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
5482018
Asymmetric Tri-training for Unsupervised Domain Adaptation
K Saito, Y Ushiku, T Harada
ICML 2017, 2017
2982017
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
1462018
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
1132019
Adversarial dropout regularization
K Saito, Y Ushiku, T Harada, K Saenko
arXiv preprint arXiv:1711.01575, 2017
1132017
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
902019
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
482017
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
382018
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
232017
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
arXiv preprint arXiv:2002.07953, 2020
152020
Twins: Two weighted inconsistency-reduced networks for partial domain adaptation
T Matsuura, K Saito, T Harada
arXiv preprint arXiv:1812.07405, 2018
122018
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
102020
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
102017
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
92020
DeMIAN: Deep Modality Invariant Adversarial Network
K Saito, Y Mukuta, Y Ushiku, T Harada
ICCV2017 TASKCV Workshop, 2016
9*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
72020
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
22018
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
22018
Generation of pseudo chest X-ray images from computed tomographic images by nonlinear transformation and bone enhancement
N MATSUBARA, A TERAMOTO, K SAITO, H FUJITA
Medical Imaging and Information Sciences 36 (3), 141-146, 2019
12019
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
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