Naotake Natori

According to our database, Naotake Natori authored at least 13 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transfer multi-source knowledge via scale-aware online domain adaptation in depth estimation for autonomous driving.

Phan Thi Thanh Huyen, Minh-Quan Viet Bui, Duc Dung Nguyen, Tran Vu Pham, Truong Vinh Truong Duy, Naotake Natori

Image Vis. Comput., January, 2024

2023

Absorbing Phase Transitions in Artificial Deep Neural Networks.

Keiichi Tamai, Tsuyoshi Okubo, Truong Vinh Truong Duy, Naotake Natori, Synge Todo

CoRR, 2023

2022

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks.

Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori

Sensors, 2022

Software-Engineering Design Patterns for Machine Learning Applications.

Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda

Computer, 2022

Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision Approaches.

Yukiko Takahashi, Sawa Takamuku, Keisuke Imoto, Naotake Natori

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation.

Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion.

Manogna Sreenivas, Sawa Takamuku, Soma Biswas, Aditya Chepuri, Balasubramanian Vengatesan, Naotake Natori

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection.

Rie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics.

Anurag Singh, Naren Doraiswamy, Sawa Takamuku, Megh Bhalerao, Titir Dutta, Soma Biswas, Aditya Chepuri, Balasubramanian Vengatesan, Naotake Natori

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Practitioners' insights on machine-learning software engineering design patterns: a preliminary study.

Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Efficient Defect Detection from Consecutive Monocular Images by Deep Learning.

Truong Vinh Truong Duy, Naotake Natori

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2017

Banknote portrait detection using convolutional neural network.

Ryutaro Kitagawa, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Matsuki, Naotake Natori, Hiroshi Ishikawa

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

1995

A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism.

Naotake Natori, Kazuo Nishimura

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995