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Keisuke Maeda
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2020 – today
- 2024
- [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [c98]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. ICASSP 2024: 3500-3504 - [c97]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 - [c96]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 - [c95]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 - [i5]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) - [i4]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) - [i3]Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Reinforcing Pre-trained Models Using Counterfactual Images. CoRR abs/2406.13316 (2024) - [i2]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) - 2023
- [j42]Koshi Watanabe
, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama
:
SpectralMAP: Approximating Data Manifold With Spectral Decomposition. IEEE Access 11: 31530-31540 (2023) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]Ziwen Lan, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama:
Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. Sensors 23(10): 4798 (2023) - [j34]Yusuke Akamatsu
, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama:
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors 23(15): 6903 (2023) - [j33]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) - [j32]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) - [c94]Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. GCCE 2023: 390-391 - [c93]Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. GCCE 2023: 415-416 - [c92]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 - [c91]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 - [c90]Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. GCCE 2023: 829-830 - [c89]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 - [c88]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 - [c87]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 - [c86]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. ICASSP 2023: 1-5 - [c85]Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. ICASSP 2023: 1-5 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. ICIP 2023: 2005-2009 - [c79]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 - [c78]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 - [c77]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 - [i1]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
- [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [c76]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 - [c75]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 - [c74]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Refinement of Gaze-based Image Caption for Image Retrieval. GCCE 2022: 272-273 - [c73]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
GCN-based Collaborative Filtering Considering Personality Bias. GCCE 2022: 278-279 - [c72]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 - [c71]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 - [c70]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 - [c69]Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE 2022: 891-892 - [c68]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP 2022: 3908-3912 - [c67]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 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Image Retrieval with Gaze-Based Image Captioning. ICIP 2022: 3828-3832 - [c58]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 - [c57]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 - [c56]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. MMAsia 2022: 30:1-30:5 - [c55]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. ECML/PKDD (5) 2022: 157-173 - [c54]Shinya Fujita, Ryo Ishimaru, Yuji Sakamoto, Keisuke Maeda, Osamu Okudaira, Yuji Sato, Toshinori Kuwahara
, Takafumi Matsui:
Development of Spin Stabilization Control System for the Cosmic Dust Observation CubeSat. SII 2022: 114-119 - 2021
- [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [c53]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. GCCE 2021: 5-6 - [c52]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 - [c51]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 - [c50]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. GCCE 2021: 195-196 - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]Yun Liang, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. ICASSP 2021: 4150-4154 - [c40]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 - [c39]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 - [c38]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. ICIP 2021: 1039-1043 - [c37]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. ICIP 2021: 1209-1213 - [c36]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 - [c35]Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. ICIP 2021: 2433-2437 - [c34]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 - [c33]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 - [c32]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. LifeTech 2021: 67-68 - 2020
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [c31]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 - [c30]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 - [c29]Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Estimation of Viewed Images Using Individual and Shared Brain Responses. GCCE 2020: 716-717 - [c28]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. GCCE 2020: 745-746 - [c27]Yun Liang, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. GCCE 2020: 940-941 - [c26]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 - [c25]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 - [c24]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Estimation of Person-Specific Visual Attention via Selection of Similar Persons. ICCE-TW 2020: 1-2 - [c23]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 - [c22]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 - [c21]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops 2020: 1-6 - [c20]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. LifeTech 2020: 97-98 - [c19]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
2010 – 2019
- 2019
- [j7]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) - [c18]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 - [c17]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE 2019: 663-664 - [c16]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. GCCE 2019: 764-765 - [c15]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 - [c14]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 - [c13]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 - [c12]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. ICIP 2019: 4105-4109 - [c11]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 - 2018
- [j6]Takahiro Ogawa
, Yuma Sasaka
, Keisuke Maeda, Miki Haseyama:
Favorite Video Classification Based on Multimodal Bidirectional LSTM. IEEE Access 6: 61401-61409 (2018) - [j5]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) - [j4]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) - [c10]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 - [c9]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 - 2017
- [j3]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) - [c8]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 - [c7]Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. ICIP 2017: 435-439 - [c6]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 - 2016
- [j2]Masamichi Shimosaka, Osamu Saisho, Takuya Sunakawa, Hidenori Koyasu, Keisuke Maeda, Ryoma Kawajiri:
ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing. Adv. Robotics 30(5): 315-325 (2016) - [c5]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa
, Miki Haseyama:
Distress classification of road structures via decision level fusion. DSP 2016: 589-593 - 2015
- [j1]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) - [c4]Masamichi Shimosaka, Keisuke Maeda, Takeshi Tsukiji, Kota Tsubouchi
:
Forecasting urban dynamics with mobility logs by bilinear Poisson regression. UbiComp 2015: 535-546 - [c3]Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. ICIP 2015: 2246-2250 - 2014
- [c2]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa
, Miki Haseyama:
Bayesian network-based distress estimation using image features in road structure assessment. GCCE 2014: 169-170 - 2013
- [c1]Rui Fukui, Keisuke Maeda, Masahiko Watanabe, Masamichi Shimosaka, Tomomasa Sato:
Numerical modeling of image discriminability for home storage and organization system on a smart device. UbiComp (Adjunct Publication) 2013: 187-190
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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