tomioka, Hiroshi Saito, Kohira Yukihide, “Reliable Night Bear and Boar Detection
Based on Training with Pseudo Infrared Images”, In Proc. of IIAI AAI 2021-Winter Congress 10th International
Conference on Smart Computing and Artificial Intelligence (SCAI 2021 Winter), Dec. 2021.
- 34. Kaisei Shimura, Yoichi Tomioka, and Qiangfu Zhao, “A Distance Estimation Method to Railway Crossing
Using Warning Signs”, In Proc. of the 14th IEEE International Symposium on Embedded Multicore/Many-core
Systems-on-Chip (MCSoC 2021), Dec. 2021.
- 33. Kaisei Kimura, Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Kohira Yukihide, and Qiangfu Zhao,
“Area-efficient Binary and Ternary CNN Accelerator using Random-forest-based Approximation”, In Proc. of the
Ninth International Symposium on Computing and Networking (CANDAR), Nov. 2021
- 32. Stanislav Sedukhin, Yoichi Tomioka, Kohei Yamamoto, “In Search of the Performance- and Energy-Efficient
CNN Accelerators”, In Proc. of IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 24),
Apr. 2021.
- 31. Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira, Qiangfu Zhao, "A CNN
Approximation Method Based on Low-bit Quantization and Random Forests." In Prof. of CYBCONF 2021, pp. 39-44,
2021.
- 30. Kai Su, Huitao Wang, Intisar Chowdhury, Qiangfu Zhao and Yoichi Tomioka, “You Only Look at Interested
Cells: Real-Time Object Detection Based on Cell-Wise Segmentation”, In Proc. of International Conference on
Awareness Science and Technology (iCAST 2020), Dec. 2020.
- 29. Huitao Wang, Kai Su, Intisar Chowdhunry, Qiangfu Zhao and Yoichi Tomioka, “Comparison Between Block-Wise
Detection and A Modular Selective Approach”, In Proc. of International Conference on Awareness Science and
Technology (iCAST 2020), Dec. 2020.
- 28. Mai Uchida and Yoichi Tomioka, “CNN-based Camera Model Classification and Metric Learning Robust to JPEG
Noise”, In Proc. of International Conference on Awareness Science and Technology (iCAST 2020), Dec. 2020.
- 27. Kaisei Shimura, Yoichi Tomioka and Qiangfu Zhao, “An Efficient Scene Recognition System of Railway
Crossing”, In Proc. of International Conference on Awareness Science and Technology (iCAST 2020), Dec. 2020.
- 26. Sora Isobe, Yoichi Tomioka, “Low-bit Quantized CNN Acceleration based on Bit-serial Dot Product Unit
with Zero-bit Skip”, In Proc. of International Symposium on Computing and Networking, pp.141-146, Nov. 2020.
- 25. Masayuki Tokutake, Kaisei Shimura, Yoichi Tomioka, Hiroshi Saito, and Yukihide Kohira, “Reliable and
Efficient Bear-presence Detection based on Region Proposal of Low-resolution”, In Proc. of IEEE
International Conference on Systems, Man and Cybernetics (SMC), Oct. 2020.
- 24. Kai Su, Chowdhury MD Intisar, Qiangfu Zhao, Yoichi Tomioka, “Knowledge Distillation for Real-time
On-Road Risk Detection”, In Proc. of IEEE Cyber Science and Technology Congress, Aug. 2020.
- 23. Kazuki Hozumi and Yoichi Tomioka, “Low-latency Block-wise Object Detection Method using SSD for High
Resolution Video”, In Proc. of International Conference on Digital Signal Processing, June. 2020.
- 22. Stanislav Sedukhin and Yoichi Tomioka, “Massively-Parallel Computing of Multi-Channel 2D Convolution”,
In Proc. of SIAM Conference on Parallel Processing for Scientific Computing, Feb. 2020.
<招待発表 /Invited Talk>
- 2. 西東翔太, 富岡洋一, 北澤仁志, "PRNUノイズを用いたカメラ識別におけるFAR推定の理論的フレームワーク",第7回バイオメトリクスと認識・認証シンポジウム, 2017年11月14日.
- 1. 富岡 洋一,Stanislav Sedukhin,"脳型CNNアクセラレータの設計と解析",平成29年度第1回ブレインウェア研究会, 2017年7月5日.
<国内発表 /Domestic Conferences>
- 57. 齋川 倭, 大和田 雄太, 富岡洋一,齋藤 寛, 小平 行秀, “混合精度量子化に基づく二重化による故障検出可能な畳み込みニューラルネットワーク回路”, 電子情報通信学会信学技報, vol. 123, no. 390, VLD2019-134, pp. 119-124, 2024年2月.
- 56. 鈴木康之, 仙波翔吾, 富岡洋一, 齋藤寛,"ランダムフォレストによる近似 BNN 回路を基にした自動走行ロボット," 電気情報通信学会ソサイエティ大会, 2023年9月.
