Masanori Suganuma
Masanori Suganuma
確認したメール アドレス: vision.is.tohoku.ac.jp - ホームページ
タイトル引用先
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
M Suganuma, S Shirakawa, T Nagao
Proceedings of the Genetic and Evolutionary Computation Conference 2017, 497-504, 2017
1412017
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
M Suganuma, M Ozay, T Okatani
International Conference on Machine Learning (ICML), 2018
92018
Hierarchical feature construction for image classification using Genetic Programming
M Suganuma, D Tsuchiya, S Shirakawa, T Nagao
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
72016
Attention-based adaptive selection of operations for image restoration in the presence of unknown combined distortions
M Suganuma, X Liu, T Okatani
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
32018
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
X Liu, M Suganuma, Z Sun, T Okatani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
22019
Controlling an Autonomous Agent for Exploring Unknown Environments Using Switching Prelearned Modules
T Hata, M Suganuma, T Nagao
Electronics and Communications in Japan 101 (5), 84-93, 2018
12018
Generative adversarial network for visualizing convolutional network
M Kobayashi, M Suganuma, T Nagao
2017 IEEE 10th International Workshop on Computational Intelligence and …, 2017
12017
決定木および決定ネットワークによる画像分類過程の説明文の自動生成
崎津実穂, 菅沼雅徳, 土屋大樹, 長尾智晴
情報処理学会論文誌数理モデル化と応用 (TOM) 9 (1), 43-52, 2016
12016
Joint Learning of Multiple Image Restoration Tasks
X Liu, M Suganuma, T Okatani
arXiv preprint arXiv:1907.04508, 2019
2019
Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks
T Okatani, X Liu, M Suganuma
International Workshop on Computational Color Imaging, 3-13, 2019
2019
Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming
M Suganuma, M Kobayashi, S Shirakawa, T Nagao
Evolutionary computation, 1-23, 2019
2019
A generative model approach for visualising convolutional neural networks
M Kobayashi, M Suganuma, T Nagao
International Journal of Computational Intelligence Studies 7 (3-4), 214-230, 2018
2018
Acquiring grasp strategies for a multifingered robot hand using evolutionary algorithms
C Hirayama, T Watanabe, S Kawabata, M Suganuma, T Nagao
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
2017
異常検知のための自己組織化モデルとその監視映像への適用
菅沼雅徳, 長尾智晴
情報処理学会論文誌数理モデル化と応用 (TOM) 9 (1), 23-32, 2016
2016
覚醒下脳腫瘍摘出術における皮質マッピング動画像記録の電気刺激位置の自動検出
菅沼雅徳, 長尾智晴, 田村学, 村垣善浩, 伊関洋
Medical Imaging Technology 32 (4), 272-281, 2014
2014
Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery
M Suganuma, T Nagao
2013 IEEE 6th International Workshop on Computational Intelligence and …, 2013
2013
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