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
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
2552017
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
262018
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
X Liu, M Suganuma, Z Sun, T Okatani
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
202019
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
112018
Hierarchical feature construction for image classification using genetic programming
M Suganuma, D Tsuchiya, S Shirakawa, T Nagao
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 001423 …, 2016
102016
Hyperparameter-free out-of-distribution detection using softmax of scaled cosine similarity
E Techapanurak, M Suganuma, T Okatani
arXiv preprint arXiv:1905.10628, 2019
52019
Efficient attention mechanism for handling all the interactions between many inputs with application to visual dialog
VQ Nguyen, M Suganuma, T Okatani
arXiv preprint arXiv:1911.11390, 2019
32019
Generative adversarial network for visualizing convolutional network
M Kobayashi, M Suganuma, T Nagao
2017 IEEE 10th International Workshop on Computational Intelligence and …, 2017
22017
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
22016
Evolution of deep convolutional neural networks using Cartesian genetic programming
M Suganuma, M Kobayashi, S Shirakawa, T Nagao
Evolutionary Computation 28 (1), 141-163, 2020
12020
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
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
12017
How Can CNNs Use Image Position for Segmentation?
R Murase, M Suganuma, T Okatani
arXiv preprint arXiv:2005.03463, 2020
2020
Removal of Image Obstacles for Vehicle-Mounted Surrounding Monitoring Cameras by Real-Time Video Inpainting
Y Hirohashi, K Narioka, M Suganuma, X Liu, Y Tamatsu, T Okatani
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2020
2020
Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming
M Suganuma, S Shirakawa, T Nagao
Deep Neural Evolution, 185-208, 2020
2020
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors
Y Hosoya, M Suganuma, T Okatani
WACV 2020, 2019
2019
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network
X Liu, M Suganuma, X Luo, T Okatani
arXiv, 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
既学習モジュールの切替による未知環境探索エージェントの行動制御; 既学習モジュールの切替による未知環境探索エージェントの行動制御; Controlling an Autonomous Agent for Exploring Unknown …
T Hata, M Suganuma, T Nagao
ITEIS 138 (2), 157-164, 2018
2018
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
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