| Analyzing input and output representations for speech-driven gesture generation T Kucherenko, D Hasegawa, GE Henter, N Kaneko, H Kjellström Proceedings of the 19th ACM International Conference on Intelligent Virtual …, 2019 | 107 | 2019 |
| Evaluation of speech-to-gesture generation using bi-directional LSTM network D Hasegawa, N Kaneko, S Shirakawa, H Sakuta, K Sumi Proceedings of the 18th International Conference on Intelligent Virtual …, 2018 | 91 | 2018 |
| Speech-to-gesture generation: A challenge in deep learning approach with bi-directional LSTM K Takeuchi, D Hasegawa, S Shirakawa, N Kaneko, H Sakuta, K Sumi Proceedings of the 5th International Conference on Human Agent Interaction …, 2017 | 28 | 2017 |
| Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation T Kucherenko, D Hasegawa, N Kaneko, GE Henter, H Kjellström International Journal of Human–Computer Interaction 37 (14), 1300-1316, 2021 | 27* | 2021 |
| Two-stage model fitting approach for human body shape estimation from a single depth image M Oyama, N Kaneko, M Hayashi, K Sumi, T Yoshida 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 6 | 2017 |
| Data augmentation for intra-class imbalance with generative adversarial network N Hase, S Ito, N Kaneko, K Sumi Fourteenth International Conference on Quality Control by Artificial Vision …, 2019 | 5 | 2019 |
| Global localization from a single image in known indoor environments S Ito, N Kaneko, J Takahashi, K Sumi 2018 Joint 7th International Conference on Informatics, Electronics & Vision …, 2018 | 5 | 2018 |
| Gustav Eje Henter, and Hedvig Kjellström. 2019. On the importance of representations for speech-driven gesture generation T Kucherenko, D Hasegawa, N Kaneko Proceedings of the 18th International Conference on Autonomous Agents and …, 0 | 5 | |
| Image-retrieval method using gradient dilation images for cloud-based positioning system with 3d wireframe map J Takahashi, K Masato, S Ito, N Kaneko, W Takahashi, T Sakamoto, ... Sensors and Materials 32 (2), 611-623, 2020 | 4 | 2020 |
| Fast obstacle detection for monocular autonomous mobile robots N Kaneko, T Yoshida, K Sumi SICE Journal of Control, Measurement, and System Integration 10 (5), 370-377, 2017 | 4 | 2017 |
| Evaluation of text-to-gesture generation model using convolutional neural network E Asakawa, N Kaneko, D Hasegawa, S Shirakawa Neural Networks 151, 365-375, 2022 | 3 | 2022 |
| On the Importance of Representations for Speech-Driven Gesture Generation. T Kucherenko, D Hasegawa, N Kaneko, GE Henter, H Kjellström AAMAS 19, 2072-2074, 2019 | 3 | 2019 |
| TransGesture: Autoregressive gesture generation with RNN-transducer N Kaneko, Y Mitsubayashi, G Mu Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022 | 2 | 2022 |
| Seeing farther than supervision: Self-supervised depth completion in challenging environments S Ito, N Kaneko, K Sumi 2021 17th International Conference on Machine Vision and Applications (MVA), 1-5, 2021 | 2 | 2021 |
| Boosting monocular depth estimation with channel attention and mutual learning K Takagi, S Ito, N Kaneko, K Sumi 2019 Joint 8th International Conference on Informatics, Electronics & Vision …, 2019 | 2 | 2019 |
| Latent 3D volume for joint depth estimation and semantic segmentation from a single image S Ito, N Kaneko, K Sumi Sensors 20 (20), 5765, 2020 | 1 | 2020 |
| Towards detailed 3d modeling: Mesh super-resolution via deformation R Tamura, S Ito, N Kaneko, K Sumi 2020 Joint 9th International Conference on Informatics, Electronics & Vision …, 2020 | 1 | 2020 |
| Speech-to-Gesture Generation Using Bi-Directional LSTM Network N Kaneko, K Takeuchi, D Hasegawa, S Shirakawa, H Sakuta, K Sumi Transactions of the Japanese Society for Artificial Intelligence 34 (6), C-J41, 2019 | 1 | 2019 |
| A relation between Resolution and Recognition Rate in Iris Recognition Y Umeoka, N Kaneko, T Saito, K Sumi IEICE Technical Report; IEICE Tech. Rep. 114 (83), 25-30, 2014 | 1 | 2014 |
| MOJI: Character-level convolutional neural networks for Malicious Obfuscated JavaScript Inspection M Ishida, N Kaneko, K Sumi Applied Soft Computing, 110138, 2023 | | 2023 |
