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2020 – today

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2024
[j176]
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  - journals/access/OnoderaM0H24
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Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. IEEE Access 12: 23626-23635 (2024)
[j175]
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  - journals/access/MaedaMSOH24
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Keisuke Maeda, Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. IEEE Access 12: 127244-127258 (2024)
[j174]
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  - journals/cacie/MorotoMOH24
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. Comput. Aided Civ. Infrastructure Eng. 39(19): 2935-2950 (2024)
[j173]
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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)
[j172]
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  - journals/ijmir/ZhangYTOH24
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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)
[j171]
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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)
[j170]
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  - journals/jrm/WatanabeOMOH24
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Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. J. Robotics Mechatronics 36(2): 353-364 (2024)
[j169]
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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)
[j168]
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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)
[j167]
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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)
[j166]
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  - journals/sensors/SeinoSOAH24
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Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. Sensors 24(10): 3033 (2024)
[j165]
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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)
[j164]
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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)
[j163]
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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)
[c349]
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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
[c348]
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  - conf/gcce/Uesugi0M0H24
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Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. GCCE 2024: 6-7
[c347]
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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
[c346]
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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
[c345]
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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
[c344]
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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
[c343]
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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
[c342]
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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
[c341]
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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
[c340]
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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
[c339]
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  - conf/gcce/Takahashi0M0H24
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Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. GCCE 2024: 1167-1168
[c338]
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  - conf/gcce/LiuKM0H24
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Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-shot Controllable Music Generation from Videos Using Facial Expressions. GCCE 2024: 1169-1170
[c337]
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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
[c336]
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  - conf/icassp/Seino00AH24
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Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. ICASSP 2024: 1796-1800
[c335]
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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
[c334]
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  - conf/icassp/FengM0H24
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Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. ICASSP 2024: 3500-3504
[c333]
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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
[c332]
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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
[c331]
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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
[c330]
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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
[c329]
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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
[c328]
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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
[c327]
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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
[c326]
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  - conf/mmsports/GokaMM0H24
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Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. MMSports@MM 2024: 75-79
[c325]
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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
[c324]
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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
[i27]
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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)
[i26]
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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)
[i25]
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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)
[i24]
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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)
[i23]
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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)
[i22]
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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)
[i21]
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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)
[i20]
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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)
[i19]
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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)
[i18]
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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)
[i17]
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  - journals/corr/abs-2410-16698
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. CoRR abs/2410.16698 (2024)
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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)
2023
[j162]
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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)
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
SpectralMAP: Approximating Data Manifold With Spectral Decomposition. IEEE Access 11: 31530-31540 (2023)
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Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration. IEEE Access 11: 35447-35456 (2023)
[j159]
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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)
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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)
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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)
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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)
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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)
[j154]
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Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics 35(5): 1321-1330 (2023)
[j153]
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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)
[j152]
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Takaaki Higashi, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. Sensors 23(3): 1657 (2023)
[j151]
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Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations. Sensors 23(9): 4506 (2023)
[j150]
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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)
[j149]
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Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. Sensors 23(10): 4798 (2023)
[j148]
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Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors 23(15): 6903 (2023)
[j147]
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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)
[j146]
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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)
[c323]
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Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. GCCE 2023: 243-244
[c322]
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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
[c321]
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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
[c320]
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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
[c319]
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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
[c318]
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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
[c317]
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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
[c316]
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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
[c315]
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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
[c314]
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Class-Aware Shared Gaussian Process Dynamic Model. ICASSP 2023: 1-5
[c313]
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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
[c312]
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. ICASSP 2023: 1-5
[c311]
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Binauralization Robust To Camera Rotation Using 360° Videos. ICASSP 2023: 1-5
[c310]
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Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. ICASSP 2023: 1-5
[c309]
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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
[c308]
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  - conf/icce-tw/KuniedaTNSWHMOKH23
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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
[c307]
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Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions. ICCE-Taiwan 2023: 449-450
[c306]
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Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features. ICCE-Taiwan 2023: 793-794
[c305]
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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
[c304]
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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
[c303]
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Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. ICCE-Taiwan 2023: 813-814
[c302]
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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
[c301]
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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
[c300]
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He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. ICIP 2023: 2140-2144
[c299]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. ICIP 2023: 2925-2929
[c298]
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. ICIP 2023: 3125-3129
[c297]
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gromov-Wasserstein Autoencoders. ICLR 2023
[c296]
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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
[i15]
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  - journals/corr/abs-2303-04388
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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)
[i14]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information. CoRR abs/2307.02799 (2023)
2022
[j145]
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. IEEE Access 10: 12503-12509 (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)
[j143]
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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)
[j142]
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Chain centre loss: A psychology inspired loss function for image sentiment analysis. Neurocomputing 495: 118-128 (2022)
[j141]
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Kazuma Ohtomo, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi:
User-centric multimodal feature extraction for personalized retrieval of tumblr posts. Multim. Tools Appl. 81(2): 2979-3003 (2022)
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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)
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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)
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. Sensors 22(1): 382 (2022)
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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)
[j136]
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. Sensors 22(7): 2465 (2022)
[j135]
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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)
[j134]
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Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. Sensors 22(14): 5431 (2022)
[j133]
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Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model. Sensors 22(16): 6148 (2022)
[j132]
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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)
[j131]
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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
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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
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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
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Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Refinement of Gaze-based Image Caption for Image Retrieval. GCCE 2022: 272-273
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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
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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
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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
[c288]
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Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations. GCCE 2022: 406-407
[c287]
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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
[c286]
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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
[c285]
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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
[c284]
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Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE 2022: 891-892
[c283]
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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
[c282]
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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
[c281]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. ICASSP 2022: 3458-3462
