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ORCIDTakahiro Ogawa 0001
Person information
- affiliation (PhD 2007): Hokkaido University, Faculty of Information Science and Technology, Sapporo, Japan
Other persons with the same name
- Takahiro Ogawa 0002 — University of Tokushima, Japan
- Takahiro Ogawa 0003 — Niigata University, Graduate School of Science and Technology, Japan
- Takahiro Ogawa 0004 — Nagoya University, Japan
- Takahiro Ogawa 0005 — Yamaguchi Co., Ltd., Isesaki, Japan
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2020 – today
- 2023
[j115]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)- [j114]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) - [j113]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) - [i14]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Interpretable Visual Question Answering Referring to Outside Knowledge. CoRR abs/2303.04388 (2023) - 2022
- [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Defect Detection of Subway Tunnels Using Advanced U-Net Network. Sensors 22(6): 2330 (2022) - [j103]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) - [j102]Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning. Sensors 22(10): 3722 (2022) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [c238]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-Set Multi-source Model Adaptation for Semantic Segmentation. ECCV (29) 2022: 579-595 - [c237]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 - [c236]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 - [c235]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Refinement of Gaze-based Image Caption for Image Retrieval. GCCE 2022: 272-273 - [c234]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
GCN-based Collaborative Filtering Considering Personality Bias. GCCE 2022: 278-279 - [c233]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 - [c232]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 - [c231]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 - [c230]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 - [c229]Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-modal Image Retrieval Considering Semantic Relationships with Object Information. GCCE 2022: 775-776 - [c228]He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama:
A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor. GCCE 2022: 777-778 - [c227]Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE 2022: 891-892 - [c226]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 - [c225]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Divergence-Guided Feature Alignment for Cross-Domain Object Detection. ICASSP 2022: 2240-2244 - [c224]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. ICASSP 2022: 3458-3462 - [c223]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP 2022: 3908-3912 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]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 - [c216]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 - [c215]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 - [c214]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 - [c213]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 - [c212]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 - [c211]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Image Retrieval with Gaze-Based Image Captioning. ICIP 2022: 3828-3832 - [c210]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 - [c209]Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Transformer Based Multimodal Scene Recognition in Soccer Videos. ICME Workshops 2022: 1-6 - [c208]Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Knowledge-Guided Sequential Recommendation with Reinforcement Learning Using Empirical Distribution Function. LifeTech 2022: 187-188 - [c207]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 - [c206]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 - [c205]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 - [c204]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. MMAsia 2022: 30:1-30:5 - [c203]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 - [c202]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]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) - [i12]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. CoRR abs/2206.03012 (2022) - [i11]Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Gromov-Wasserstein Autoencoders. CoRR abs/2209.07007 (2022) - [i10]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Distillation for Medical Dataset Sharing. CoRR abs/2209.14603 (2022) - [i9]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Distillation using Parameter Pruning. CoRR abs/2209.14609 (2022) - [i8]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing. CoRR abs/2209.14635 (2022) - [i7]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum. CoRR abs/2209.14743 (2022) - [i6]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. CoRR abs/2211.00313 (2022) - [i5]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-set Multi-source Model Adaptation for Semantic Segmentation. CoRR abs/2212.02785 (2022) - [i4]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images. CoRR abs/2212.09276 (2022) - [i3]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
- [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [c201]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. GCCE 2021: 5-6 - [c200]Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose Estimation. GCCE 2021: 9-10 - [c199]Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Estimating Imagined Images from Brain Activities via Visual Question Answering. GCCE 2021: 35-36 - [c198]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 - [c197]Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Sports Action Detection Based on Self-Supervised Feature Learning and Object Detection. GCCE 2021: 54-55 - [c196]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 - [c195]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 - [c194]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 - [c193]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. GCCE 2021: 195-196 - [c192]Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement Learning. GCCE 2021: 202-203 - [c191]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 - [c190]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 - [c189]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 - [c188]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 - [c187]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations. GCCE 2021: 787-788 - [c186]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 - [c185]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 - [c184]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 - [c183]Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. ICASSP 2021: 2150-2154 - [c182]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 - [c181]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 - [c180]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. ICASSP 2021: 4150-4154 - [c179]Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization. ICCE-TW 2021: 1-2 - [c178]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 - [c177]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 - [c176]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 - [c175]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. ICIP 2021: 1039-1043 - [c174]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. ICIP 2021: 1209-1213 - [c173]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 - [c172]Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. ICIP 2021: 2433-2437 - [c171]Nao Nakagawa,