| 2026 | SIGIR | Revisiting the Role of Learned Attention Weighting in SASRec. | Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ECIR | LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation. | Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. | Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Generative Dataset Distillation Based on Self-knowledge Distillation. | Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. | Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama |
| 2025 | ICASSP | Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. | Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICIP | Out-of-Distribution Sample Selection Generated by Diffusion Model toward Model Generalization. | Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICIP | Enhancing Adversarial Robustness of Foundation Models Without Data Centralization. | Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | VR | Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis. | Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | SiggraphA | MLLM-guided Training-free Spherical Panorama Generation from a Single Image. | Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | SiggraphA | Lost in the Interface: How Structured UI Complexity Challenges Large Vision Language Models in Games. | Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | CVPR | Generative Dataset Distillation: Balancing Global Structure and Local Details. | Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ECCV | RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ECCV | Generative Dataset Distillation Based on Diffusion Model. | Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. | Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. | Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. | Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. | He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. | Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Reinforcing Pre-Trained Models Using Counterfactual Images. | Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs. | Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | SiggraphA | Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. | Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | SiggraphA | An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. | Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. | Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. | Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Binauralization Robust To Camera Rotation Using 360° Videos. | Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. | Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Interpretable Visual Question Answering Referring to Outside Knowledge. | He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICLR | Gromov-Wasserstein Autoencoders. | Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ECCV | Union-Set Multi-source Model Adaptation for Semantic Segmentation. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Divergence-Guided Feature Alignment for Cross-Domain Object Detection. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Segmentation-Aware Text-Guided Image Manipulation. | Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. | Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICASSP | Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Soft-Label Anonymous Gastric X-Ray Image Distillation. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Estimation Of Visual Contents Based On Question Answering From Human Brain Activity. | Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space. | Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Multimodal Image-to-Image Translation for Generation of Gastritis Images. | Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network. | Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Scene Retrieval for Video Summarization Based on Text-to-Image gan. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network. | Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-Image GAN. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2018 | ICIP | Anonymous Gastritis Image Generation via Adversarial Learning from Gastric X-Ray Images. | Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |