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2020 – today

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2025
[j42]
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Ren Togo, Nao Nakagawa, Takahiro Ogawa, Miki Haseyama:
ConcVAE: Conceptual Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7529-7541 (2025)
[c114]
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  - conf/ecir/SakuraiTOH25
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation. ECIR (2) 2025: 263-278
[c113]
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  - conf/vr/YoshidaT0H25
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis. VR Workshops 2025: 1412-1413
[i28]
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  - journals/corr/abs-2501-04202
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Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation Based on Self-knowledge Distillation. CoRR abs/2501.04202 (2025)
[i27]
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  - journals/corr/abs-2501-04217
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Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. CoRR abs/2501.04217 (2025)
2024
[j41]
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  - journals/ieiceta/LiTOH24
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Distillation Using Parameter Pruning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(6): 936-940 (2024)
[j40]
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Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts. Int. J. Multim. Inf. Retr. 13(1): 14 (2024)
[j39]
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  - journals/ipm/OkamuraMTOH24
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Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Flexibly manipulating popularity bias for tackling trade-offs in recommendation. Inf. Process. Manag. 61(2): 103606 (2024)
[j38]
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  - journals/nn/LiTOH24
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Importance-aware adaptive dataset distillation. Neural Networks 172: 106154 (2024)
[j37]
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  - journals/remotesensing/LiTMSYHNOH24
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Guang Li, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa, Miki Haseyama:
Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. Remote. Sens. 16(10): 1742 (2024)
[j36]
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  - journals/sensors/WatanabeTMOH24
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. Sensors 24(3): 921 (2024)
[j35]
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  - journals/sensors/FengZLTMOH24
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Yuhu Feng, Jiahuan Zhang, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. Sensors 24(10): 3035 (2024)
[j34]
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  - journals/sensors/TogoTMOH24
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Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. Sensors 24(10): 3087 (2024)
[j33]
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  - journals/sensors/MorotoMTOH24
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Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. Sensors 24(11): 3440 (2024)
[c112]
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  - conf/cvpr/Li0TM0H22
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Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation: Balancing Global Structure and Local Details. CVPR Workshops 2024: 7664-7671
[c111]
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  - conf/gcce/ZhuST0H24
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Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Structured Polyphonic Music Generation with Diffusion Transformer. GCCE 2024: 8-9
[c110]
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  - conf/gcce/HayakawaMT0H24
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Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. GCCE 2024: 10-11
[c109]
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  - conf/gcce/ToishiMT0H24
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Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. GCCE 2024: 148-149
[c108]
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  - conf/gcce/Tasai0TTYSH0KH24
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Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database. GCCE 2024: 456-457
[c107]
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  - conf/gcce/LiLTM0H24
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Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation Based on Large Model Pool. GCCE 2024: 458-459
[c106]
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  - conf/gcce/TsutsumiLT0KH24
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Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama:
Lung Disease Classification with Limited Training Data Based on Weight Selection Technique. GCCE 2024: 460-461
[c105]
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  - conf/gcce/UchidaTM0H24
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Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. GCCE 2024: 1163-1164
[c104]
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  - conf/gcce/KubotaTM0H24
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Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. GCCE 2024: 1165-1166
[c103]
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  - conf/gcce/NakajimaMT0H24
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Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. GCCE 2024: 1183-1184
[c102]
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  - conf/icassp/ZhuT0H24
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. ICASSP 2024: 1821-1825
[c101]
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  - conf/icassp/KashiwagiMT0H24
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Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. ICASSP 2024: 6235-6239
[c100]
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  - conf/icassp/SatoMT0H24