- 55. 内田麻衣, 富岡洋一 “畳み込みニューラルネットワークを用いたカメラモデル分類におけるJPEG圧縮の影響の評価及び解析”, 電子情報通信学会信学技報, vol. 120, no. 154,
PRMU2020-13, pp. 35-40, 2020年9月.
- 54. 谷田部匠, 磯部宙, 富岡洋一, 齋藤寛 “決定木に基づくバイナリニューラルネットワークの近似計算に関する一検討”, 回路とシステムワークショップ, pp. 121-123, 2020年8月. (WIP)
- 53. 磯部宙, 富岡洋一, “ゼロビットスキップ機能付きビットシリアル内積回路を用いた畳み込み演算の高速化に関する一検討”, 電子情報通信学会信学技報, vol. 119, no. 443,
VLD2019-134, pp. 233-238, 2020年3月.
- 52. 志村魁星, 富岡洋一, 趙 強福, “画像分類と物体検出を組み合わせた踏切シーンを代表する物体の効率的検出手法”, 電子情報通信学会信学技報, vol. 119, no. 347, PRMU2019-52,
pp. 35-39, 2019年12月.
- 51. 穂積和貴, 富岡洋一, “高精細映像における連続フレームを用いた効率的なブロック分割物体検出手法”, 電子情報通信学会信学技報, vol. 119, no. 347, PRMU2019-52, pp.
69-74, 2019年7月.
- 50. 内田麻衣, 富岡洋一, “PRNUノイズに基づく画像クラスタリングにおける類似度計算手法の評価”, 電子情報通信学会信学技報, vol. 119, no. 142, BioX2019-9, pp.
75-79, 2019年7月.
- 49. 徳竹正行,富岡洋一,齋藤 寛,小平行秀,"畳込みニューラルネットワークを用いた熊検出及び精度評価", 情報処理学会全国大会,1R-01, 2019年3月.
- 48. 關口裕介,富岡洋一,北道淳司,"ハードウェア実装に適した量子化HOG特徴量計算に関する一検討", VLD2018-127, pp. 205-210, 2019年3月.
- 47. 鈴木脩平,富岡洋一,“転移学習に基づく効率的なリソグラフィホットスポット検出器の生成手法”, 電子情報通信学会信学技報, vol. 117, no. 455, VLD2017-106, pp.
103-108, 2018年2月.
- 46. 徳竹正行,富岡洋一,小平行秀,齋藤寛,”畳込みニューラルネットワークを用いた雲量計測手法”,日本気象学
会東北支部気象研究会,2017年12月
- 45. 富岡洋一,松縄哲明,“Histogram of Oriented Light Propagationを用いたリソグラフィホットスポットの検出”, 電子情報通信学会信学技報, vol. 115, no.
465, VLD2015-136, pp. 143-148, 2016年2月.
- 44. Shu Takenoshita, Yoichi Tomioka, "Scaling Factor Estimation Using Three Peak Frequencies Related to
Periodic Interpolation Artifacts",Tohoku-Section Joint Convention of Institutes of Electrical and
Information Engineers,2B11, 2017年8月
- 43. Yusuke Sekiguchi and Yoichi Tomioka, “Threshold Optimization of Quantized HOG for Reliable Human
Detection”, Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineers, Aug.
2017.
- 42. 西東翔太, 富岡洋一, 北澤仁志, "PRNUノイズ特徴点に基づく撮影カメラ推定", 電子情報通信学会東京支部学生会研究発表会,2017年1月.
- 41. 相原大地, 富岡洋一, 北澤仁志, "人物の統合・分離を考慮した疎分散カメラ間の人物トラッキング手法", 電子情報通信学会東京支部学生会研究発表会,2017年1月.
- 40. 相原大地, 富岡洋一, 北澤仁志, "時間的尤度を考慮した疎分散カメラ間のトラッキング手法", 画像電子学会年次大会,S3-2,2016年6月.
- 39. 富岡洋一, 松縄哲明, "Histogram of Oriented Light Propagationを用いたリソグラフィホットスポットの検出",
電子情報通信学会技術研究報告書(VLD2015-136),pp. 143--148, 2016年3月.
- 38. 安江敦紀, 富岡洋一, 北澤仁志, "クラスタPRNUノイズによるスキャナ判別の特性について", 映像情報メディア学会大会, 2015年8月.
- 37. 西東翔太, 富岡洋一, 北澤仁志, "PRNUノイズのクラスタペアを用いた撮影カメラ識別の精度評価手法", 映像情報メディア学会大会, 2015年8月.
- 36. 弓取恭平, 富岡洋一, 北澤仁志, "排他的ブロックマッチングに基づく道路標識のテンプレート検索", 電子情報通信学会東京支部学生会研究発表会\
, 講演番号217, 2015年3月.
- 35. 長谷川天平, 富岡洋一, 北澤仁志, "機械学習における特徴量分布の均一化の効果", 電子情報通信学会東京支部学生会研究発表会, 講演番号215, 2\
015年3月.
- 1. Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu, "YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices," arXiv preprint arXiv:2307.06689, 2023.