Publications

Preprints

1. Keitaro Yamashita, Kazuki Naganuma, and Shunsuke Ono, "Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization," [arXiv]

2. Keitaro Yamashita, Kazuki Naganuma, and, Shunsuke Ono "Generalized graph signal sampling by difference-of-convex optimization," [arXiv]

3. Kazuki Naganuma and Shunsuke Ono, "Robust Foreground-Background Separation for Severely-Degraded Videos Using Convolutional Sparse Representation Modeling," [arXiv] [codes] [project].

Journal Papers

2025

1. 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)] [arXiv] [GitHub] [project].

2. Eisuke Yamagata, Kazuki Naganuma, and Shunsuke Ono, "Robust time-varying graph signal recovery for dynamic physical sensor network data," IEEE Transactions on Signal and Information Processing over Networks, vol. 11, pp. 59-70, 2025. [official (OA)] [arXiv] [GitHub] [project_page]

2024

1. Ryosuke Isono, Kazuki Naganuma, and Shunsuke Ono, "Robust spatiotemporal fusion of satellite images: A constrained convex optimization approach," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024, Art no. 5404516. [official (OA)] [arXiv] [GitHub] [project page]

2. Kazuki Naganuma and Shunsuke Ono, "Towards robust hyperspectral unmixing: Mixed noise modeling and image-domain regularization," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 8117-8138, 2024. [official (OA)] [arXiv] [code] [GitHub] [project page]

2023

1. Kazuki Naganuma and Shunsuke Ono, "Variable-wise diagonal preconditioning for primal-dual splitting: Design and applications," IEEE Transactions on Signal Processing, vol. 71, pp. 3281-3295, 2023. [official] [arXiv] [code] [GitHub] [project page] (IEEE Signal Processing Society (SPS) Japan Student Journal Paper Award)

2022

1. Shingo Takemoto, Kazuki Naganuma, and Shunsuke Ono, "Graph spatio-spectral total variation for hyperspectral image denoising," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6012405. [official] [arXiv] [code (MATLAB)] [project page]

2. Kazuki Naganuma and Shunsuke Ono, "A general destriping framework for remote sensing images using flatness constraint," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, Feb. 2022, Art no. 5525016. [official] [arXiv] [code] [project page] (The Telecommunications Advancement Foundation 38th TELECOM System Technology Student Award)

2020

1. Kazuki Naganuma, Takashi Suzuki, Hiroyuki Tsuji, and Tomoaki Kimura, "Study of safe elliptic curve cryptography over gaussian integer," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. A 103 no. 12, pp. 1624-1628, Dec. 2020. [official]

International Conference Proceedings (peer-reviewed)

2025

1. Koyo Sato, Kazuki Naganuma, and Shunsuke Ono,  “Flexible background modeling for hyperspectral anomaly detection using convolutional sparse coding,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brisbane, Australia, pp. 7407-7411, Aug. 2025. [official]

2. Takafumi Ueki, Kazuki Naganuma, and Shunsuke Ono, "Stable and lightweight deep primal-dual unrolling for constrained image restoration with convolutional sparse coding," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, pp. 1-5, Apr. 2025. [official]

3. Keitaro Yamashita, Kazuki Naganuma, and Shunsuke Ono, "Controlling the number of sample-contributive vertices in generalized sampling of graph signals," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, pp. 1-5, Apr. 2025.

2024

1. Kazuki Naganuma and Shunsuke Ono, "Hyperspectral unmixing with row-sparsity enhancement: A difference-of-convex approach,"  in Proceedings of APSIPA Annual Summit and Conference (APSIPA ASC), Macau, China, pp. 1-5, Dec. 2024. [official]

2. Keitaro Yamashita, Kazuki Naganuma, and Shunsuke Ono, "Generalized graph signal sampling under subspace priors by difference-of-convex minimization,"  in Proceedings of APSIPA Annual Summit and Conference (APSIPA ASC), Macau, China, pp. 1-5, Dec. 2024. [official] (APSIPA ASC 2024 Best Paper Award)

3. Kazuki Naganuma and Shunsuke Ono, "Diagonal preconditioning of a primal-dual splitting algorithm for graph signal processing," Graph Signal Analysis and Learning Workshop (GSAL), Osaka, Japan, Jul. 2024.

4. Koyo Sato, Kazuki Naganuma, and Shunsuke Ono, "Enhancing hyperspectral anomaly detection by difference-of-convex sparse anomaly detection modeling," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, pp. 9921-9925, Apr. 2024. [official]

5. Kazuki Naganuma and Shunsuke Ono, "Constrained hyperspectral unmixing robust to mixed noise," ASPIRE workshop 2024, Hiroshima, Japan, Mar. 2024. [official]

2023

1. Kazuki Naganuma and Shunsuke Ono, "Cross-frame foreground structural similarity modeling by convolutional sparse representation," in Proceedings of APSIPA Annual Summit and Conference (APSIPA ASC), Taipei, Taiwan, pp. 779-783, Oct. 2023. [official] (Invited)

2. Kazuki Naganuma and Shunsuke Ono, "Static-scene constrained optimization for matrix/tensor-decomposition-free foreground-background separation," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, pp. 1-5, Jun. 2023. [official] [code (MATLAB)]

3. Ryosuke Isono, Kazuki Naganuma, and Shunsuke Ono, "Robust spatio-temporal fusion of satellite images via convex optimization," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, Jun. pp. 1-5. [official]

2022

1. Kazuki Naganuma and Shunsuke Ono, "Operator-norm-based variable-wise diagonal preconditioning for automatic stepsize selection of a primal-dual splitting algorithm," in Proceedings of European Signal Processing Conference, Belgrade, Servia, pp. 2041-2045, Aug. 2022. [official]

2021

1. Kazuki Naganuma, Saori Takeyama, and Shunsuke Ono, "Zero-gradient constraints for destriping of remote-sensing data," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, vol. 1, pp. 1480-1484, Jun. 2021. (16th IEEE Signal Processing Society Japan Student Conference Paper Award) [official]

2019

1. Kazuki Naganuma, Takashi Suzuki, Hiroyuki Tsuji, and Tomoaki Kimura, "Implementation of the elliptic curve cryptography over gaussian integral finite group onto excel," in Proceedings of IEICE International Workshop on Smart Info-Media System in Asia, Tokyo, Japan, vol. 57, pp. 119-124, Sep. 2019. 

Article in Japanese

2021

1. 鈴木貴士, 長沼一輝,  辻裕之, 木村誠聡, "雑音除去フィルタとガウス雑音の再重畳による画像の低レベルガウス雑音の標準偏差の推定," 電子情報通信学会論文誌 A, vol. J104-A, no. 7, pp. 160-172, Jul. 2021.

Domestic Conference

2025

1. 長沼一輝, 鈴木陽大, 小野峻佑, 早川諒, "Operator-Norm-Based Diagonal Preconditioning for Primal–Dual Splitting in Convex Optimization with Differentiable Functions," 第40回信号処理シンポジウム, Nov. 2025.

2. 辻翔太, 長沼一輝, 早川諒, 星野赳寛, 寺田翼, 片山由美子, 高橋龍平, "スパース性と滑らかさを考慮した圧縮ストリップマップSARイメージング," 第40回信号処理シンポジウム, Nov. 2025.

3. 岩永将樹,  長沼一輝,  早川諒, "動画の圧縮イメージングのための慣性項付き深層展開ネットワーク," 第40回信号処理シンポジウム, Nov. 2025.

4. 宮本敏史, 長沼一輝, 早川諒, "全変動正則化の補正のための学習型凸正則化を用いた画像復元," 第40回信号処理シンポジウム, Nov. 2025.

5. 栁澤俊介, 長沼一輝, 早川諒, "地震反射波逆解析のための深層展開ネットワーク構造の検討," 第40回信号処理シンポジウム, Nov. 2025.

6. 鈴木 陽大, 長沼一輝, 小野 峻佑, "確率的直線探索による可変計量型Chambolle-Pockアルゴリズムのパラメータ決定法," 第40回信号処理シンポジウム, Nov. 2025.

7. 長沼一輝, "複数の劣化にロバストなリモートセンシングデータ解析法," 電子情報通信学会 信号処理研究会, Aug. 2025. （招待講演）

8. 山下慶太郎, 長沼一輝, 小野峻佑, "重要な頂点の事前選択を加味した一般化グラフ信号サンプリング," 信号処理研究会, Mar. 2025.

2024

1. 長沼一輝, 小野峻佑, "Deep primal-dual unrolling by transfer learning for constrained hyperspectral image restoration,"  第39回信号処理シンポジウム, Dec. 2024.

2. ⼭下慶太郎, 長沼一輝, 小野峻佑, "Flexible sampling operator design for graph signals with controlling the number of sample-contributive vertices,"  第39回信号処理シンポジウム, Dec. 2024.

3. 植木孝史, 長沼一輝, 小野峻佑, "A stable and lightweight deep unrolling approach to image restoration with convolutional sparse coding,"  第39回信号処理シンポジウム, Dec. 2024.

4. 佐藤航洋, 長沼一輝, 小野峻佑, "A convolutional sparse coding approach to background modeling in hyperspectral anomaly detection,"  第39回信号処理シンポジウム, Dec. 2024.

5. 長沼一輝, "主-双対近接分離法に対する変数毎に可変な対角プレコンディショニング： 設計と応用,"  第23回情報科学技術フォーラム（FIT2024）トップコンファレンスセッション, Sep. 2024.（招待講演）

2023

1. 佐藤航洋, 長沼一輝, 小野峻佑, "A difference-of-convex approach to hyperspectral anomaly detection,"  第38回信号処理シンポジウム, Nov. 2023.

2. 長沼一輝, 小野峻佑, "Row-sparsity-enhanced hyperspectral unmixing via difference-of-convex minimization,"  第38回信号処理シンポジウム, Nov. 2023. 

2022

1. 長沼一輝, 小野峻佑, "Convolutional sparse representation for cross-frame similar structure modeling in video foreground-background separation,"  第37回信号処理シンポジウム, Dec. 2022. （2022年度信号処理若手奨励賞）

2. 長沼一輝, 小野峻佑, "A matrix-decomposition-free video foreground-background separation framework based on static-scene constraint,"  第37回信号処理シンポジウム, Dec. 2022. 

3. 磯野凌輔, 長沼一輝, 小野峻佑, "A robust spatiotemporal method of fusing satellite images by constrained optimization," 第37回信号処理シンポジウム, Dec. 2022.

4. 永松幸紀, 長沼一輝, 小野峻佑, "含有率マップの空間的相関を考慮したハイパースペクトルミクセル分解," 第37回信号処理シンポジウム, Dec. 2022.

5. 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, Mar. 2022.

2021

1. 長沼一輝, 小野峻佑, "信号復元のための作用素ノルムに基づく主-双対近接分離法の自動ステップサイズ調整," 第36回信号処理シンポジウム, Nov. 2021.

2. 長沼一輝, 武山彩織, 小野峻佑, "Remote sensing data restoration by constraining the gradients of stripe noise," 電子情報通信学会 信号処理研究会, Mar. 2021.

2020

1. 長沼一輝, 鈴木貴士, 辻裕之, 木村誠聡, "虚二次体を用いた楕円曲線暗号の比較," 電子情報通信学会 SIS研究会, Mar. 2020.（2020年度SIS研究会若手研究優秀賞）