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Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. ICASSP 2024: 8085-8089
[c99]
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  - conf/icassp/MatsudaTM0H24
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Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. ICASSP 2024: 8140-8144
[c98]
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  - conf/icce-tw/EraTM0H24
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Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. ICCE-Taiwan 2024: 127-128
[c97]
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  - conf/icce-tw/ZhuST0H24
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Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Discriminator-enhanced Music Generation Based on Multitrack Music Transformer. ICCE-Taiwan 2024: 363-364
[c96]
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  - conf/icce-tw/TogoTM0H24
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Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. ICCE-Taiwan 2024: 457-458
[c95]
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  - conf/ismir/ZhuST0H24
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Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
MMT-BERT: Chord-Aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT. ISMIR 2024: 470-477
[c94]
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  - conf/mm/YanagiT0H24
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
DQG: Database Question Generation for Exact Text-based Image Retrieval. ACM Multimedia 2024: 7424-7433
[c93]
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  - conf/siggrapha/UchidaTM0H24
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Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. SIGGRAPH Asia Technical Communications 2024: 31:1-31:4
[c92]
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  - conf/siggrapha/EraTM0H24
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Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. SIGGRAPH Asia Posters 2024: 78:1-78:3
[i26]
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  - journals/corr/abs-2401-15863
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Importance-Aware Adaptive Dataset Distillation. CoRR abs/2401.15863 (2024)
[i25]
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  - journals/corr/abs-2402-09677
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Prompt-based Personalized Federated Learning for Medical Visual Question Answering. CoRR abs/2402.09677 (2024)
[i24]
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  - journals/corr/abs-2403-18258
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Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. CoRR abs/2403.18258 (2024)
[i23]
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  - journals/corr/abs-2404-17732
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Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation: Balancing Global Structure and Local Details. CoRR abs/2404.17732 (2024)
[i22]
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  - journals/corr/abs-2406-13316
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Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Reinforcing Pre-trained Models Using Counterfactual Images. CoRR abs/2406.13316 (2024)
[i21]
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  - journals/corr/abs-2406-18836
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Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs. CoRR abs/2406.18836 (2024)
[i20]
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  - journals/corr/abs-2407-05814
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Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition. CoRR abs/2407.05814 (2024)
[i19]
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  - journals/corr/abs-2408-08610
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Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation Based on Diffusion Model. CoRR abs/2408.08610 (2024)
[i18]
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  - journals/corr/abs-2409-00919
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Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
MMT-BERT: Chord-aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT. CoRR abs/2409.00919 (2024)
[i17]
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  - journals/corr/abs-2409-01534
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Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. CoRR abs/2409.01534 (2024)
[i16]
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  - journals/corr/abs-2410-17484
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering. CoRR abs/2410.17484 (2024)
[i15]
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  - journals/corr/abs-2412-12464
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation. CoRR abs/2412.12464 (2024)
2023
[j32]
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  - journals/access/ZhangYTOH23
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Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-Modal Image Retrieval Considering Semantic Relationships With Many-to-Many Correspondence Loss. IEEE Access 11: 10675-10686 (2023)
[j31]
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  - journals/access/WatanabeTMOH23
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. IEEE Access 11: 42534-42545 (2023)
[j30]
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  - journals/access/YanagiTMOH23
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Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. IEEE Access 11: 88258-88264 (2023)
[j29]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
COVID-19 detection based on self-supervised transfer learning using chest X-ray images. Int. J. Comput. Assist. Radiol. Surg. 18(4): 715-722 (2023)
[j28]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Self-supervised learning for gastritis detection with gastric X-ray images. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1841-1848 (2023)
[j27]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling. Comput. Biol. Medicine 158: 106877 (2023)
[j26]
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation. Sensors 23(3): 1057 (2023)
