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2020 – today
- 2024
[c25]Kwanyong Park, Kuniaki Saito, Donghyun Kim:
Weak-to-Strong Compositional Learning from Generative Models for Language-Based Object Detection. ECCV (23) 2024: 1-19- [i29]Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku:
Unsupervised LLM Adaptation for Question Answering. CoRR abs/2402.12170 (2024) - [i28]Kwanyong Park, Kuniaki Saito, Donghyun Kim:
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection. CoRR abs/2407.15296 (2024) - 2023
- [c24]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CVPR 2023: 2861-2870 - [c23]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR 2023: 19305-19314 - [i27]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR abs/2302.03084 (2023) - [i26]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko:
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR abs/2303.14744 (2023) - [i25]Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer:
ERM++: An Improved Baseline for Domain Generalization. CoRR abs/2304.01973 (2023) - 2022
- [c22]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [i24]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko
, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CoRR abs/2206.01125 (2022) - 2021
- [j2]Ryo Toda, Atsushi Teramoto, Masakazu Tsujimoto, Hiroshi Toyama, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita:
Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification. Int. J. Comput. Assist. Radiol. Surg. 16(2): 241-251 (2021) - [c21]Kuniaki Saito, Kate Saenko:
OVANet: One-vs-All Network for Universal Domain Adaptation. ICCV 2021: 8980-8989 - [c20]Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko:
CDS: Cross-Domain Self-supervised Pre-training. ICCV 2021: 9103-9112 - [c19]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV 2021: 9164-9173 - [c18]Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer:
Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW 2021: 1057-1066 - [c17]Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi:
Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. MVA 2021: 1-5 - [c16]Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman:
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) 2021: 66-79 - [c15]Kuniaki Saito, Donghyun Kim, Kate Saenko:
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization. NeurIPS 2021: 25956-25967 - [i23]Kuniaki Saito, Kate Saenko:
OVANet: One-vs-All Network for Universal Domain Adaptation. CoRR abs/2104.03344 (2021) - [i22]Kuniaki Saito, Donghyun Kim, Kate Saenko:
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. CoRR abs/2105.14148 (2021) - [i21]Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman:
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR abs/2107.11011 (2021) - [i20]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR abs/2108.10860 (2021) - [i19]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. CoRR abs/2112.01698 (2021) - 2020
- [j1]Yuya Onishi, Atsushi Teramoto, Masakazu Tsujimoto, Tetsuya Tsukamoto, Kuniaki Saito, Hiroshi Toyama, Kazuyoshi Imaizumi, Hiroshi Fujita:
Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks. Int. J. Comput. Assist. Radiol. Surg. 15(1): 173-178 (2020) - [c14]Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
MULE: Multimodal Universal Language Embedding. AAAI 2020: 11254-11261 - [c13]Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. ECCV (3) 2020: 382-398 - [c12]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko:
Universal Domain Adaptation through Self Supervision. NeurIPS 2020 - [i18]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko:
Universal Domain Adaptation through Self Supervision. CoRR abs/2002.07953 (2020) - [i17]Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko:
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR abs/2003.08264 (2020) - [i16]Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. CoRR abs/2007.07431 (2020) - [i15]Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
Self-supervised Visual Attribute Learning for Fashion Compatibility. CoRR abs/2008.00348 (2020)
2010 – 2019
- 2019
- [c11]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Strong-Weak Distribution Alignment for Adaptive Object Detection. CVPR 2019: 6956-6965 - [c10]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV 2019: 8049-8057 - [i14]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-supervised Domain Adaptation via Minimax Entropy. CoRR abs/1904.06487 (2019) - [i13]Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
MULE: Multimodal Universal Language Embedding. CoRR abs/1909.03493 (2019) - 2018
- [c9]Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada:
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. CVPR 2018: 3723-3732 - [c8]Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada:
Open Set Domain Adaptation by Backpropagation. ECCV (5) 2018: 156-171 - [c7]Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation. ECCV Workshops (5) 2018: 600-616 - [c6]Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Generalized Bayesian Canonical Correlation Analysis with Missing Modalities. ECCV Workshops (6) 2018: 641-656 - [c5]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Adversarial Dropout Regularization. ICLR (Poster) 2018 - [i12]Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada:
Open Set Domain Adaptation by Backpropagation. CoRR abs/1804.10427 (2018) - [i11]Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko:
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR abs/1806.09755 (2018) - [i10]Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation. CoRR abs/1812.04351 (2018) - [i9]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Strong-Weak Distribution Alignment for Adaptive Object Detection. CoRR abs/1812.04798 (2018) - [i8]Toshihiko Matsuura, Kuniaki Saito, Tatsuya Harada:
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation. CoRR abs/1812.07405 (2018) - 2017
- [c4]Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Spatio-Temporal Person Retrieval via Natural Language Queries. ICCV 2017: 1462-1471 - [c3]Tatsuya Harada, Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku:
Deep Modality Invariant Adversarial Network for Shared Representation Learning. ICCV Workshops 2017: 2623-2629 - [c2]Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada:
DualNet: Domain-invariant network for visual question answering. ICME 2017: 829-834 - [c1]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Asymmetric Tri-training for Unsupervised Domain Adaptation. ICML 2017: 2988-2997 - [i7]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Asymmetric Tri-training for Unsupervised Domain Adaptation. CoRR abs/1702.08400 (2017) - [i6]Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Spatio-temporal Person Retrieval via Natural Language Queries. CoRR abs/1704.07945 (2017) - [i5]Andrew Shin, Léopold Crestel, Hiroharu Kato, Kuniaki Saito, Katsunori Ohnishi, Masataka Yamaguchi, Masahiro Nakawaki, Yoshitaka Ushiku, Tatsuya Harada:
Melody Generation for Pop Music via Word Representation of Musical Properties. CoRR abs/1710.11549 (2017) - [i4]Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Adversarial Dropout Regularization. CoRR abs/1711.01575 (2017) - [i3]Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada:
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1712.02560 (2017) - 2016
- [i2]Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada:
DualNet: Domain-Invariant Network for Visual Question Answering. CoRR abs/1606.06108 (2016) - [i1]Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
DeMIAN: Deep Modality Invariant Adversarial Network. CoRR abs/1612.07976 (2016)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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