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 | 462 | 2018 |
Asymmetric Tri-training for Unsupervised Domain Adaptation K Saito, Y Ushiku, T Harada ICML 2017, 2017 | 270 | 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 | 130 | 2018 |
Adversarial dropout regularization K Saito, Y Ushiku, T Harada, K Saenko arXiv preprint arXiv:1711.01575, 2017 | 94 | 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 | 84 | 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 | 64 | 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 | 40 | 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 | 36 | 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 |
Universal domain adaptation through self supervision K Saito, D Kim, S Sclaroff, K Saenko arXiv preprint arXiv:2002.07953, 2020 | 10 | 2020 |
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 | 9 | 2017 |
DeMIAN: Deep Modality Invariant Adversarial Network K Saito, Y Mukuta, Y Ushiku, T Harada ICCV2017 TASKCV Workshop, 2016 | 9* | 2016 |
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 | 5 | 2020 |
MULE: Multimodal Universal Language Embedding. D Kim, K Saito, K Saenko, S Sclaroff, BA Plummer AAAI, 11254-11261, 2020 | 5 | 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 |
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 | 2 | 2018 |
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 |
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 |
Adversarial Learning Approach for Open Set Domain Adaptation K Saito, S Yamamoto, Y Ushiku, T Harada Domain Adaptation in Computer Vision with Deep Learning, 175-193, 2020 | | 2020 |