[j25]
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio. Sensors 23(9): 4540 (2023)
[j24]
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. Sensors 23(22): 9287 (2023)
[j23]
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Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. Sensors 23(23): 9607 (2023)
[c91]
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Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. GCCE 2023: 390-391
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Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. GCCE 2023: 415-416
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Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Controllable Recoloring Method for Novel Views Using Segment Anything Model. GCCE 2023: 587-588
[c88]
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Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. GCCE 2023: 759-760
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Bundle Detection based on Graph Convolutional Network Considering Categorical Hierarchical Relationship. GCCE 2023: 827-828
[c86]
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Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. GCCE 2023: 829-830
[c85]
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Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. GCCE 2023: 831-832
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Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. ICASSP 2023: 1-5
[c83]
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Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. ICASSP 2023: 1-5
[c82]
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Binauralization Robust To Camera Rotation Using 360° Videos. ICASSP 2023: 1-5
[c81]
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
A Medical Domain Visual Question Generation Model via Large Language Model. ICCE-Taiwan 2023: 163-164
[c80]
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Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. ICCE-Taiwan 2023: 165-166
[c79]
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Binaural Audio Generation with Data Augmentation from 360° Videos. ICCE-Taiwan 2023: 795-796
[c78]
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Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval. ICCE-Taiwan 2023: 811-812
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. ICIP 2023: 361-365
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Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. ICIP 2023: 2005-2009
[c75]
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. ICIP 2023: 2140-2144
[c74]
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gromov-Wasserstein Autoencoders. ICLR 2023
[c73]
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Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. ACM Multimedia 2023: 9399-9401
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. CoRR abs/2303.04388 (2023)
2022
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Compressed gastric image generation based on soft-label dataset distillation for medical data sharing. Comput. Methods Programs Biomed. 227: 107189 (2022)
[j21]
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Ren Togo, Yuki Honma, Maiku Abe, Takahiro Ogawa, Miki Haseyama:
Similar interior coordination image retrieval with multi-view features. Int. J. Multim. Inf. Retr. 11(4): 731-740 (2022)
[j20]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum. Multim. Tools Appl. 81(22): 32287-32303 (2022)
[j19]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation. Pattern Recognit. 132: 108911 (2022)
[j18]
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An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Defect Detection of Subway Tunnels Using Advanced U-Net Network. Sensors 22(6): 2330 (2022)
[j17]
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning. Sensors 22(10): 3722 (2022)
[j16]
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Keisuke Maeda, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. Sensors 22(22): 8932 (2022)
[j15]
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Keisuke Maeda, Ren Togo, Takahiro Ogawa, Shin-ichi Adachi, Fumiaki Yoshizawa, Miki Haseyama:
Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. Sensors 22(23): 9496 (2022)
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 68:1-68:17 (2022)
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-Set Multi-source Model Adaptation for Semantic Segmentation. ECCV (29) 2022: 579-595
[c71]
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Kazuki Yamamoto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. GCCE 2022: 135-136
[c70]
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Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. GCCE 2022: 137-138
[c69]
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Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
GCN-based Collaborative Filtering Considering Personality Bias. GCCE 2022: 278-279
[c68]
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Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. GCCE 2022: 402-403
[c67]
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Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. GCCE 2022: 404-405
[c66]
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Masato Kawai, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Free-viewpoint Sports Video Generation Based on Dynamic NeRF Considering Time Series. GCCE 2022: 408-409
[c65]
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Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-modal Image Retrieval Considering Semantic Relationships with Object Information. GCCE 2022: 775-776
[c64]
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor. GCCE 2022: 777-778
[c63]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. ICASSP 2022: 1371-1375
[c62]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Divergence-Guided Feature Alignment for Cross-Domain Object Detection. ICASSP 2022: 2240-2244
[c61]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. ICASSP 2022: 3458-3462
[c60]
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. ICASSP 2022: 4818-4822
[c59]
