Kuniaki Saito

73 papers A* 14A 2Misc 1Journal 42Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment.
CoRR
Risa Shinoda, Kaede Shiohara, Nakamasa Inoue, Kuniaki Saito, Hiroaki Santo, Fumio Okura
2026 J jnl
Generalized prompt-driven zero-shot domain adaptive segmentation with feature rectification and semantic modulation.
Comput. Vis. Image Underst.
Jinyi Li, Longyu Yang, Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Xiaofeng Zhu, Ping Hu
2026 J jnl
HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning.
CoRR
Kuniaki Saito, Risa Shinoda, Shohei Tanaka, Tosho Hirasawa, Fumio Okura, Yoshitaka Ushiku
2026 J jnl
Towards Safer Mobile Agents: Scalable Generation and Evaluation of Diverse Scenarios for VLMs.
CoRR
Takara Taniguchi, Kuniaki Saito, Atsushi Hashimoto
2026 J jnl
Where-to-Unmask: Ground-Truth-Guided Unmasking Order Learning for Masked Diffusion Language Models.
CoRR
Hikaru Asano, Tadashi Kozuno, Kuniaki Saito, Yukino Baba
2025 J jnl
AlignBench: Benchmarking Fine-Grained Image-Text Alignment with Synthetic Image-Caption Pairs.
CoRR
Kuniaki Saito, Risa Shinoda, Shohei Tanaka, Tosho Hirasawa, Fumio Okura, Yoshitaka Ushiku
2025 — conf
CRNLI: A Textual Entailment Dataset in the Chemistry Domain.
TSD (2)
Chenhao Chen, Taiga Masuda, Yoshitaka Ushiku, Shohei Tanaka, Kuniaki Saito, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025 J jnl
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning.
CoRR
Kuniaki Saito, Donghyun Kim, Kwanyong Park, Atsushi Hashimoto, Yoshitaka Ushiku
2025 A conf
ERM++: An Improved Baseline for Domain Generalization.
WACV
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2025 A* conf
Is Large-scale Pretraining the Secret to Good Domain Generalization?
ICLR
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2025 — conf
Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction.
MICCAI (15)
Yi Gu, Kuniaki Saito, Jiaxin Ma
2025 J jnl
Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction.
CoRR
Yi Gu, Kuniaki Saito, Jiaxin Ma
2025 — conf
PMC-Vid: A Large-Scale Biomedical Video Captioning Dataset.
ICCVW
Yosuke Yamagishi, Kuniaki Saito, Atsushi Hashimoto, Yoshitaka Ushiku
2025 J jnl
Training-Free Label Space Alignment for Universal Domain Adaptation.
CoRR
Dujin Lee, Sojung An, Jungmyung Wi, Kuniaki Saito, Donghyun Kim
2025 — conf
Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model.
NAACL (Long Papers)
Kuniaki Saito, Chen-Yu Lee, Kihyuk Sohn, Yoshitaka Ushiku
2024 J jnl
Is Large-Scale Pretraining the Secret to Good Domain Generalization?
CoRR
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2024 J jnl
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images.
CoRR
Risa Shinoda, Kuniaki Saito, Shohei Tanaka, Tosho Hirasawa, Yoshitaka Ushiku
2024 J jnl
Unsupervised LLM Adaptation for Question Answering.
CoRR
Kuniaki Saito, Kihyuk Sohn, Chen-Yu Lee, Yoshitaka Ushiku
2024 — conf
Weak-to-Strong Compositional Learning from Generative Models for Language-Based Object Detection.
ECCV (23)
Kwanyong Park, Kuniaki Saito, Donghyun Kim
2024 J jnl
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection.
CoRR
Kwanyong Park, Kuniaki Saito, Donghyun Kim
2023 J jnl
ERM++: An Improved Baseline for Domain Generalization.
CoRR
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2023 J jnl
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection.
CoRR
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
2023 A* conf
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.
CVPR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023 J jnl
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.
CoRR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023 A* conf
Prefix Conditioning Unifies Language and Label Supervision.
CVPR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2022 — conf
Learning to Detect Every Thing in an Open World.
ECCV (24)
Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
2022 J jnl
Prefix Conditioning Unifies Language and Label Supervision.
CoRR
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2021 A* conf
CDS: Cross-Domain Self-supervised Pre-training.
ICCV
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2021 J jnl
Learning to Detect Every Thing in an Open World.
CoRR
Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
2021 A* conf
OVANet: One-vs-All Network for Universal Domain Adaptation.
ICCV
Kuniaki Saito, Kate Saenko
2021 J jnl
OVANet: One-vs-All Network for Universal Domain Adaptation.
CoRR
Kuniaki Saito, Kate Saenko
2021 A* conf
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization.
NeurIPS
Kuniaki Saito, Donghyun Kim, Kate Saenko
2021 J jnl
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers.
CoRR
Kuniaki Saito, Donghyun Kim, Kate Saenko
2021 — conf
Self-supervised Visual Attribute Learning for Fashion Compatibility.
ICCVW
Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021 J jnl
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.
Ryo Toda, Atsushi Teramoto, Masakazu Tsujimoto, Hiroshi Toyama, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
2021 A* conf
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.
ICCV
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021 J jnl
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.
CoRR
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021 J jnl
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
CoRR
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021 — conf
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
NeurIPS (Competition and Demos)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2021 Misc conf
Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation.
MVA
Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi
2020 — conf
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.
ECCV (3)
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020 J jnl
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.
CoRR
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020 J jnl
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels.
CoRR
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2020 A* conf
MULE: Multimodal Universal Language Embedding.
AAAI
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020 J jnl
Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.
Int. J. Comput. Assist. Radiol. Surg.
Yuya Onishi, Atsushi Teramoto, Masakazu Tsujimoto, Tetsuya Tsukamoto, Kuniaki Saito, Hiroshi Toyama, Kazuyoshi Imaizumi, Hiroshi Fujita
2020 J jnl
Self-supervised Visual Attribute Learning for Fashion Compatibility.
CoRR
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020 A* conf
Universal Domain Adaptation through Self Supervision.
NeurIPS
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2020 J jnl
Universal Domain Adaptation through Self Supervision.
CoRR
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2019 J jnl
MULE: Multimodal Universal Language Embedding.
CoRR
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019 A* conf
Semi-Supervised Domain Adaptation via Minimax Entropy.
ICCV
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019 J jnl
Semi-supervised Domain Adaptation via Minimax Entropy.
CoRR
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019 A* conf
Strong-Weak Distribution Alignment for Adaptive Object Detection.
CVPR
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2018 — conf
Adversarial Dropout Regularization.
ICLR (Poster)
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2018 — conf
Generalized Bayesian Canonical Correlation Analysis with Missing Modalities.
ECCV Workshops (6)
Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2018 A* conf
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation.
CVPR
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada
2018 — conf
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation.
ECCV Workshops (5)
Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2018 J jnl
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation.
CoRR
Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2018 — conf
Open Set Domain Adaptation by Backpropagation.
ECCV (5)
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada
2018 J jnl
Open Set Domain Adaptation by Backpropagation.
CoRR
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada
2018 J jnl
Strong-Weak Distribution Alignment for Adaptive Object Detection.
CoRR
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2018 J jnl
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation.
CoRR
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
2018 J jnl
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation.
CoRR
Toshihiko Matsuura, Kuniaki Saito, Tatsuya Harada
2017 J jnl
Adversarial Dropout Regularization.
CoRR
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2017 A* conf
Asymmetric Tri-training for Unsupervised Domain Adaptation.
ICML
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2017 J jnl
Asymmetric Tri-training for Unsupervised Domain Adaptation.
CoRR
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2017 — conf
Deep Modality Invariant Adversarial Network for Shared Representation Learning.
ICCV Workshops
Tatsuya Harada, Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku
2017 A conf
DualNet: Domain-invariant network for visual question answering.
ICME
Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada
2017 J jnl
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation.
CoRR
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada
2017 J jnl
Melody Generation for Pop Music via Word Representation of Musical Properties.
CoRR
Andrew Shin, Léopold Crestel, Hiroharu Kato, Kuniaki Saito, Katsunori Ohnishi, Masataka Yamaguchi, Masahiro Nakawaki, Yoshitaka Ushiku, Tatsuya Harada
2017 A* conf
Spatio-Temporal Person Retrieval via Natural Language Queries.
ICCV
Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2017 J jnl
Spatio-temporal Person Retrieval via Natural Language Queries.
CoRR
Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
2016 J jnl
DeMIAN: Deep Modality Invariant Adversarial Network.
CoRR
Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada
2016 J jnl
DualNet: Domain-Invariant Network for Visual Question Answering.
CoRR
Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada