| Incremental learning, clustering and hierarchy formation of whole body motion patterns using adaptive hidden markov chains D Kulić, W Takano, Y Nakamura The International Journal of Robotics Research 27 (7), 761-784, 2008 | 272 | 2008 |
| Graph stacked hourglass networks for 3d human pose estimation T Xu, W Takano Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 190 | 2021 |
| Online segmentation and clustering from continuous observation of whole body motions D Kulic, W Takano, Y Nakamura IEEE Transactions on Robotics 25 (5), 1158-1166, 2009 | 137 | 2009 |
| Humanoid robot's autonomous acquisition of proto-symbols through motion segmentation W Takano, Y Nakamura 2006 6th IEEE-RAS International Conference on Humanoid Robots, 425-431, 2006 | 97 | 2006 |
| Recognition of human driving behaviors based on stochastic symbolization of time series signal W Takano, A Matsushita, K Iwao, Y Nakamura 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 95 | 2008 |
| Primitive communication based on motion recognition and generation with hierarchical mimesis model W Takano, K Yamane, T Sugihara, K Yamamoto, Y Nakamura Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 70 | 2006 |
| Driving assistance system and driving assistance method A Matsushita, T Sunda, Y Nakamura, W Takano, J Hashimoto US Patent 10,161,754, 2018 | 62 | 2018 |
| Representability of human motions by factorial hidden markov models D Kulic, W Takano, Y Nakamura 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 59 | 2007 |
| Statistical mutual conversion between whole body motion primitives and linguistic sentences for human motions W Takano, Y Nakamura The International Journal of Robotics Research 34 (10), 1314-1328, 2015 | 56 | 2015 |
| Incremental on-line hierarchical clustering of whole body motion patterns D Kulic, W Takano, Y Nakamura RO-MAN 2007-The 16th IEEE International Symposium on Robot and Human …, 2007 | 47 | 2007 |
| Capture database through symbolization, recognition and generation of motion patterns W Takano, K Yamane, Y Nakamura Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 47 | 2007 |
| Video motion capture from the part confidence maps of multi-camera images by spatiotemporal filtering using the human skeletal model T Ohashi, Y Ikegami, K Yamamoto, W Takano, Y Nakamura 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 43 | 2018 |
| Combining automated on-line segmentation and incremental clustering for whole body motions D Kulic, W Takano, Y Nakamura 2008 IEEE International Conference on Robotics and Automation, 2591-2598, 2008 | 43 | 2008 |
| Integrating whole body motion primitives and natural language for humanoid robots W Takano, Y Nakamura Humanoids 2008-8th IEEE-RAS International Conference on Humanoid Robots, 708-713, 2008 | 41 | 2008 |
| Statistically integrated semiotics that enables mutual inference between linguistic and behavioral symbols for humanoid robots W Takano, Y Nakamura 2009 IEEE International Conference on Robotics and Automation, 646-652, 2009 | 38 | 2009 |
| Real-time unsupervised segmentation of human whole-body motion and its application to humanoid robot acquisition of motion symbols W Takano, Y Nakamura Robotics and Autonomous Systems 75, 260-272, 2016 | 30 | 2016 |
| Bigram-based natural language model and statistical motion symbol model for scalable language of humanoid robots W Takano, Y Nakamura 2012 IEEE International Conference on Robotics and Automation, 1232-1237, 2012 | 28 | 2012 |
| Towards interactive physical robotic assistance: Parameterizing motion primitives through natural language JR Medina, M Shelley, D Lee, W Takano, S Hirche 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012 | 23 | 2012 |
| Prediction of human behaviors in the future through symbolic inference W Takano, H Imagawa, Y Nakamura 2011 IEEE International Conference on Robotics and Automation, 1970-1975, 2011 | 20 | 2011 |
| HVGH: unsupervised segmentation for high-dimensional time series using deep neural compression and statistical generative model M Nagano, T Nakamura, T Nagai, D Mochihashi, I Kobayashi, W Takano Frontiers in Robotics and AI 6, 115, 2019 | 18 | 2019 |