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Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. ICCE-TW 2022: 303-304
[c58]
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An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multi-scale Defect Detection from Subway Tunnel Images with Spatial Attention Mechanism. ICCE-TW 2022: 305-306
[c57]
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Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Scene Retrieval in Soccer Videos by Spatial-temporal Attention with Video Vision Transformer. ICCE-TW 2022: 453-454
[c56]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. ICIP 2022: 421-425
[c55]
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. ICIP 2022: 1046-1050
[c54]
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Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Transformer Based Multimodal Scene Recognition in Soccer Videos. ICME Workshops 2022: 1-6
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Knowledge-Guided Sequential Recommendation with Reinforcement Learning Using Empirical Distribution Function. LifeTech 2022: 187-188
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Generating Captions of Imagined content from Human Brain Activities Applying An Image Captioning Model. LifeTech 2022: 614-615
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Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Disentangled Image Attribute Editing in Latent Space via Mask-Based Retention Loss. MMAsia 2022: 25:1-25:7
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Rubber Material Retrieval System using Electron Microscope Images for Rubber Material Development. MMAsia 2022: 44:1-44:3
[i13]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. CoRR abs/2206.03009 (2022)
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. CoRR abs/2206.03012 (2022)
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gromov-Wasserstein Autoencoders. CoRR abs/2209.07007 (2022)
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Distillation for Medical Dataset Sharing. CoRR abs/2209.14603 (2022)
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Distillation using Parameter Pruning. CoRR abs/2209.14609 (2022)
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing. CoRR abs/2209.14635 (2022)
[i7]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum. CoRR abs/2209.14743 (2022)
[i6]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. CoRR abs/2211.00313 (2022)
[i5]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-set Multi-source Model Adaptation for Semantic Segmentation. CoRR abs/2212.02785 (2022)
[i4]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images. CoRR abs/2212.09276 (2022)
[i3]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling. CoRR abs/2212.09281 (2022)
2021
[j13]
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Ren Togo, Megumi Kotera, Takahiro Ogawa, Miki Haseyama:
Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models. IEEE Access 9: 64860-64870 (2021)
[j12]
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior. IEEE Access 9: 110880-110888 (2021)
[j11]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(6): 866-875 (2021)
[j10]
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Ren Togo, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. Sensors 21(6): 2088 (2021)
[c49]
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Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose Estimation. GCCE 2021: 9-10
[c48]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Estimating Imagined Images from Brain Activities via Visual Question Answering. GCCE 2021: 35-36
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Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Sports Action Detection Based on Self-Supervised Feature Learning and Object Detection. GCCE 2021: 54-55
[c46]
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Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multi-class Similar Scene Retrieval in Soccer Videos: A Scene Confusion Reduction Method Based on Combination of Long and Short Frame Sequences. GCCE 2021: 117-118
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Detection of Off-screen Sound Based on Loss Function of Self-supervised Audio-visual Spatialization. GCCE 2021: 193-194
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement Learning. GCCE 2021: 202-203
[c43]
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. GCCE 2021: 661-662
[c42]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations. GCCE 2021: 787-788
[c41]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. ICASSP 2021: 2150-2154
[c40]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization. ICCE-TW 2021: 1-2
[c39]
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph Exploration. ICCE-TW 2021: 1-2
[c38]
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Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. ICIP 2021: 2433-2437
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. ICIP 2021: 2473-2477
[c36]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Question Answering from Brain Activity Data via Decoder Based on Neural Networks. LifeTech 2021: 51-52
[c35]
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Music Playlist Generation Based on Graph Exploration Using Reinforcement Learning. LifeTech 2021: 53-54
[c34]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
IR Questioner: QA-based Interactive Retrieval System. ICMR 2021: 611-614
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Database-adaptive Re-ranking for Enhancing Cross-modal Image Retrieval. ACM Multimedia 2021: 3816-3825
[i2]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Soft-Label Anonymous Gastric X-ray Image Distillation. CoRR abs/2104.02857 (2021)
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images. CoRR abs/2104.02864 (2021)
2020
[j9]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces. IEEE Access 8: 96777-96786 (2020)
[j8]
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Ren Togo, Haruna Watanabe, Takahiro Ogawa, Miki Haseyama:
Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination. Comput. Biol. Medicine 123: 103903 (2020)
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training. Medical Biol. Eng. Comput. 58(6): 1239-1250 (2020)