[c280]
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Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP 2022: 3908-3912
[c279]
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. ICASSP 2022: 4643-4647
[c278]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. ICASSP 2022: 4683-4687
[c277]
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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
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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
[c275]
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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
[c274]
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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
[c273]
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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
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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
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Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. ICIP 2022: 2021-2025
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Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. ICIP 2022: 3798-3802
[c269]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. ICIP 2022: 3823-3827
[c268]
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Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Image Retrieval with Gaze-Based Image Captioning. ICIP 2022: 3828-3832
[c267]
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Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. ICIP 2022: 3838-3842
[c266]
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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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Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction. MMAsia 2022: 6:1-6:7
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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
[c261]
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Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. MMAsia 2022: 30:1-30:5
[c260]
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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
[c259]
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. ECML/PKDD (5) 2022: 157-173
[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)
[i10]
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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)
[i8]
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  - journals/corr/abs-2209-14635
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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)
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  - journals/corr/abs-2209-14743
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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)
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  - journals/corr/abs-2211-00313
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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)
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  - journals/corr/abs-2212-02785
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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)
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  - journals/corr/abs-2212-09276
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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)
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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
[j129]
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Masanao Matsumoto, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. IEEE Access 9: 21810-21822 (2021)
[j128]
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data. IEEE Access 9: 26593-26606 (2021)
[j127]
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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)
[j126]
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. IEEE Access 9: 65234-65245 (2021)
[j125]
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. IEEE Access 9: 84971-84981 (2021)
[j124]
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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)
[j123]
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation. IEEE Access 9: 163843-163850 (2021)
[j122]
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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)
[j121]
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  - journals/jimaging/MaedaOOH21
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Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama:
Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. J. Imaging 7(12): 273 (2021)
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. Multim. Tools Appl. 80(15): 23091-23112 (2021)
[j119]
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  - journals/sensors/HirasawaMOH21
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. Sensors 21(6): 2045 (2021)
[j118]
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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)
[c258]
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  - conf/gcce/OnoderaMOH21
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Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. GCCE 2021: 5-6
[c257]
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  - conf/gcce/OhagaTOH21
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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
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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
[c255]
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. GCCE 2021: 43-44
[c254]
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  - conf/gcce/MasudaTOH21
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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
[c253]
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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
[c252]
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Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features. GCCE 2021: 191-192
[c251]
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  - conf/gcce/YoshidaTOH21
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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
[c250]
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  - conf/gcce/WatanabeMOH21
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. GCCE 2021: 195-196
[c249]
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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
[c248]
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. GCCE 2021: 204-205
[c247]
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Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features. GCCE 2021: 273-274
[c246]
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  - conf/gcce/WatanabeTMOH21
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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
[c245]
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  - conf/gcce/ZhangMOH21
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Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network. GCCE 2021: 785-786
[c244]
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  - conf/gcce/LiTOH21
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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
[c243]
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  - conf/icassp/SawataOH21
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA. ICASSP 2021: 1320-1324
[c242]
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Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model. ICASSP 2021: 1335-1339
[c241]
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Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. ICASSP 2021: 1360-1364
[c240]
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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
[c239]
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Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. ICASSP 2021: 3985-3989
[c238]
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  - conf/icassp/KamikawaMOH21
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. ICASSP 2021: 4130-4134
[c237]
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. ICASSP 2021: 4150-4154
[c236]
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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
[c235]
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. ICCE-TW 2021: 1-2
[c234]
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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
[c233]
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. ICIP 2021: 1014-1018
[c232]
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. ICIP 2021: 1039-1043
[c231]
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. ICIP 2021: 1209-1213
[c230]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. ICIP 2021: 1469-1473
[c229]
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Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. ICIP 2021: 2433-2437
[c228]
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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
[c227]
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. ICIP 2021: 2678-2682
[c226]
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. ICIP 2021: 2688-2692
[c225]
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  - conf/lifetech/TakadaTOH21
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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
[c224]
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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
[c223]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. LifeTech 2021: 67-68
[c222]
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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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  - journals/corr/abs-2104-02857
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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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  - journals/corr/abs-2104-02864
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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
[j117]
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Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists. IEEE Access 8: 48673-48685 (2020)
[j116]
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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)
[j115]
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Keisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration. IEEE Access 8: 114340-114353 (2020)
[j114]
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Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. IEEE Access 8: 126109-126118 (2020)
[j113]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. IEEE Access 8: 203358-203368 (2020)
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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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Soh Yoshida, Mitsuji Muneyasu, Takahiro Ogawa, Miki Haseyama:
Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1529-1540 (2020)
[j110]
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Takahiro Ogawa, Keisuke Maeda, Miki Haseyama:
Inpainting via Sparse Representation Based on a Phaseless Quality Metric. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1541-1551 (2020)
[j109]
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Keisuke Maeda, Kazaha Horii, Takahiro Ogawa, Miki Haseyama:
Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1609-1612 (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)
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Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-centered image classification via a neural network considering visual and biological features. Multim. Tools Appl. 79(7-8): 4395-4415 (2020)
[j106]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion. Sensors 20(7): 2146 (2020)
[j105]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention. Sensors 20(8): 2170 (2020)
[j104]
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model. IEEE Trans. Signal Process. 68: 5769-5781 (2020)
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. GCCE 2020: 636-637
[c219]
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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
[c218]
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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
[c217]
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  - conf/gcce/TakadaTOH20
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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
[c216]
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. GCCE 2020: 714-715
[c215]
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Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Viewed Images Using Individual and Shared Brain Responses. GCCE 2020: 716-717
[c214]
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  - conf/gcce/MorotoMOH20
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. GCCE 2020: 745-746
[c213]
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. GCCE 2020: 940-941
[c212]
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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
[c211]
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters. GCCE 2020: 944-945
[c210]
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. ICASSP 2020: 1215-1219
[c209]
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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
[c208]
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  - conf/icce-tw/HirasawaM0H20
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. ICCE-TW 2020: 1-2
[c207]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Person-Specific Visual Attention via Selection of Similar Persons. ICCE-TW 2020: 1-2
[c206]
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  - conf/icce-tw/SuzukiTOH20
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Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
An Estimation Method of Candidate Region for Superimposing Information Based on Gaze Tracking Data in Soccer Videos. ICCE-TW 2020: 1-2
[c205]
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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
[c204]
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  - conf/icip/MaedaTOH20
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. ICIP 2020: 46-50
[c203]
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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
[c202]
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Soft-Label Anonymous Gastric X-Ray Image Distillation. ICIP 2020: 305-309
[c201]
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. ICIP 2020: 1236-1240
[c200]
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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
[c199]
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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
[c198]
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Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Image-to-Image Translation for Generation of Gastritis Images. ICIP 2020: 2466-2470
[c197]
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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
[c196]
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  - conf/icmcs/HirasawaMOH20
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops 2020: 1-6
[c195]
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  - conf/lifetech/Matsumoto0OH20
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Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA. LifeTech 2020: 3-4
[c194]
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. LifeTech 2020: 97-98
[c193]
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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
[c192]
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Genki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge. LifeTech 2020: 111-112
[c191]
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  - conf/mmasia/HaruyamaTOH20
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Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTM. MMAsia 2020: 27:1-27:8
[c190]
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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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What is the meaning of the colors in the publication lists?

