Shingo Takemoto
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Publications

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Preprints

2026
  • Yuki Nakamura, Shingo Takemoto, and Shunsuke Ono, “Comprehensive Robust Dynamic Mode Decomposition from Mode Extraction to Dimensional Reduction,” arXiv:2601.11116.arXivGitHub
2025
  • Shingo Takemoto and Shunsuke Ono, “Geometric Spatio-Spectral Total Variation for Hyperspectral Image Denoising and Destriping,” arXiv:2510.00562.arXivGitHub

Journal Articles/ Peer-reviewed

2026
  • Shingo Takemoto and Shunsuke Ono, “Inner-Loop-Free Total-Variation-Constrained Full-Waveform Inversion,” IEEE Signal Processing Letters, early access, 2026.OfficialarXivGitHubProject
2025
  • Shingo Takemoto, Kazuki Naganuma, and Shunsuke Ono, “Spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 19157–19175, Jul. 2025.Official (OA)arXivCodeLab pageProject
2022
  • Shingo Takemoto, Kazuki Naganuma, and Shunsuke Ono, “Graph spatio-spectral total variation for hyperspectral image denoising,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 6012405, pp. 1–5, 2022.OfficialarXivMATLAB

International Conference Papers/ Peer-reviewed

2025
  • Shingo Takemoto and Shunsuke Ono, “Spatio-spectral regularization aided by graph modelings for hyperspectral image denoising,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brisbane, Australia, pp. 7519–7523, Aug. 2025.Official
2024
  • Shingo Takemoto and Shunsuke Ono, “Rotation invariant spatio-spectral total variation for hyperspectral image denoising,” APSIPA Annual Summit and Conference (APSIPA ASC), Macau, Dec. 2024.Official★ Student Paper Award Runner-up
  • Shingo Takemoto and Shunsuke Ono, “Enhancing spatio-spectral regularization by graph modeling for hyperspectral image denoising,” Graph Signal Analysis and Learning Workshop (GSAL), Osaka, Japan, Jul. 2024.
2023
  • Shingo Takemoto and Shunsuke Ono, “Enhancing spatio-spectral regularization by structure tensor modeling for hyperspectral image denoising,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, pp. 1–5, Jun. 2023.Official

Articles in Japanese/ Peer-reviewed

2023
  • 竹本真悟, 山下遥, “クラス間の距離を考慮した多変量2値分布における代表点分析法に関する研究,” 情報処理学会論文誌, vol. 64, no. 1, pp. 1–10, Jan. 2023.

Domestic Conferences

2025
  • 竹本真悟, 小野峻佑, “Randomized Hyperspectral Image Denoising with Spatio-Spectral Structure Tensor Total Variation,” 第40回信号処理シンポジウム, 茨城, Nov. 2025.
  • 中村結喜, 竹本真悟, 小野峻佑, “Comprehensive Robust Dynamic Mode Decomposition via Spatio-Temporal Total Variation,” 第40回信号処理シンポジウム, 茨城, Nov. 2025.
2024
  • 竹本真悟, 小野峻佑, “Graph-aided spatio-spectral total variation for hyperspectral image denoising,” 第39回信号処理シンポジウム, 北海道, Dec. 2024.
  • 稲田雄大, 竹本真悟, 小野峻佑, “Efficient full waveform inversion subject to a total variation constraint,” 第39回信号処理シンポジウム, 北海道, Dec. 2024.
  • 竹本真悟, 小野峻佑, “Reflection-invariant spatial-spectral total variation for hyperspectral image denoising and destriping,” 第39回画像符号化シンポジウム, 静岡, Nov. 2024.
2023
  • 竹本真悟, 小野峻佑, “Rotation invariant spatio-spectral total variationによるハイパースペクトル画像復元,” 第38回信号処理シンポジウム, 京都, Nov. 2023.
2022
  • 竹本真悟, 小野峻佑, “Structure tensor regularization of spatio-spectral difference for hyperspectral image denoising,” 第37回信号処理シンポジウム, 新潟, Dec. 2022.
  • 竹本真悟, 長沼一輝, 小野峻佑, “グラフに基づく空間-スペクトル全変動によるハイパースペクトル画像復元,” 電子情報通信学会 信号処理研究会, Online, Mar. 2022.★ 6th IEEE SPS Tokyo Joint Chapter Student Award