[c32]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering. GCCE 2020: 667-669
[c31]
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Face Synthesis via User Manipulation of Disentangled Latent Representation. GCCE 2020: 692-693
[c30]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Question Answering for Estimation of Seen Image Contents from Multi-subject fMRI Responses. GCCE 2020: 712-713
[c29]
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map. GCCE 2020: 942-943
[c28]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. ICASSP 2020: 2263-2267
[c27]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Image Retrieval with Data Augmentation of Sentence Labels Based on Paraphrasing. ICCE-TW 2020: 1-2
[c26]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Estimation Of Visual Contents Based On Question Answering From Human Brain Activity. ICIP 2020: 61-65
[c25]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Soft-Label Anonymous Gastric X-Ray Image Distillation. ICIP 2020: 305-309
[c24]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. ICIP 2020: 2426-2430
[c23]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models. ICIP 2020: 2431-2435
[c22]
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Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Image-to-Image Translation for Generation of Gastritis Images. ICIP 2020: 2466-2470
[c21]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space. ICIP 2020: 2521-2525
[c20]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Estimating Viewed Images with Natural Language Question Answering from fMRI Data. LifeTech 2020: 99-100
[c19]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interactive re-ranking for cross-modal retrieval based on object-wise question answering. MMAsia 2020: 37:1-37:7

2010 – 2019

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2019
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Ren Togo, Takahiro Ogawa, Miki Haseyama:
Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN. IEEE Access 7: 87448-87457 (2019)
[j5]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network. IEEE Access 7: 153183-153193 (2019)
[j4]
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Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model. IEEE Access 7: 162395-162404 (2019)
[j3]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance. IEEE Access 7: 169920-169930 (2019)
[j2]
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Ren Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino, Keiichi Magota, Takahiro Ogawa, Miki Haseyama, Tohru Shiga:
Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps. Comput. Biol. Medicine 104: 81-86 (2019)
[c18]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities. GCCE 2019: 13-14
[c17]
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Effectiveness Evaluation of Deep Features for Image Reconstruction from fMRI Signals. GCCE 2019: 479-480
[c16]
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  - conf/gcce/KoteraTOH19
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Megumi Kotera, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Aesthetic Style Transfer through Text-to-image Synthesis and Image-to-image Translation. GCCE 2019: 483-484
[c15]
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An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Detection of Distress Region from Subway Tunnel Images via U-net-based Deep Semantic Segmentation. GCCE 2019: 766-767
[c14]
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Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Estimation of Drilling Energy from Tunnel Cutting Face Image Based on Online Learning. GCCE 2019: 768-769
[c13]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Voice-Input Multimedia Information Retrieval System Based on Text-to-image GAN. GCCE 2019: 943-944
[c12]
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  - conf/icip/KanaiTOH19
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Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network. ICIP 2019: 1371-1375
[c11]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Scene Retrieval for Video Summarization Based on Text-to-Image gan. ICIP 2019: 1825-1829
[c10]
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Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network. ISCAS 2019: 1-5
[c9]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. ISCAS 2019: 1-5
[c8]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-Image GAN. ISCAS 2019: 1-5
[c7]
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Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Fine-tuning of Pre-trained DCNN for Gastritis Detection from Gastric X-ray Images. LifeTech 2019: 196-197
[c6]
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Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Bone Metastatic Tumor Detection based on AnoGAN Using CT Images. LifeTech 2019: 235-236
[c5]
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Ren Togo, Takahiro Ogawa, Osamu Manabe, Kenji Hirata, Tohru Shiga, Miki Haseyama:
Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images. LifeTech 2019: 237-238
[c4]
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning. LifeTech 2019: 273-274
2018
[c3]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Image Retrieval from Vague Description Based on AttnGAN. GCCE 2018: 198-199
[c2]
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Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Anonymous Gastritis Image Generation via Adversarial Learning from Gastric X-Ray Images. ICIP 2018: 2082-2086
2017
[c1]
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  - conf/gcce/KanaiTOH17
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Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Aesthetic quality assessment of images via Supervised Locality Preserving CCA. GCCE 2017: 1-2
2016
[j1]
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  - journals/cbm/TogoIOH16
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Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Estimation of salient regions related to chronic gastritis using gastric X-ray images. Comput. Biol. Medicine 77: 9-15 (2016)

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