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Miki Haseyama
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2020 – today
- 2024
- [j176]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]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]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]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]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]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]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]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Importance-aware adaptive dataset distillation. Neural Networks 172: 106154 (2024) - [j168]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]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]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]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]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]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) - [c332]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 - [c331]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 - [c330]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. ICASSP 2024: 1821-1825 - [c329]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. ICASSP 2024: 3500-3504 - [c328]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 - [c327]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 - [c326]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 - [c325]Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
DQG: Database Question Generation for Exact Text-based Image Retrieval. ACM Multimedia 2024: 7424-7433 - [c324]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 - [i25]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Importance-Aware Adaptive Dataset Distillation. CoRR abs/2401.15863 (2024) - [i24]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Prompt-based Personalized Federated Learning for Medical Visual Question Answering. CoRR abs/2402.09677 (2024) - [i23]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) - [i22]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) - [i21]Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Reinforcing Pre-trained Models Using Counterfactual Images. CoRR abs/2406.13316 (2024) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - 2023
- [j162]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) - [j161]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
SpectralMAP: Approximating Data Manifold With Spectral Decomposition. IEEE Access 11: 31530-31540 (2023) - [j160]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]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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]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]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]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]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]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]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]Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors 23(15): 6903 (2023) - [j147]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]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]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]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]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]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]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]Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Bundle Detection based on Graph Convolutional Network Considering Categorical Hierarchical Relationship. GCCE 2023: 827-828 - [c317]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]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]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]Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Class-Aware Shared Gaussian Process Dynamic Model. ICASSP 2023: 1-5 - [c313]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]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. ICASSP 2023: 1-5 - [c311]Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Binauralization Robust To Camera Rotation Using 360° Videos. ICASSP 2023: 1-5 - [c310]Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. ICASSP 2023: 1-5 - [c309]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]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]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]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]Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Binaural Audio Generation with Data Augmentation from 360° Videos. ICCE-Taiwan 2023: 795-796 - [c304]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]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]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]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. ICIP 2023: 2005-2009 - [c300]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. ICIP 2023: 2140-2144 - [c299]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]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]Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gromov-Wasserstein Autoencoders. ICLR 2023 - [c296]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]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. CoRR abs/2303.04388 (2023) - [i14]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]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) - [j144]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]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]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]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) - [j140]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) - [j139]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) - [j138]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) - [j137]An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Defect Detection of Subway Tunnels Using Advanced U-Net Network. Sensors 22(6): 2330 (2022) - [j136]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]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]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]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]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]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) - [j130]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) - [c295]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-Set Multi-source Model Adaptation for Semantic Segmentation. ECCV (29) 2022: 579-595 - [c294]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 - [c293]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 - [c292]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Refinement of Gaze-based Image Caption for Image Retrieval. GCCE 2022: 272-273 - [c291]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
GCN-based Collaborative Filtering Considering Personality Bias. GCCE 2022: 278-279 - [c290]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 - [c289]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]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]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]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]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor. GCCE 2022: 777-778 - [c284]Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE 2022: 891-892 - [c283]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]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Divergence-Guided Feature Alignment for Cross-Domain Object Detection. ICASSP 2022: 2240-2244 - [c281]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. ICASSP 2022: 3458-3462 - [c280]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP 2022: 3908-3912 - [c279]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa,