| 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 | 379 | 2018 |
| Asymmetric Tri-training for Unsupervised Domain Adaptation K Saito, Y Ushiku, T Harada ICML 2017, 2017 | 241 | 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 |
| Adversarial dropout regularization K Saito, Y Ushiku, T Harada, K Saenko arXiv preprint arXiv:1711.01575, 2017 | 75 | 2017 |
| Semi-supervised domain adaptation via minimax entropy K Saito, D Kim, S Sclaroff, T Darrell, K Saenko Proceedings of the IEEE International Conference on Computer Vision, 8050-8058, 2019 | 58 | 2019 |
| 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 |
| Dualnet: Domain-invariant network for visual question answering K Saito, A Shin, Y Ushiku, T Harada 2017 IEEE International Conference on Multimedia and Expo (ICME), 829-834, 2017 | 39 | 2017 |
| Syn2real: A new benchmark forsynthetic-to-real visual domain adaptation X Peng, B Usman, K Saito, N Kaushik, J Hoffman, K Saenko arXiv preprint arXiv:1806.09755, 2018 | 32 | 2018 |
| Spatio-temporal person retrieval via natural language queries M Yamaguchi, K Saito, Y Ushiku, T Harada Proceedings of the IEEE International Conference on Computer Vision, 1453-1462, 2017 | 19 | 2017 |
| TWINs: Two weighted inconsistency-reduced networks for partial domain adaptation T Matsuura, K Saito, T Harada arXiv preprint arXiv:1812.07405, 2018 | 10 | 2018 |
| Melody generation for pop music via word representation of musical properties A Shin, L Crestel, H Kato, K Saito, K Ohnishi, M Yamaguchi, M Nakawaki, ... arXiv preprint arXiv:1710.11549, 2017 | 8 | 2017 |
| DeMIAN: Deep Modality Invariant Adversarial Network K Saito, Y Mukuta, Y Ushiku, T Harada ICCV2017 TASKCV Workshop, 2016 | 8* | 2016 |
| Universal domain adaptation through self supervision K Saito, D Kim, S Sclaroff, K Saenko arXiv preprint arXiv:2002.07953, 2020 | 6 | 2020 |
| Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels D Kim, K Saito, TH Oh, BA Plummer, S Sclaroff, K Saenko arXiv preprint arXiv:2003.08264, 2020 | 4 | 2020 |
| MULE: Multimodal Universal Language Embedding. D Kim, K Saito, K Saenko, S Sclaroff, BA Plummer AAAI, 11254-11261, 2020 | 3 | 2020 |
| COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder K Saito, K Saenko, MY Liu arXiv preprint arXiv:2007.07431, 2020 | 1 | 2020 |
| Generalized Bayesian canonical correlation analysis with missing modalities T Matsuura, K Saito, Y Ushiku, T Harada Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 1 | 2018 |
| Multichannel Semantic Segmentation with Unsupervised Domain Adaptation K Watanabe, K Saito, Y Ushiku, T Harada Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 1 | 2018 |
| Virtual digital subtraction angiography using multizone patch-based U-Net R Kimura, A Teramoto, T Ohno, K Saito, H Fujita Physical and Engineering Sciences in Medicine, 1-11, 2020 | | 2020 |
| Self-supervised Visual Attribute Learning for Fashion Compatibility D Kim, K Saito, K Saenko, S Sclaroff, BA Plummer arXiv preprint arXiv:2008.00348, 2020 | | 2020 |
Tatsuya HaradaThe University of Tokyo確認したメール アドレス: mi.t.u-tokyo.ac.jp