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)
[j102]
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Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network. IEEE Access 7: 104155-104167 (2019)
[j101]
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Ryosuke Harakawa, Shoji Takimura, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi:
Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation. IEEE Access 7: 116207-116217 (2019)
[j100]
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  - journals/access/KushimaTOH19
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Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User's Behavior and Videos. IEEE Access 7: 148576-148585 (2019)
[j99]
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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)
[j98]
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Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics. IEEE Access 7: 153238-153248 (2019)
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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)
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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)
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. Comput. Aided Civ. Infrastructure Eng. 34(8): 654-676 (2019)
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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)
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification. IEEE Trans. Affect. Comput. 10(3): 430-444 (2019)
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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
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
The Extraction of Individual Music Preference Based on Deep Time-series CCA. GCCE 2019: 15-16
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model. GCCE 2019: 127-128
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Yutaka Yamada, Takahiro Ogawa, Miki Haseyama:
Performance Prediction Method of Examinees Based on Matrix Completion. GCCE 2019: 229-230
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users. GCCE 2019: 477-478
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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
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Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features. GCCE 2019: 481-482
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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
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Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
A Method for Predicting Importance of Attack Players Based on Multiple Gaze Tracking Data in Soccer Videos. GCCE 2019: 511-512
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Sho Takahashi, Marco Bertini, Alberto Del Bimbo, Miki Haseyama, Toru Hagiwara:
Similarity Calculation Based on Pass Regions in Soccer Videos. GCCE 2019: 515-516
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE 2019: 663-664
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Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Multimodal Retrieval of Similar Soccer Videos Based on Optimal Combination of Multiple Distance Measures. GCCE 2019: 665-666
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. GCCE 2019: 764-765
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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
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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
[c174]
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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
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis. ICASSP 2019: 1105-1109
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. ICASSP 2019: 3936-3940
[c171]
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Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos. ICCE-TW 2019: 1-2
[c170]
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Yui Matsumoto, Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement. ICCE-TW 2019: 1-2
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images. ICCE-TW 2019: 1-2
[c168]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. ICIP 2019: 919-923
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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
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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
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. ICIP 2019: 4105-4109
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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
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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
[c162]
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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
[c161]
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Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features. LifeTech 2019: 194-195
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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
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Akira Toyoda, Takahiro Ogawa, Miki Haseyama:
Video Classification Based on User Preferences with soft-bag Multiple Instance Learning. LifeTech 2019: 198-199
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features. LifeTech 2019: 229-230
[c157]
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Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models. LifeTech 2019: 231-232
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data. LifeTech 2019: 233-234
[c155]
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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
[c154]
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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
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Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of users' interest levels using tensor completion with SemiCCA. LifeTech 2019: 239-240
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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
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Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Retrieval of Similar Scenes Based on Multimodal Distance Metric Learning in Soccer Videos. MMSports@MM 2019: 10-15
2018
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Shota Hamano, Takahiro Ogawa, Miki Haseyama:
A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy. IEEE Access 6: 2930-2942 (2018)
[j91]
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Yuma Sasaka, Takahiro Ogawa, Miki Haseyama:
A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection. IEEE Access 6: 8340-8350 (2018)
[j90]
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Kento Sugata, Takahiro Ogawa, Miki Haseyama:
Selection of Significant Brain Regions Based on MvGTDA and TS-DLF for Emotion Estimation. IEEE Access 6: 32481-32492 (2018)
[j89]
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Takahiro Ogawa, Yuma Sasaka, Keisuke Maeda, Miki Haseyama:
Favorite Video Classification Based on Multimodal Bidirectional LSTM. IEEE Access 6: 61401-61409 (2018)
[j88]
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Akira Toyoda, Takahiro Ogawa, Miki Haseyama:
Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA. IEEE Access 6: 63833-63842 (2018)
[j87]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. Adv. Eng. Informatics 37: 79-87 (2018)
[j86]
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Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Accurate Estimation of Personalized Video Preference Using Multiple Users' Viewing Behavior. IEICE Trans. Inf. Syst. 101-D(2): 481-490 (2018)
[j85]
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Soh Yoshida, Takahiro Ogawa, Miki Haseyama, Mitsuji Muneyasu:
Graph-Based Video Search Reranking with Local and Global Consistency Analysis. IEICE Trans. Inf. Syst. 101-D(5): 1430-1440 (2018)
[j84]
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Megumi Takezawa, Hirofumi Sanada, Takahiro Ogawa, Miki Haseyama:
Estimating the Quality of Fractal Compressed Images Using Lacunarity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(6): 900-903 (2018)
[j83]
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Takahiro Ogawa, Sho Takahashi, Naofumi Wada, Akira Tanaka, Miki Haseyama:
Binary Sparse Representation Based on Arbitrary Quality Metrics and Its Applications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1776-1785 (2018)
[j82]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. IEEE J. Sel. Top. Signal Process. 12(4): 633-644 (2018)
[j81]
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Ryosuke Harakawa, Daichi Takehara, Takahiro Ogawa, Miki Haseyama:
Sentiment-aware personalized tweet recommendation through multimodal FFM. Multim. Tools Appl. 77(14): 18741-18759 (2018)
[j80]
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Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery. Multim. Tools Appl. 77(16): 20297-20324 (2018)
[c150]
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data. GCCE 2018: 73-74
[c149]
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Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Team Tactics Estimation in Soccer Videos via Deep Extreme Learning Machine Based on Players Formation. GCCE 2018: 116-117
[c148]
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Ken Kawakami, Takahiro Ogawa, Miki Haseyama:
Blood Circulation Based on PPG Signals for Thermal Comfort Evaluation. GCCE 2018: 194-195
[c147]
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Ken Kawakami, Takahiro Ogawa, Miki Haseyama:
Detection of Deformed PPG Waveforms Based on a Ratio of Their Average Accelerations. GCCE 2018: 196-197
[c146]
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Image Retrieval from Vague Description Based on AttnGAN. GCCE 2018: 198-199
[c145]
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Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Missing Image Data Estimation via Iterative Convolutional Sparse Coding. GCCE 2018: 200-201
[c144]
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Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimation of Viewed Image Categories via CCA Using Human Brain Activity. GCCE 2018: 202-203
[c143]
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Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations. GCCE 2018: 204-205
[c142]
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Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features. GCCE 2018: 710-711
[c141]
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Akira Toyoda, Takahiro Ogawa, Miki Haseyama:
Semi-Supervised Multiple Feature Fusion for Video Preference Estimation. ICASSP 2018: 891-895
[c140]
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Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Sfemcca: Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis for Video Preference Estimation. ICASSP 2018: 3086-3090
[c139]
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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
[c138]
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Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. ICIP 2018: 2366-2370
[c137]
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Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation of Items via Matrix Completion Based on Adaptive User Matrix Construction. ICME 2018: 1-6
[c136]
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Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Simultaneous Realization of Multiple Music Video Applications Based on Heterogeneous Network Analysis Via Latent Link Estimation. ICME 2018: 1-6
[c135]
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Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results. ICMR 2018: 493-496
2017
[j79]
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Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network Analysis. IEEE Access 5: 16963-16973 (2017)
[j78]
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Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Helicobacter Pylori infection detection from gastric X-ray images based on feature fusion and decision fusion. Comput. Biol. Medicine 84: 69-78 (2017)
[j77]
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Takahiro Ogawa, Yoshiaki Yamaguchi, Satoshi Asamizu, Miki Haseyama:
Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction. IEICE Trans. Inf. Syst. 100-D(2): 409-412 (2017)
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Miki Haseyama, Takahiro Ogawa, Sho Takahashi, Shuhei Nomura, Masatsugu Shimomura:
Biomimetics Image Retrieval Platform. IEICE Trans. Inf. Syst. 100-D(8): 1563-1573 (2017)
[j75]
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Kohei Tateno, Takahiro Ogawa, Miki Haseyama:
Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis. IEICE Trans. Inf. Syst. 100-D(9): 2005-2016 (2017)
[j74]
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Takahiro Ogawa, Akira Tanaka, Miki Haseyama:
Wiener-Based Inpainting Quality Prediction. IEICE Trans. Inf. Syst. 100-D(10): 2614-2626 (2017)
[j73]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. J. Comput. Civ. Eng. 31(5) (2017)
[j72]
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Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata. Multim. Tools Appl. 76(19): 20249-20272 (2017)
[c134]
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Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Image classification for trend prediction based on integration of fNIRS and visual features. GCCE 2017: 1-2
[c133]
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Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Preference estimation for video recommendation using DCNN features and viewing behavior. GCCE 2017: 1-2
[c132]
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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
[c131]
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Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest level estimation based on matrix completion via rank minimization. GCCE 2017: 1-2
[c130]
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Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Construction of network using heterogeneous social metadata for music video recommendation. GCCE 2017: 1-2
[c129]
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Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Personalized tweet recommendation based on field-aware factorization machines with adaptive field organization. GCCE 2017: 1-2
[c128]
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Akira Toyoda, Takahiro Ogawa, Miki Haseyama:
Video preference estimation using fNIRS signals. GCCE 2017: 1-2
[c127]
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Kento Sugata, Takahiro Ogawa, Miki Haseyama:
Emotion estimation via tensor-based supervised decision-level fusion from multiple Brodmann areas. ICASSP 2017: 999-1003
[c126]
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Takahiro Ogawa, Miki Haseyama:
Exemplar-based image completion via new quality measure based on phaseless texture features. ICASSP 2017: 1827-1831
[c125]
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Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Personalized video preference estimation based on early fusion using multiple users' viewing behavior. ICASSP 2017: 3006-3010
[c124]
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Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. ICIP 2017: 435-439
[c123]
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Akira Toyoda, Takahiro Ogawa, Miki Haseyama:
MvLFDA-based video preference estimation using complementary properties of features. ICIP 2017: 635-639
[c122]
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Shota Hamano, Takahiro Ogawa, Miki Haseyama:
Tag refinement based on multilingual tag hierarchies extracted from image folksonomy. ICIP 2017: 1327-1331
[c121]
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Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network. ICIP 2017: 2055-2059
[c120]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. ICIP 2017: 2379-2383
[c119]
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Susumu Gerund, Takahiro Ogawa, Miki Haseyama:
Image retrieval based on LRGA algorithm and relevance feedback for insect identification. ICIP 2017: 3978-3982
2016
[j71]
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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)
[j70]
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Yasutaka Hatakeyama, Takahiro Ogawa, Hironori Ikeda, Miki Haseyama:
A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA. IEICE Trans. Inf. Syst. 99-D(3): 763-768 (2016)
[j69]
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Takahiro Ogawa, Akihiro Takahashi, Miki Haseyama:
Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 1971-1980 (2016)
[j68]
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Kotoku Omura, Shoichiro Yamasaki, Tomoko K. Matsushima, Hirokazu Tanaka, Miki Haseyama:
Performance Improvement of Error-Resilient 3D DWT Video Transmission Using Invertible Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(12): 2256-2265 (2016)
[j67]
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Zaixing He, Takahiro Ogawa, Sho Takahashi, Miki Haseyama, Xinyue Zhao:
Improvement of video coding efficiency based on sparse contractive mapping approach. Neurocomputing 173: 1898-1907 (2016)
[j66]
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Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
A Web video retrieval method using hierarchical structure of Web video groups. Multim. Tools Appl. 75(24): 17059-17079 (2016)
[j65]
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Takahiro Ogawa, Yuta Igarashi, Miki Haseyama:
NMF-Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components. IEEE Trans. Circuits Syst. Video Technol. 26(5): 855-867 (2016)
[j64]
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Takahiro Ogawa, Miki Haseyama:
Adaptive Subspace-Based Inverse Projections via Division Into Multiple Sub-Problems for Missing Image Data Restoration. IEEE Trans. Image Process. 25(12): 5971-5986 (2016)
[c118]
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Susumu Genma, Takahiro Ogawa, Miki Haseyama:
Image retrieval for identification of insects based on saliency map and distance metric learning. GCCE 2016: 1-2
[c117]
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Shota Hamano, Takahiro Ogawa, Miki Haseyama:
Different language association using mutual information between tags and visual features. GCCE 2016: 1-2
[c116]
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Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Novel video feature-based favorite video estimation using users' viewing behavior and evaluation. GCCE 2016: 1-2
[c115]
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Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A tourism category classification method based on estimation of reliable decision. GCCE 2016: 1-2
[c114]
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Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Retrieval of similar inspection records based on metric learning using experienced inspectors' evaluation. GCCE 2016: 1-2
[c113]
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Kento Sugata, Takahiro Ogawa, Miki Haseyama:
Estimating human emotion evoked by visual stimuli using fMRI data. GCCE 2016: 1-2
[c112]
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Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Decision level fusion-based team tactics estimation in soccer videos. GCCE 2016: 1-2
[c111]
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Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation. GlobalSIP 2016: 1238-1242
[c110]
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA. ICASSP 2016: 759-763
[c109]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of road structures via decision level fusion. DSP 2016: 589-593
[c108]
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Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Hierarchical content group detection from different social media platforms using Web link structure. ICIP 2016: 479-483
[c107]
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Soh Yoshida, Takahiro Ogawa, Miki Haseyama:
Graph-based web video search reranking through consistency analysis using spectral clustering. ICME 2016: 1-6
[c106]
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Yasutaka Hatakeyama, Takahiro Ogawa, Hirokazu Tanaka, Miki Haseyama:
An accurate mortality prediction method based on decision-level fusion of existing ICU scoring systems. ISITA 2016: 126-130
[c105]
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Shigenobu Minami, Miki Haseyama, Hirokazu Tanaka, Toru Takahashi, Tatsuya Komori:
A virtual vital signs sensor "MIRUWS" for visualization of healthy to illness transition (HIT). ISMICT 2016: 1-5
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Miki Haseyama:
Realization of Associative Image Search: Development of Image Retrieval Platform for Enhancing Serendipity. ISMVL 2016: 56-59
[c103]
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Yuma Sasaka, Takahiro Ogawa, Miki Haseyama:
Multimodal Interest Level Estimation via Variational Bayesian Mixture of Robust CCA. ACM Multimedia 2016: 387-391
2015
[j63]
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Takahiro Ogawa, Miki Haseyama:
Perceptually Optimized Missing Texture Reconstruction via Neighboring Embedding. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(8): 1709-1717 (2015)
[j62]
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Alameen Najjar, Takahiro Ogawa, Miki Haseyama:
Bregman pooling: feature-space local pooling for image classification. Int. J. Multim. Inf. Retr. 4(4): 247-259 (2015)
[j61]
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Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. Inf. Media Technol. 10(3): 473-477 (2015)
[j60]
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Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. IPSJ Trans. Comput. Vis. Appl. 7: 79-83 (2015)
[c102]
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Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Helicobacter pylori infection detection from gastric X-ray images using KLFDA-based decision fusion. GCCE 2015: 204-205
[c101]
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Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama:
LDA-based music recommendation with CF-based similar user selection. GCCE 2015: 215-216
[c100]
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Yuma Tanaka, Takahiro Ogawa, Miki Haseyama:
Missing texture reconstruction via power spectrum-based sparse representation. GCCE 2015: 221-222
[c99]
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Yuma Sasaka, Takahiro Ogawa, Miki Haseyama:
Video genre estimation from relationship between motion and facial features using SLPCCA. GCCE 2015: 250-251
[c98]
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Kouhei Tateno, Takahiro Ogawa, Miki Haseyama:
Web image visualization considering image content based on visual and tag features. GCCE 2015: 254-255
[c97]
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Kento Sugata, Takahiro Ogawa, Miki Haseyama:
Image classification based on integration of EEG and visual features Via LFDA-MSLPCCA. GCCE 2015: 513-514
[c96]
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Takuya Kawakami, Takahiro Ogawa, Miki Haseyama:
Novel image classification based on integration of EEG and visual features via MSLPCCA. ICASSP 2015: 957-961
[c95]
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Takahiro Ogawa, Miki Haseyama:
Missing intensity restoration via adaptive selection of perceptually optimized subspaces. ICASSP 2015: 1628-1632
[c94]
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Yuma Tanaka, Takahiro Ogawa, Miki Haseyama:
Algorithm for sparse representation minimizing mean square error of power spectrograms. DSP 2015: 618-622
[c93]
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference. DSP 2015: 818-822
[c92]
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Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval. ICIP 2015: 1021-1025
[c91]
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Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. ICIP 2015: 2246-2250
[c90]
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Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Helicobacter pylori infection detection from multiple x-ray images based on combination use of support vector machine and multiple kernel learning. ICIP 2015: 4728-4732
[c89]
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Soh Yoshida, Takahiro Ogawa, Miki Haseyama:
Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network. ACM Multimedia 2015: 871-874
2014
[j59]
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Takahiro Ogawa, Shintaro Takahashi, Sho Takahashi, Miki Haseyama:
A new method for error degree estimation in numerical weather prediction via MKDA-based ordinal regression. EURASIP J. Adv. Signal Process. 2014: 115 (2014)
[j58]
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Kazuya Iwai, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Player Tracking in Far-View Soccer Videos Based on Composite Energy Function. IEICE Trans. Inf. Syst. 97-D(7): 1885-1892 (2014)
[j57]
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Zaixing He, Xinyue Zhao, Shuyou Zhang, Takahiro Ogawa, Miki Haseyama:
Random combination for information extraction in compressed sensing and sparse representation-based pattern recognition. Neurocomputing 145: 160-173 (2014)
[j56]
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Takahiro Ogawa, Miki Haseyama:
Adaptive missing texture reconstruction method based on kernel cross-modal factor analysis with a new evaluation criterion. Signal Process. 103: 69-83 (2014)
[j55]
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Marie Katsurai, Takahiro Ogawa, Miki Haseyama:
A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images. IEEE Trans. Multim. 16(4): 1059-1074 (2014)
[c88]
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Yuma Tanaka, Takahiro Ogawa, Miki Haseyama:
Missing audio segment reconstruction based on sparse representation with power spectrogram. GCCE 2014: 86-87
[c87]
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Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama:
Popular music estimation based on topic model using time information and audio features. GCCE 2014: 102-103
[c86]
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Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Bayesian network-based distress estimation using image features in road structure assessment. GCCE 2014: 169-170
[c85]
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Kouhei Tateno, Takahiro Ogawa, Miki Haseyama:
Effective multiple feature fusion using topic model for social image visualization. GCCE 2014: 182-183
[c84]
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Takahiro Ogawa, Miki Haseyama:
Missing intensity restoration via perceptually optimized subspace projection based on entropy component analysis. ICASSP 2014: 175-179
[c83]
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Takuya Kawakami, Takahiro Ogawa, Miki Haseyama:
Novel image classification based on decision-level fusion of EEG and visual features. ICASSP 2014: 5874-5878
[c82]
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Takahiro Ogawa, Miki Haseyama:
2D semi-supervised CCA-based inpainting including new priority estimation. ICIP 2014: 1837-1841
[c81]
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Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
Helicobacter pylori infection detection from multiple X-ray images based on decision level fusion. ICIP 2014: 2769-2773
2013
[j54]
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Takahiro Ogawa, Daisuke Izumi, Akane Yoshizaki, Miki Haseyama:
Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings. EURASIP J. Adv. Signal Process. 2013: 30 (2013)
[j53]
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Takahiro Ogawa, Miki Haseyama:
Image inpainting based on sparse representations with a perceptual metric. EURASIP J. Adv. Signal Process. 2013: 179 (2013)
[j52]
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Miki Haseyama, Takahiro Ogawa:
Trial Realization of Human-Centered Multimedia Navigation for Video Retrieval. Int. J. Hum. Comput. Interact. 29(2): 96-109 (2013)
[j51]
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Takahiro Ogawa, Miki Haseyama:
Missing Texture Reconstruction Method Based on Error Reduction Algorithm Using Fourier Transform Magnitude Estimation Scheme. IEEE Trans. Image Process. 22(3): 1252-1257 (2013)
[c80]
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Takayuki Kawashima, Takahiro Ogawa, Miki Haseyama:
A rating prediction method for e-commerce application using ordinal regression based on LDA with multi-modal features. GCCE 2013: 260-261
[c79]
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Sho Takahashi, Miki Haseyama:
Adaptive parameter setting for pass region estimation in soccer videos and its performance verification. GCCE 2013: 271-272
[c78]
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Takuya Kawakami, Takahiro Ogawa, Miki Haseyama:
Vocal segment estimation in music pieces based on collaborative use of EEG and audio features. ICASSP 2013: 1197-1201
[c77]
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Marie Katsurai, Miki Haseyama:
Exploring and visualizing tag relationships in photo sharing websites based on distributional representations. ICASSP 2013: 3617-3621
[c76]
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Takahiro Ogawa, Miki Haseyama:
KCFA-based missing area restoration including new priority estimation. ICIP 2013: 704-708
[c75]
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Yuta Igarashi, Takahiro Ogawa, Miki Haseyama:
Spectral reflectance estimation from visible light components and near-infrared components. ICIP 2013: 2388-2392
[c74]
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Akihiro Takahashi, Takahiro Ogawa, Miki Haseyama:
Insect classification using Scanning Electron Microphotographs considering magnifications. ICIP 2013: 3269-3273
[c73]
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Ryosuke Harakawa, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama:
An extraction method of hierarchical Web communities for Web video retrieval. ICIP 2013: 4397-4401
[c72]
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Sho Takahashi, Miki Haseyama:
Active grid-based method for visualizing pass regions in soccer videos. ICME Workshops 2013: 1-6
[c71]
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Kotoku Omura, Shoichiro Yamasaki, Tomoko K. Matsushima, Hirokazu Tanaka, Miki Haseyama:
Error resilient 3D DWT video transmission using invertible codes. ISPACS 2013: 180-185
2012
[j50]
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Marie Katsurai, Takahiro Ogawa, Miki Haseyama:
A Novel Framework for Extracting Visual Feature-Based Keyword Relationships from an Image Database. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(5): 927-937 (2012)
[j49]
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Miki Haseyama, Daisuke Izumi, Makoto Takizawa:
Super-Resolution Reconstruction for Spatio-Temporal Resolution Enhancement of Video Sequences. IEICE Trans. Inf. Syst. 95-D(9): 2355-2358 (2012)
[j48]
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Hirokazu Tanaka, Sunmi Kim, Takahiro Ogawa, Miki Haseyama:
Performance of Spatial and Temporal Error Concealment Method for 3D DWT Video Coding in Packet Loss Channel. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(11): 2015-2022 (2012)
[c70]
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Akira Tanaka, Takahiro Ogawa, Miki Haseyama:
Image inpainting by block-based linear regression with optimal block selection. APSIPA 2012: 1-4
[c69]
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Takahiro Ogawa, Miki Haseyama:
Perceptually optimized subspace estimation for missing texture reconstruction. ICASSP 2012: 1141-1144
[c68]
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Marie Katsurai, Takahiro Ogawa, Miki Haseyama:
A cross-modal approach for extracting semantic relationships of concepts from an image database. ICASSP 2012: 2373-2376
2011
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Takahiro Ogawa, Miki Haseyama:
Adaptive Single Image Superresolution Approach Using Support Vector Data Description. EURASIP J. Adv. Signal Process. 2011 (2011)
[j46]
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Hiroyuki Ohkushi, Takahiro Ogawa, Miki Haseyama:
Music recommendation according to human motion based on kernel CCA-based relationship. EURASIP J. Adv. Signal Process. 2011: 121 (2011)
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Takahiro Ogawa, Miki Haseyama:
Adaptive example-based super-resolution using kernel PCA with a novel classification approach. EURASIP J. Adv. Signal Process. 2011: 138 (2011)
[j44]
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Zaixing He, Takahiro Ogawa, Miki Haseyama:
Cross Low-Dimension Pursuit for Sparse Signal Recovery from Incomplete Measurements Based on Permuted Block Diagonal Matrix. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(9): 1793-1803 (2011)
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Takahiro Ogawa, Miki Haseyama:
Missing Intensity Interpolation Using a Kernel PCA-Based POCS Algorithm and its Applications. IEEE Trans. Image Process. 20(2): 417-432 (2011)
[j42]
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Takahiro Ogawa, Miki Haseyama:
Missing Image Data Reconstruction Based on Adaptive Inverse Projection via Sparse Representation. IEEE Trans. Multim. 13(5): 974-992 (2011)
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Takahiro Ogawa, Miki Haseyama:
Adaptive reconstruction method of missing textures based on perceptually optimized algorithm. ICASSP 2011: 1157-1160
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Zaixing He, Takahiro Ogawa, Miki Haseyama:
Linear time decoding of real-field codes over high error rate channels. ICASSP 2011: 3172-3175
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Takahiro Ogawa, Miki Haseyama:
Adaptive KPCA-based missing texture reconstruction approach including classification scheme via difference subspaces. ICIP 2011: 1133-1136
2010
[j41]
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Takahiro Ogawa, Miki Haseyama:
Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm. EURASIP J. Adv. Signal Process. 2010 (2010)
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Sunmi Kim, Hirokazu Tanaka, Takahiro Ogawa, Miki Haseyama:
Error-Resilient 3-D Wavelet Video Coding with Duplicated Lowest Sub-Band Coefficients and Two-Step Error Concealment Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(11): 2173-2183 (2010)
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Jun Inagaki, Tomoaki Shirakawa, Tetsuo Shimono, Miki Haseyama:
A genetic algorithm for generating multiple paths on mesh maps. IEEE Congress on Evolutionary Computation 2010: 1-4
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Miki Haseyama, Daisuke Izumi, Makoto Takizawa:
Spatio-temporal resolution enhancement of video sequence based on super-resolution reconstruction. ICASSP 2010: 870-873
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Zaixing He, Takahiro Ogawa, Miki Haseyama:
The simplest measurement matrix for compressed sensing of natural images. ICIP 2010: 4301-4304
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Takahiro Ogawa, Miki Haseyama:
Adaptive reconstruction method of missing textures based on inverse projection via sparse representation. ICME 2010: 352-357

2000 – 2009

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2009
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Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama:
A Kalman Filter-Based Method for Restoration of Images Obtained by an In-Vehicle Camera in Foggy Conditions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(2): 577-584 (2009)
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Shigeki Takahashi, Takahiro Ogawa, Hirokazu Tanaka, Miki Haseyama:
Kalman Filter-Based Error Concealment for Video Transmission. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(3): 779-787 (2009)
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Makoto Yamamoto, Miki Haseyama:
An Accurate Scene Segmentation Method Based on Graph Analysis Using Object Matching and Audio Feature. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1883-1891 (2009)
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Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki Haseyama:
Estimating Number of People Using Calibrated Monocular Camera Based on Geometrical Analysis of Surface Area. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1932-1938 (2009)
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Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama:
An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1939-1949 (2009)
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Takahiro Ogawa, Miki Haseyama:
Adaptive Missing Texture Reconstruction Method Based on Kernel Canonical Correlation Analysis with a New Clustering Scheme. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1950-1960 (2009)
[j33]
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Yasutaka Hatakeyama, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A Novel Video Retrieval Method Based on Web Community Extraction Using Features of Video Materials. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1961-1969 (2009)
[j32]
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Miki Haseyama, Makoto Takizawa, Takashi Yamamoto:
Video Frame Interpolation by Image Morphing Including Fully Automatic Correspondence Setting. IEICE Trans. Inf. Syst. 92-D(10): 2163-2166 (2009)
