| 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 | 1175 | 2018 |
| Neural 3d mesh renderer H Kato, Y Ushiku, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 685 | 2018 |
| Asymmetric tri-training for unsupervised domain adaptation K Saito, Y Ushiku, T Harada International Conference on Machine Learning, 2988-2997, 2017 | 468 | 2017 |
| Strong-weak distribution alignment for adaptive object detection K Saito, Y Ushiku, T Harada, K Saenko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 306 | 2019 |
| 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 | 279 | 2018 |
| Adversarial dropout regularization K Saito, Y Ushiku, T Harada, K Saenko arXiv preprint arXiv:1711.01575, 2017 | 221 | 2017 |
| Learning from between-class examples for deep sound recognition Y Tokozume, Y Ushiku, T Harada arXiv preprint arXiv:1711.10282, 2017 | 185 | 2017 |
| Learning environmental sounds with end-to-end convolutional neural network Y Tokozume, T Harada 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 179 | 2017 |
| Between-class learning for image classification Y Tokozume, Y Ushiku, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 167 | 2018 |
| MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes Q Ha, K Watanabe, T Karasawa, Y Ushiku, T Harada 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 134 | 2017 |
| Domain generalization using a mixture of multiple latent domains T Matsuura, T Harada Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11749 …, 2020 | 124 | 2020 |
| Discriminative spatial pyramid T Harada, Y Ushiku, Y Yamashita, Y Kuniyoshi CVPR 2011, 1617-1624, 2011 | 112 | 2011 |
| Image generation from small datasets via batch statistics adaptation A Noguchi, T Harada Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 99 | 2019 |
| 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 | 97 | 2004 |
| Online growing neural gas for anomaly detection in changing surveillance scenes Q Sun, H Liu, T Harada Pattern Recognition 64, 187-201, 2017 | 87 | 2017 |
| Image reconstruction from bag-of-visual-words H Kato, T Harada Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 78 | 2014 |
| 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 | 73 | 2012 |
| 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 | 73 | 2001 |
| 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 | 72 | 2010 |
| Multispectral object detection for autonomous vehicles K Takumi, K Watanabe, Q Ha, A Tejero-De-Pablos, Y Ushiku, T Harada Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 35-43, 2017 | 71 | 2017 |
