Estimation of salient regions related to chronic gastritis using gastric X-ray images. - Ren Togo; Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2016)

Aesthetic quality assessment of images via Supervised Locality Preserving CCA. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Image Retrieval from Vague Description Based on AttnGAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Anonymous Gastritis Image Generation via Adversarial Learning from Gastric X-Ray Images. - Ren Togo; Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2018)

Aesthetic Style Transfer through Text-to-image Synthesis and Image-to-image Translation. - Megumi Kotera; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Effectiveness Evaluation of Deep Features for Image Reconstruction from fMRI Signals. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Detection of Distress Region from Subway Tunnel Images via U-net-based Deep Semantic Segmentation. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Estimation of Drilling Energy from Tunnel Cutting Face Image Based on Online Learning. - Kentaro Yamamoto; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Voice-Input Multimedia Information Retrieval System Based on Text-to-image GAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Scene Retrieval for Video Summarization Based on Text-to-Image gan. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-Image GAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Fine-tuning of Pre-trained DCNN for Gastritis Detection from Gastric X-ray Images. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images. - Ren Togo; Takahiro Ogawa 001; Osamu Manabe; Kenji Hirata; Tohru Shiga; Miki Haseyama (LifeTech, 2019)

Bone Metastatic Tumor Detection based on AnoGAN Using CT Images. - Haruna Watanabe; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN. - Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model. - Ren Togo; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps. - Ren Togo; Kenji Hirata; Osamu Manabe; Hiroshi Ohira; Ichizo Tsujino; Keiichi Magota; Takahiro Ogawa 001; Miki Haseyama; Tohru Shiga (Comput. Biol. Medicine, 2019)

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Face Synthesis via User Manipulation of Disentangled Latent Representation. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Question Answering for Estimation of Seen Image Contents from Multi-subject fMRI Responses. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2020)

Image Retrieval with Data Augmentation of Sentence Labels Based on Paraphrasing. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Soft-Label Anonymous Gastric X-Ray Image Distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Estimation Of Visual Contents Based On Question Answering From Human Brain Activity. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Multimodal Image-to-Image Translation for Generation of Gastritis Images. - Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Estimating Viewed Images with Natural Language Question Answering from fMRI Data. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Interactive re-ranking for cross-modal retrieval based on object-wise question answering. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2020)

Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination. - Ren Togo; Haruna Watanabe; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2020)

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Medical Biol. Eng. Comput., 2020)

Multi-class Similar Scene Retrieval in Soccer Videos: A Scene Confusion Reduction Method Based on Combination of Long and Short Frame Sequences. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Sports Action Detection Based on Self-Supervised Feature Learning and Object Detection. - Tsuyoshi Masuda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose Estimation. - Shunya Ohaga; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Estimating Imagined Images from Brain Activities via Visual Question Answering. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Detection of Off-screen Sound Based on Loss Function of Self-supervised Audio-visual Spatialization. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph Exploration. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

Segmentation-Aware Text-Guided Image Manipulation. - Tomoki Haruyama; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Music Playlist Generation Based on Graph Exploration Using Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

Question Answering from Brain Activity Data via Decoder Based on Neural Networks. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

IR Questioner: QA-based Interactive Retrieval System. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICMR, 2021)

Database-adaptive Re-ranking for Enhancing Cross-modal Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2021)

Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models. - Ren Togo; Megumi Kotera; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. - Ren Togo; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Union-Set Multi-source Model Adaptation for Semantic Segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV (29), 2022)

Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Free-viewpoint Sports Video Generation Based on Dynamic NeRF Considering Time Series. - Masato Kawai; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2022)

GCN-based Collaborative Filtering Considering Personality Bias. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. - Kazuki Yamamoto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Cross-modal Image Retrieval Considering Semantic Relationships with Object Information. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Divergence-Guided Feature Alignment for Cross-Domain Object Detection. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Scene Retrieval in Soccer Videos by Spatial-temporal Attention with Video Vision Transformer. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. - Tsuyoshi Masuda; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Multi-scale Defect Detection from Subway Tunnel Images with Spatial Attention Mechanism. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Transformer Based Multimodal Scene Recognition in Soccer Videos. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICME Workshops, 2022)