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Hirokazu Tanaka, Kyung Woon Jang, Shoichiro Yamasaki, Miki Haseyama:
Performance of Reed-Solomon Coded MC-DS-CDMA with Bi-orthogonal Modulation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(10): 2600-2608 (2009)
[j30]
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Hirokazu Tanaka, Shoichiro Yamasaki, Miki Haseyama:
Performance of Adaptive Trellis Coded Modulation Applied to MC-CDMA with Bi-orthogonal Keying. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(11): 2837-2843 (2009)
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Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama:
An effective flowestimation method with particle filter based on Helmholtz decomposition theorem. ICASSP 2009: 949-952
[c59]
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Takahiro Ogawa, Miki Haseyama:
Adaptive reconstruction method of missing textures based on kernel canonical correlation analysis. ICASSP 2009: 1165-1168
[c58]
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Yasutaka Hatakeyama, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A Web community-based video retrieval method using canonical correlation analysis. ICIP 2009: 805-808
2008
[j29]
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Takahiro Ogawa, Miki Haseyama:
POCS-Based Annotation Method Using Kernel PCA for Semantic Image Retrieval. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(8): 1915-1923 (2008)
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Tomoki Hiramatsu, Tetsuji Ogawa, Miki Haseyama:
A Kalman filter based restoration method for in-vehicle camera images in foggy conditions. ICASSP 2008: 1245-1248
[c56]
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Tetsuji Ogawa, Miki Haseyama:
Kernel PCA-based resolution enhancement approach of still images using different levels of pyramid structure. ICASSP 2008: 1293-1296
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Takahiro Ogawa, Miki Haseyama:
Kernel PCA-based semantic feature estimation approach for similar image retrieval. ICIP 2008: 965-968
[c54]
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Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama:
An effective detection method of rotational and divergent structures in still images based on Helmholtz decomposition. ICIP 2008: 2336-2339
[c53]
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Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama:
A Kalman filter-based approach for adaptive restoration of in-vehicle camera foggy images. ICIP 2008: 3160-3163
[c52]
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Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki Haseyama:
Estimating the number of people in a video sequence via geometrical model. ICPR 2008: 1-4
2007
[j28]
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Keiko Kondo, Miki Haseyama, Hideo Kitajima:
Phase Retrieval Based on a Snake for Image Reconstruction. IEICE Trans. Inf. Syst. 90-D(1): 283-287 (2007)
[j27]
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Takahiro Ogawa, Miki Haseyama:
POCS-Based Texture Reconstruction Method Using Clustering Scheme by Kernel PCA. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(8): 1519-1527 (2007)
[j26]
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Hirofumi Kon, Miki Haseyama:
Players Clustering Based on Graph Theory for Tactics Analysis Purpose in Soccer Videos. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(8): 1528-1533 (2007)
[j25]
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Naoki Nitanda, Miki Haseyama:
Audio-Based Shot Classification for Audiovisual Indexing Using PCA, MGD and Fuzzy Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(8): 1542-1548 (2007)
[j24]
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Masao Hiramoto, Takahiro Ogawa, Miki Haseyama:
Image recognition method using intensity gradient vectors. Syst. Comput. Jpn. 38(13): 15-27 (2007)
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Takahiro Ogawa, Miki Haseyama:
Adaptive Reconstruction Method of Missing Texture Based on Projection Onto Convex Sets. ICASSP (1) 2007: 697-700
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Takahiro Ogawa, Miki Haseyama:
POCS-Based Iterative Reconstruction Algorithm of Missing Textures. ICIP (3) 2007: 101-104
2006
[j23]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
Steady-State Properties of a CORDIC-Based Adaptive ARMA Lattice Filter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(12): 3724-3729 (2006)
[j22]
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Miki Haseyama, Yukari Sasamura, Hideo Kitajima:
An extraction method for apoptotic cells from videomicroscopy images. Syst. Comput. Jpn. 37(3): 32-40 (2006)
[j21]
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Takahiro Ogawa, Miki Haseyama, Hideo Kitajima:
Restoration of missing intensity of still images by using optical flow. Syst. Comput. Jpn. 37(3): 49-57 (2006)
[j20]
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Naoki Nitanda, Miki Haseyama, Hideo Kitajima:
Audio signal segmentation and classification using fuzzy c-means clustering. Syst. Comput. Jpn. 37(4): 23-34 (2006)
[j19]
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Miki Haseyama, Daiki Matsuura:
A filter coefficient quantization method with genetic algorithm, including simulated annealing. IEEE Signal Process. Lett. 13(4): 189-192 (2006)
[c49]
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Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama, Hideo Kitajima:
An Accurate IFS-Based Image Enlargement Method using Line Process. ICIP 2006: 2701-2704
[c48]
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Jun Inagaki, J. Nakajima, Miki Haseyama:
A multiobjective service restoration method for power distribution systems. ISCAS 2006
2005
[j18]
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John Gates, Miki Haseyama, Hideo Kitajima:
A New Conic Section Extraction Approach and Its Applications. IEICE Trans. Inf. Syst. 88-D(2): 239-251 (2005)
[j17]
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Euijin Kim, Miki Haseyama, Hideo Kitajima:
The Extraction of Circles from Arcs Represented by Extended Digital Lines. IEICE Trans. Inf. Syst. 88-D(2): 252-267 (2005)
[j16]
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Jun Inagaki, Miki Haseyama:
A Genetic Algorithm for Routing with an Upper Bound Constraint. IEICE Trans. Inf. Syst. 88-D(3): 679-681 (2005)
[j15]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
Convergence Properties of a CORDIC-Based Adaptive ARMA Lattice Filter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(8): 2154-2164 (2005)
[j14]
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Jun Murakami, Tomohide Kidachi, Miki Haseyama, Tateo Shimozawa:
Sample size dependence of estimation error of information carried by neuronal spike train. Syst. Comput. Jpn. 36(7): 84-95 (2005)
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Naoki Nitanda, Miki Haseyama, Hideo Kitajima:
Accurate audio-segment classification using feature extraction matrix. ICASSP (3) 2005: 261-264
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Miki Haseyama, Yukari Sasamura:
Effective apoptotic cell extraction from video microscopy images. ICASSP (2) 2005: 461-464
[c45]
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Miki Haseyama, Chiaki Kaneko:
A robust human-eye tracking method in video sequences. ICIP (2) 2005: 362-365
[c44]
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Takahiro Ogawa, Miki Haseyama, Hideo Kitajima:
Reconstruction method of missing texture using error reduction algorithm. ICIP (2) 2005: 1026-1029
[c43]
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Miki Haseyama, Yukinori Yokoyama:
Moving object extraction using a shape-constraint-based splitting active contour model. ICIP (3) 2005: 1260-1263
[c42]
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Jun Inagaki, Miki Haseyama:
GA-based applications for routing with an upper bound constraint. ISCAS (3) 2005: 2239-2242
[c41]
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Naoki Nitanda, Miki Haseyama, Hideo Kitajima:
Audio signal segmentation and classification for scene-cut detection. ISCAS (4) 2005: 4030-4033
[c40]
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Takahiro Ogawa, Miki Haseyama, Hideo Kitajima:
Restoration method of missing areas in still images using GMRF model. ISCAS (5) 2005: 4931-4934
[c39]
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Megumi Takezawa, Hirofumi Sanada, Kazuhisa Watanabe, Miki Haseyama:
Quality improvement technique for JPEG images with fractal image coding. ISCAS (6) 2005: 6320-6323
2004
[j13]
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Satoshi Uemura, Miki Haseyama, Hideo Kitajima:
A Novel Contour Description with Expansion Ability Using Extended Fractal Interpolation Functions. IEICE Trans. Inf. Syst. 87-D(2): 453-462 (2004)
[c38]
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Naoki Nitanda, Miki Haseyama, Hideo Kitajima:
Audio-cut detection and audio-segment classification using fuzzy c-means clustering. ICASSP (4) 2004: 325-328
[c37]
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Miki Haseyama, Daiki Matsuura:
A GA-based realization method of optimal finite-precision system. ICASSP (2) 2004: 413-416
[c36]
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Tomoki Watanabe, Miki Haseyama, Hideo Kitajima:
A soccer field tracking method with wire frame model from tv images. ICIP 2004: 1633-1636
[c35]
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Keiko Kondo, Miki Haseyama, Hideo Kitajima:
An efficient phase retrieval method using snakes for image reconstruction. ICIP 2004: 2427-2430
[c34]
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Masatoshi Hiramoto, Takahiro Ogawa, Miki Haseyama:
A novel image recognition method based on feature-extraction vector scheme. ICIP 2004: 3049-3052
[c33]
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Naoki Nitanda, Miki Haseyama, Hideo Kitajima:
An audio-scene cut detection method using fuzzy c-means algorithm for audio-visual indexing. ISCAS (2) 2004: 89-92
[c32]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
A convergence model for a CORDIC-based ARMA lattice filter. ISCAS (3) 2004: 301-304
2003
[j12]
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Satoshi Uemura, Miki Haseyama, Hideo Kitajima:
A line drawing simplification method which retains shape by using the fractal dimension. Syst. Comput. Jpn. 34(5): 1-13 (2003)
[j11]
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Miki Haseyama, Isao Kondo:
Image authentication based on fractal image coding without contamination of original image. Syst. Comput. Jpn. 34(9): 1-9 (2003)
[j10]
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Euijin Kim, Miki Haseyama, Hideo Kitajima:
Fast line extraction from digital images using line segments. Syst. Comput. Jpn. 34(10): 76-89 (2003)
[c31]
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Miki Haseyama, Isao Kondo:
2-D functional AR model for image identification. ICASSP (3) 2003: 605-608
[c30]
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Miki Haseyama, Atsushi Matsumura:
A trainable retrieval system for cartoon character images. ICASSP (3) 2003: 673-676
[c29]
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Miki Haseyama, Atsushi Matsumura:
A cartoon character retrieval system including trainable scheme. ICIP (3) 2003: 37-40
[c28]
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Miki Haseyama, Isao Kondo:
2-D functional AR model for image identification. ICME 2003: 377-380
[c27]
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Miki Haseyama, Atsushi Matsumura:
A trainable retrieval system for cartoon character images. ICME 2003: 393-396
[c26]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
Convergence analysis of a CORDIC-based gradient adaptive lattice filter. ISCAS (4) 2003: 456-459
[c25]
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Jun Inagaki, Miki Haseyama, Hideo Kitajima:
A GA-based routing method with an upper bound constraint. ISCAS (2) 2003: 488-491
2002
[j9]
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Masato Kazui, Miki Haseyama, Hideo Kitajima:
Estimation of the vanishing point for automatic driving system using a cross ratio. Syst. Comput. Jpn. 33(9): 31-40 (2002)
[c24]
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Miki Haseyama, Keiko Kondo, Hideo Kitajima:
An accurate noise detector for image restoration. ICIP (1) 2002: 321-324
[c23]
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Satoshi Uemura, Miki Haseyama, Hideo Kitajima:
Efficient contour shape description by using fractal interpolation functions. ICIP (1) 2002: 485-488
[c22]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
A cost-effective and high-precision architecture for CORDIC-based adaptive lattice filters. ISCAS (5) 2002: 297-300
2001
[j8]
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Miki Haseyama, Hideo Kitajima:
An ARMA order selection method with fuzzy reasoning. Signal Process. 81(6): 1331-1335 (2001)
[c21]
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Jun Inagaki, Miki Haseyama, Hideo Kitajima:
A new genetic algorithm for routing the shortest route via several designated points. ISCAS (2) 2001: 217-220
[c20]
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Yoshifumi Uchiyama, Miki Haseyama, Hideo Kitajima:
Hopfield neural networks for edge detection. ISCAS (3) 2001: 608-611
2000
[c19]
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Miki Haseyama, Megumi Takezawa, Junichi Miura, Hideo Kitajima:
A new approach with IFS for image restoration. EUSIPCO 2000: 1-4
[c18]
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Miki Haseyama, Megumi Takezawa, Keiko Kondo, Hideo Kitajima:
An Image Restoration Method Using IFS. ICIP 2000: 774-777
[c17]
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John Gates, Miki Haseyama, Hideo Kitajima:
Real-time polygon extraction from complex images. ISCAS 2000: 309-312
[c16]
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Masaichi Akiho, Masakatsu Tamura, Miki Haseyama, Hideo Kitajima:
Performance improvements on MEFX-LMS based noise cancellation system in vehicle cabin. ISCAS 2000: 353-356
[c15]
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Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima:
A highly accurate pipelined architecture for a CORDIC ARMA lattice filter. ISCAS 2000: 369-372
[c14]
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Miki Haseyama, Megumi Takezawa, Hiroyuki Honda, Hideo Kitajima:
An IFS-based image restoration method for impulsive noise contamination. ISCAS 2000: 593-596

1990 – 1999

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1999
[j7]
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Masato Tsukahara, Miki Haseyama, Hideo Kitajima:
Removal of additive white noise using an adaptive Wiener filter with edge retention. Syst. Comput. Jpn. 30(1): 81-89 (1999)
[c13]
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Masaichi Akiho, Miki Haseyama, Hideo Kitajima:
A practical method to reduce a number of reference signals for the ANC system. ICASSP 1999: 2387-2390
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Miki Haseyama, Masateru Kumagai, Hideo Kitajima:
A genetic algorithm based image segmentation for image analysis. ICASSP 1999: 3445-3448
[c11]
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Megumi Takezawa, Hiroyuki Honda, Junichi Miura, Miki Haseyama, Hideo Kitajima:
A Genetic-Algorithm Based Quantization Method for Fractal Image Coding. ICIP (1) 1999: 458-461
[c10]
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Hiroyuki Honda, Miki Haseyama, Hideo Kitajima:
Fractal Interpolation for Natural Images. ICIP (3) 1999: 657-665
[c9]
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  - conf/ijcnn/WangHS99
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Gang Wang, Miki Haseyama, Nobuo Suga:
A recurrent network model for range processing of the mustached bat. IJCNN 1999: 301-304
[c8]
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  - conf/iscas/GatesHK99
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John Gates, Miki Haseyama, Hideo Kitajima:
A real-time line extraction algorithm. ISCAS (4) 1999: 68-71
[c7]
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Miki Haseyama, N. Iwai, Hideo Kitajima:
A criterion-based image segmentation method with a genetic algorithm. ISCAS (4) 1999: 94-97
[c6]
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Jun Inagaki, Miki Haseyama, Hideo Kitajima:
A genetic algorithm for determining multiple routes and its applications. ISCAS (6) 1999: 137-140
[c5]
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Miki Haseyama, Hideo Kitajima:
A filter-coefficient quantization method with genetic algorithm. ISCAS (3) 1999: 399-402
1998
[j6]
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Takashi Jo, Miki Haseyama, Hideo Kitajima:
Image modeling and parameter identification for image restoration using a Kalman filter. Syst. Comput. Jpn. 29(3): 1-9 (1998)
[c4]
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Miki Haseyama, Hideo Kitajima:
A fuzzy reasoning based ARMA order selection method. EUSIPCO 1998: 1-4
1997
[j5]
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  - journals/scjapan/KikuchiHK97
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Manabu Kikuchi, Miki Haseyama, Hideo Kitajima:
Image restoration method with multiframe projection filte. Syst. Comput. Jpn. 28(7): 65-75 (1997)
[j4]
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Miki Haseyama, Hideo Kitajima:
A realization method of an ARMAX lattice filter. IEEE Trans. Signal Process. 45(2): 471-476 (1997)
[j3]
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Miki Haseyama, Hideo Kitajima:
Inherent matrix identities on ARMA lattice filter realization algorithm and their application. IEEE Trans. Signal Process. 45(9): 2395-2398 (1997)
[c3]
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Hiroyuki Honda, Miki Haseyama, Hideo Kitajima, S. Matsumoto:
Extension of the Collage Theorem. ICIP (2) 1997: 306-309
1996
[j2]
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Hiroyuki Honda, Miki Haseyama, Hideo Kitajima:
Image representation through gray-scale iterated function systems. Syst. Comput. Jpn. 27(9): 55-62 (1996)
1995
[c2]
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Miki Haseyama, Yoshihiro Aketa, Hideo Kitajima:
A method for realization of an ARMAX lattice filter. ICASSP 1995: 1705-1708
[c1]
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Miki Haseyama, Tohru Hirohku, Hideo Kitajima:
A Realization Method of an ARMAX Lattice Filter. ISCAS 1995: 365-368
1993
[j1]
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Miki Haseyama, Nobuo Nagai, Nobuhiro Miki:
An adaptive ARMA four-line lattice filter for spectral estimation with frequency weighting. IEEE Trans. Signal Process. 41(6): 2193-2207 (1993)

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