| Maximum classifier discrepancy for unsupervised domain adaptation K Saito, K Watanabe, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 382 | 2018 |
| Neural 3d mesh renderer H Kato, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 305 | 2018 |
| Asymmetric tri-training for unsupervised domain adaptation K Saito, Y Ushiku, T Harada arXiv preprint arXiv:1702.08400, 2017 | 242 | 2017 |
| Open set domain adaptation by backpropagation K Saito, S Yamamoto, Y Ushiku, T Harada Proceedings of the European Conference on Computer Vision (ECCV), 153-168, 2018 | 108 | 2018 |
| Discriminative spatial pyramid T Harada, Y Ushiku, Y Yamashita, Y Kuniyoshi CVPR 2011, 1617-1624, 2011 | 97 | 2011 |
| Learning environmental sounds with end-to-end convolutional neural network Y Tokozume, T Harada 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 93 | 2017 |
| Environment-type robot system" RoboticRoom" featured by behavior media, behavior contents, and behavior adaptation T Sato, T Harada, T Mori IEEE/ASME Transactions on Mechatronics 9 (3), 529-534, 2004 | 93 | 2004 |
| Learning from between-class examples for deep sound recognition Y Tokozume, Y Ushiku, T Harada arXiv preprint arXiv:1711.10282, 2017 | 90 | 2017 |
| Between-class learning for image classification Y Tokozume, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 75 | 2018 |
| Adversarial dropout regularization K Saito, Y Ushiku, T Harada, K Saenko arXiv preprint arXiv:1711.01575, 2017 | 75 | 2017 |
| Infant condition monitoring system and method using load cell sensor sheet T Yoshimi, M Ito, K Yanai, T Sato, T Harada, T Mori US Patent 6,280,392, 2001 | 70 | 2001 |
| Dialog system using real-time crowdsourcing and twitter large-scale corpus F Bessho, T Harada, Y Kuniyoshi Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2012 | 66 | 2012 |
| Global gaussian approach for scene categorization using information geometry H Nakayama, T Harada, Y Kuniyoshi 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 66 | 2010 |
| Development of a tiny orientation estimation device to operate under motion and magnetic disturbance T Harada, T Mori, T Sato The International Journal of Robotics Research 26 (6), 547-559, 2007 | 63 | 2007 |
| Image reconstruction from bag-of-visual-words H Kato, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 61 | 2014 |
| Wearable motion capture suit with full-body tactile sensors Y Fujimori, Y Ohmura, T Harada, Y Kuniyoshi 2009 IEEE International Conference on Robotics and Automation, 3186-3193, 2009 | 56 | 2009 |
| Strong-weak distribution alignment for adaptive object detection K Saito, Y Ushiku, T Harada, K Saenko Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 53 | 2019 |
| Elastic net constraints for shape matching E Rodola, A Torsello, T Harada, Y Kuniyoshi, D Cremers Proceedings of the IEEE International Conference on Computer Vision, 1169-1176, 2013 | 51 | 2013 |
| Behavior prediction based on daily-life record database in distributed sensing space T Mori, A Takada, H Noguchi, T Harada, T Sato 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 47 | 2005 |
| Sensor pillow system: monitoring respiration and body movement in sleep T Harada, A Sakata, T Mori, T Sato Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots …, 2000 | 47 | 2000 |
