Kuniaki Saito

According to our database, Kuniaki Saito authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised LLM Adaptation for Question Answering.

Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku

CoRR, 2024

2023

ERM++: An Improved Baseline for Domain Generalization.

Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer

CoRR, 2023

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection.

Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko

CoRR, 2023

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.

Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prefix Conditioning Unifies Language and Label Supervision.

Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning to Detect Every Thing in an Open World.

Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko

Proceedings of the Computer Vision, 2022

2021

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.

Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman

CoRR, 2021

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers.

Kuniaki Saito, Donghyun Kim, Kate Saenko

CoRR, 2021

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.

Ryo Toda, Atsushi Teramoto, Masakazu Tsujimoto, Hiroshi Toyama, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita

Int. J. Comput. Assist. Radiol. Surg., 2021

OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization.

Kuniaki Saito, Donghyun Kim, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.

Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation.

Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Self-supervised Visual Attribute Learning for Fashion Compatibility.

Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

OVANet: One-vs-All Network for Universal Domain Adaptation.

Kuniaki Saito, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.

Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CDS: Cross-Domain Self-supervised Pre-training.

Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Self-supervised Visual Attribute Learning for Fashion Compatibility.

Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer

CoRR, 2020

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels.

Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko

CoRR, 2020

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.

Yuya Onishi, Atsushi Teramoto, Masakazu Tsujimoto, Tetsuya Tsukamoto, Kuniaki Saito, Hiroshi Toyama, Kazuyoshi Imaizumi, Hiroshi Fujita

Int. J. Comput. Assist. Radiol. Surg., 2020

Universal Domain Adaptation through Self Supervision.

Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.

Kuniaki Saito, Kate Saenko, Ming-Yu Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

MULE: Multimodal Universal Language Embedding.

Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semi-Supervised Domain Adaptation via Minimax Entropy.

Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Strong-Weak Distribution Alignment for Adaptive Object Detection.

Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation.

Toshihiko Matsuura, Kuniaki Saito, Tatsuya Harada

CoRR, 2018

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation.

Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko

CoRR, 2018

Adversarial Dropout Regularization.

Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko

Proceedings of the 6th International Conference on Learning Representations, 2018

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation.

Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Open Set Domain Adaptation by Backpropagation.

Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the Computer Vision - ECCV 2018, 2018

Generalized Bayesian Canonical Correlation Analysis with Missing Modalities.

Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation.

Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Melody Generation for Pop Music via Word Representation of Musical Properties.

Andrew Shin, Léopold Crestel, Hiroharu Kato, Kuniaki Saito, Katsunori Ohnishi, Masataka Yamaguchi, Masahiro Nakawaki, Yoshitaka Ushiku, Tatsuya Harada

CoRR, 2017

Asymmetric Tri-training for Unsupervised Domain Adaptation.

Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 34th International Conference on Machine Learning, 2017

DualNet: Domain-invariant network for visual question answering.

Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Deep Modality Invariant Adversarial Network for Shared Representation Learning.

Tatsuya Harada, Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Spatio-Temporal Person Retrieval via Natural Language Queries.

Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

DeMIAN: Deep Modality Invariant Adversarial Network.

Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada

CoRR, 2016