Kuniaki Saito

发表

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

Kate Saenko, Xingchao Peng, Judy Hoffman, 2018, ArXiv.

Universal Domain Adaptation through Self Supervision pdf

Kate Saenko, Stan Sclaroff, Donghyun Kim, 2020, NeurIPS.

Step 1 : Update Estimated Prototypes Step 2 : Update Feature Extractor Estimated Prototypes Labeled Source Labeled Target Unlabeled Target Class

Trevor Darrell, S. Sclaroff, Kate Saenko, 2019 .

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

Hiroshi Fujita, Kazuyoshi Imaizumi, Atsushi Teramoto, 2019, BioMed research international.

Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes

Hiroshi Fujita, Kazuyoshi Imaizumi, Atsushi Teramoto, 2020, Radiological Physics and Technology.

Asymmetric Tri-training for Unsupervised Domain Adaptation

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2017, ICML.

Decision Support System for Lung Cancer Using PET/CT and Microscopic Images.

H. Fujita, T. Tsukamoto, Kuniaki Saito, 2020, Advances in experimental medicine and biology.

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

Tatsuya Harada, Hiroharu Kato, Kuniaki Saito, 2017, ArXiv.

A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT

H. Fujita, Kuniaki Saito, A. Teramoto, 2019, Radiological Physics and Technology.

Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy

Hiroshi Fujita, Kazuyoshi Imaizumi, Atsushi Teramoto, 2019, Asia Oceania journal of nuclear medicine & biology.

Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN

H. Fujita, Kuniaki Saito, N. Ohmiya, 2020, Applied Sciences.

Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network

Hiroshi Fujita, Atsushi Teramoto, Ke Yan, 2019, Informatics in Medicine Unlocked.

Prefix Conditioning Unifies Language and Label Supervision

X. Zhang, Kate Saenko, Kihyuk Sohn, 2022, ArXiv.

Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images

Kuniaki Saito, A. Teramoto, Hyuga Yamada, 2022, Diagnostics.

Semi-Supervised Domain Adaptation via Minimax Entropy

Trevor Darrell, S. Sclaroff, Kate Saenko, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Kate Saenko, Xingchao Peng, Kuniaki Saito, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation

Kuniaki Saito, A. Teramoto, K. Imaizumi, 2022, Scientific Reports.

Fully Automated Electronic Cleansing Using CycleGAN in Computed Tomography Colonography

Kuniaki Saito, A. Teramoto, H. Fujita, 2022, Applied Sciences.

[Prognosis Prediction of Lung Cancer Patients Using CT Images: Feature Extraction by Convolutional Neural Network and Prediction by Machine Learning].

Kuniaki Saito, A. Teramoto, K. Imaizumi, 2022, Nihon Hoshasen Gijutsu Gakkai zasshi.

Automated Classification of Idiopathic Pulmonary Fibrosis in Pathological Images Using Convolutional Neural Network and Generative Adversarial Networks

Kuniaki Saito, A. Teramoto, K. Imaizumi, 2022, Diagnostics.

Strong-Weak Distribution Alignment for Adaptive Object Detection

Kate Saenko, Tatsuya Harada, Kuniaki Saito, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Tatsuya Harada, Kohei Watanabe, Kuniaki Saito, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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

Kate Saenko, Kuniaki Saito, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Development of Pathological Diagnosis Support System Using Micro-computed Tomography

H. Fujita, T. Tsukamoto, Kuniaki Saito, 2021, Acta histochemica et cytochemica.

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

Kazuyoshi Imaizumi, Atsushi Teramoto, Hiroshi Fujita, 2019, International Journal of Computer Assisted Radiology and Surgery.

Adversarial Dropout Regularization pdf

Kate Saenko, Tatsuya Harada, Kuniaki Saito, 2017, ICLR.

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

Kazuyoshi Imaizumi, Atsushi Teramoto, Hiroshi Fujita, 2020, PloS one.

Spatio-Temporal Person Retrieval via Natural Language Queries

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Open Set Domain Adaptation by Backpropagation

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2018, ECCV.

Deep Modality Invariant Adversarial Network for Shared Representation Learning

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection

Kate Saenko, R. Feris, Piotr Teterwak, 2023, ArXiv.

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

Kate Saenko, Kihyuk Sohn, Tomas Pfister, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Kate Saenko, Ming-Yu Liu, Kuniaki Saito, 2020, ECCV.

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Tatsuya Harada, Kohei Watanabe, Kuniaki Saito, 2018, ECCV Workshops.

Learning to Detect Every Thing in an Open World

Trevor Darrell, Kuniaki Saito, Kate Saenko, 2021, European Conference on Computer Vision.

Self-supervised Visual Attribute Learning for Fashion Compatibility pdf

Donghyun Kim, Kate Saenko, Stan Sclaroff, 2020, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Prefix Conditioning Unifies Language and Label Supervision

X. Zhang, Kate Saenko, Kihyuk Sohn, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Tae-Hyun Oh, Donghyun Kim, Kate Saenko, 2020, ArXiv.

Prediction of Short-Term Mortality of Cardiac Care Unit Patients Using Image-Transformed ECG Waveforms

Kuniaki Saito, E. Watanabe, A. Teramoto, 2023, IEEE Journal of Translational Engineering in Health and Medicine.

Estimating subjective evaluation of low-contrast resolution using convolutional neural networks

H. Fujita, Kuniaki Saito, A. Teramoto, 2021, Physical and Engineering Sciences in Medicine.

Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning

H. Fujita, T. Tsukamoto, Kuniaki Saito, 2021, Scientific Reports.

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

Hiroshi Fujita, Kazuyoshi Imaizumi, Atsushi Teramoto, 2021, International Journal of Computer Assisted Radiology and Surgery.

Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network

H. Fujita, T. Tsukamoto, Kuniaki Saito, 2021, Heliyon.

ERM++: An Improved Baseline for Domain Generalization

Bryan A. Plummer, Kate Saenko, Piotr Teterwak, 2023, ArXiv.

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

Kate Saenko, Donghyun Kim, Kuniaki Saito, 2021, NeurIPS.

MULE: Multimodal Universal Language Embedding

Bryan A. Plummer, S. Sclaroff, Kate Saenko, 2019, AAAI.

A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features

Hiroshi Fujita, Atsushi Teramoto, Kuniaki Saito, 2019, Radiological Physics and Technology.

Automated Detection of Gastric Cancer by Retrospective Endoscopic Image Dataset Using U-Net R-CNN

H. Fujita, Kuniaki Saito, Y. Hirooka, 2021, Applied Sciences.

CDS: Cross-Domain Self-supervised Pre-training

Bryan A. Plummer, S. Sclaroff, Kate Saenko, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Kate Saenko, Kuniaki Saito, Donghyun Kim, 2021, NeurIPS.

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

Trevor Darrell, Kate Saenko, Stan Sclaroff, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Under review as a conference paper at ICLR 2018

G. D. Magoulas, Kate Saenko, Alan Mosca, 2017 .

DeMIAN: Deep Modality Invariant Adversarial Network pdf

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2016, ArXiv.

Maximum Classiﬁer Discrepancy for Unsupervised Domain Adaptation

Kuniaki Saito, T. Harada, Y. Ushiku, 2018 .

ERM++: An Improved Baseline for Domain Generalization

Bryan A. Plummer, Kate Saenko, Piotr Teterwak, 2023, ArXiv.

Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images

Kuniaki Saito, A. Teramoto, Yuki Suzuki, 2023, Applied Sciences.

Adversarial Dropout Regularization

Kate Saenko, Kuniaki Saito, Y. Ushiku, 2017, ICLR.

Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction

Kihyuk Sohn, Kuniaki Saito, Chen-Yu Lee, 2024, 2402.12170.

Hybrid Scheme for Automated Classification of Pulmonary Nodules Using PET/CT Images and Patient Information

Hiroshi Fujita, Kuniaki Saito, Atsushi Teramoto, 2020, Applied Sciences.

Generalized Bayesian Canonical Correlation Analysis with Missing Modalities

Tatsuya Harada, Kuniaki Saito, Yoshitaka Ushiku, 2018, ECCV Workshops.