Knowledge-Guided Sequential Recommendation with Reinforcement Learning Using Empirical Distribution Function. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2022)

Generating Captions of Imagined content from Human Brain Activities Applying An Image Captioning Model. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2022)

Disentangled Image Attribute Editing in Latent Space via Mask-Based Retention Loss. - Shunya Ohaga; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Rubber Material Retrieval System using Electron Microscope Images for Rubber Material Development. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Methods Programs Biomed., 2022)

Dataset Distillation for Medical Dataset Sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

Similar interior coordination image retrieval with multi-view features. - Ren Togo; Yuki Honma; Maiku Abe; Takahiro Ogawa 001; Miki Haseyama (Int. J. Multim. Inf. Retr., 2022)

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2022)

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Pattern Recognit., 2022)

Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. - Keisuke Maeda; Saya Takada; Tomoki Haruyama; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. - Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Shin-ichi Adachi; Fumiaki Yoshizawa; Miki Haseyama (Sensors, 2022)

Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Defect Detection of Subway Tunnels Using Advanced U-Net Network. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Bundle Detection based on Graph Convolutional Network Considering Categorical Hierarchical Relationship. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

A Controllable Recoloring Method for Novel Views Using Segment Anything Model. - Haoyang Wang; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Binauralization Robust To Camera Rotation Using 360° Videos. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICCE-Taiwan, 2023)

Binaural Audio Generation with Data Augmentation from 360° Videos. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

A Medical Domain Visual Question Generation Model via Large Language Model. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Interpretable Visual Question Answering Referring to Outside Knowledge. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Gromov-Wasserstein Autoencoders. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICLR, 2023)

Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. - Yuya Moroto; Rintaro Yanagi; Naoki Ogawa; Kyohei Kamikawa; Keigo Sakurai; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2023)

Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. - Rintaro Yanagi; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Cross-Modal Image Retrieval Considering Semantic Relationships With Many-to-Many Correspondence Loss. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

COVID-19 detection based on self-supervised transfer learning using chest X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2023)

Self-supervised learning for gastritis detection with gastric X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Generative Dataset Distillation: Balancing Global Structure and Local Details. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CVPR Workshops, 2024)

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (14), 2024)

Generative Dataset Distillation Based on Diffusion Model. - Duo Su; Junjie Hou; Guang Li 008; Ren Togo; Rui Song 007; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (19), 2024)

Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. - Kaede Hayakawa; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Generative Dataset Distillation Based on Large Model Pool. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. - Tasuku Nakajima; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2024)

Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Lung Disease Classification with Limited Training Data Based on Weight Selection Technique. - Ayaka Tsutsumi; Guang Li 008; Ren Togo; Takahiro Ogawa 001; Satoshi Kondo; Miki Haseyama (GCCE, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Structured Polyphonic Music Generation with Diffusion Transformer. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Discriminator-enhanced Music Generation Based on Multitrack Music Transformer. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Reinforcing Pre-Trained Models Using Counterfactual Images. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

MMT-BERT: Chord-Aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISMIR, 2024)

DQG: Database Question Generation for Exact Text-based Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2024)

Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Posters, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Technical Communications, 2024)

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Dataset Distillation Using Parameter Pruning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Importance-aware adaptive dataset distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Neural Networks, 2024)

Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Multim. Inf. Retr., 2024)

Flexibly manipulating popularity bias for tackling trade-offs in recommendation. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Inf. Process. Manag., 2024)

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. - Guang Li 008; Ren Togo; Keisuke Maeda; Akinori Sako; Isao Yamauchi; Tetsuya Hayakawa; Shigeyuki Nakamae; Takahiro Ogawa 001; Miki Haseyama (Remote. Sens., 2024)

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. - Yuhu Feng; Jiahuan Zhang; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. - Yuya Moroto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECIR (2), 2025)

Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Generative Dataset Distillation Based on Self-knowledge Distillation. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICASSP, 2025)

Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (VR Workshops, 2025)

AMDIS: Amplitude Dissimilarity Reduced Reference IQA Metric for Neural Radiance Field. - Ren Togo; Rintaro Yanagi; Masato Kawai; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Serv. Comput., 2025)

ConcVAE: Conceptual Representation Learning. - Ren Togo; Nao Nakagawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Neural Networks Learn. Syst., 2025)