Publications

Preprints

1. Shunsuke Ono, Kazuki Naganuma, and Keitaro Yamashita, "Graph signal sampling under smoothness priors: A difference-of-convex approach," [arXiv] [code] 

Journal Papers

2024

1. 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, 2024. (accepted) [arXiv]

2. 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] [arXiv] [GitHub] [project page]

3. 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] [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] 

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. 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. -, Apr. 2025.

2. 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. -, 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. -, Dec. 2024.

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. -, Dec. 2024.

3. Kazuki Naganuma and Shunsuke Ono, "Diagonal preconditioning of a primal-dual splitting algorithm for graph signal processing," in Proceedings of 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," 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," 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," 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," 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," 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," 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," 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

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. ⼭下慶太郎, 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）