| 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 | 599 | 2018 |
| Asymmetric Tri-training for Unsupervised Domain Adaptation K Saito, Y Ushiku, T Harada ICML 2017, 2017 | 323 | 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 | 168 | 2018 |
| Semi-supervised domain adaptation via minimax entropy K Saito, D Kim, S Sclaroff, T Darrell, K Saenko Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 134 | 2019 |
| Adversarial dropout regularization K Saito, Y Ushiku, T Harada, K Saenko arXiv preprint arXiv:1711.01575, 2017 | 128 | 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 | 114 | 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 | 52 | 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 | 40 | 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 | 27 | 2017 |
| Universal domain adaptation through self supervision K Saito, D Kim, S Sclaroff, K Saenko arXiv preprint arXiv:2002.07953, 2020 | 23 | 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 2, 2020 | 15 | 2020 |
| Twins: Two weighted inconsistency-reduced networks for partial domain adaptation T Matsuura, K Saito, T Harada arXiv preprint arXiv:1812.07405, 2018 | 12 | 2018 |
| Mule: Multimodal universal language embedding D Kim, K Saito, K Saenko, S Sclaroff, B Plummer Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11254 …, 2020 | 11 | 2020 |
| 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 | 10 | 2017 |
| DeMIAN: Deep Modality Invariant Adversarial Network K Saito, Y Mukuta, Y Ushiku, T Harada ICCV2017 TASKCV Workshop, 2016 | 10* | 2016 |
| 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 | 8 | 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) Workshops, 0-0, 2018 | 2 | 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) Workshops, 0-0, 2018 | 2 | 2018 |
| OVANet: One-vs-All Network for Universal Domain Adaptation K Saito, K Saenko arXiv preprint arXiv:2104.03344, 2021 | 1 | 2021 |
| Self-supervised Visual Attribute Learning for Fashion Compatibility D Kim, K Saito, K Saenko, S Sclaroff, BA Plummer arXiv preprint arXiv:2008.00348, 2020 | 1 | 2020 |
Tatsuya HaradaThe University of Tokyo確認したメール アドレス: mi.t.u-tokyo.ac.jp
