Kuniaki Saito
タイトル
引用先
引用先
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
4622018
Asymmetric Tri-training for Unsupervised Domain Adaptation
K Saito, Y Ushiku, T Harada
ICML 2017, 2017
2702017
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
1302018
Adversarial dropout regularization
K Saito, Y Ushiku, T Harada, K Saenko
arXiv preprint arXiv:1711.01575, 2017
942017
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
842019
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
642019
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
402017
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
362018
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
192017
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
arXiv preprint arXiv:2002.07953, 2020
102020
TWINs: Two weighted inconsistency-reduced networks for partial domain adaptation
T Matsuura, K Saito, T Harada
arXiv preprint arXiv:1812.07405, 2018
102018
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
92017
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
52020
MULE: Multimodal Universal Language Embedding.
D Kim, K Saito, K Saenko, S Sclaroff, BA Plummer
AAAI, 11254-11261, 2020
52020
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
42020
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
22018
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
12018
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
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