Keisuke Maeda - RankMe

203 papers A* 3A 1B 27C 4Misc 23Journal 75Unranked 70

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models. AAAI Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2026	J	`jnl`	Deep Generative Replay-Based Personalization With Conditional Latent Attention for Diffusion Models. IEEE Access Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2026	J	`jnl`	Foreground-Aware Dataset Distillation via Dynamic Patch Selection. CoRR Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2026	J	`jnl`	Generalizing Stylized Motion Generation Method by Introducing Metadata-Independent Learning and Unified Multiple Motion Dataset. IEEE Trans. Multim. Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2026	J	`jnl`	Personalized Federated Learning for Egocentric Video Gaze Estimation With Comprehensive Parameter Freezing. IEEE Access Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	A*	`conf`	Context-aware Image-to-Music Generation via Bridging Modalities through Musical Captions. ACM Multimedia Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild. Knowl. Based Syst. Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Damage-level classification considering both correlation between image and text data and confidence of attention map. Comput. Aided Civ. Infrastructure Eng. Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Decoupled Audio-Visual Dataset Distillation. CoRR Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition. CoRR Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	Misc	`conf`	Generative Dataset Distillation Based on Self-knowledge Distillation. ICASSP Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Generative Dataset Distillation Based on Self-knowledge Distillation. CoRR Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	Misc	`conf`	Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. ICASSP Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Hyperbolic Dataset Distillation. CoRR Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	A	`conf`	Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. AISTATS Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering. IEEE Trans. Serv. Comput. Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2025	—	`conf`	Lost in the Interface: How Structured UI Complexity Challenges Large Vision Language Models in Games. SIGGRAPH Asia Technical Communications Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	—	`conf`	MLLM-guided Training-free Spherical Panorama Generation from a Single Image. SIGGRAPH Asia Posters Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation. CoRR Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing. CoRR Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	Misc	`conf`	Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. ICASSP Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	StarMAP: Global Neighbor Embedding for Faithful Data Visualization. CoRR Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	J	`jnl`	Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation. CoRR Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2025	Misc	`conf`	Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation. ICASSP Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. Sensors Yuhu Feng, Jiahuan Zhang, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. Remote. Sens. Guang Li, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. SIGGRAPH Asia Technical Communications Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. GCCE Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. Sensors Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	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 Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	Misc	`conf`	Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. ICASSP Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	B	`conf`	Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. ICIP Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition. CoRR Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. GCCE Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. CoRR Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	Misc	`conf`	Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. ICASSP Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Flexibly manipulating popularity bias for tackling trade-offs in recommendation. Inf. Process. Manag. Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. SIGGRAPH Asia Posters Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Generative Dataset Distillation Based on Large Model Pool. GCCE Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Generative Dataset Distillation: Balancing Global Structure and Local Details. CVPR Workshops Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Generative Dataset Distillation: Balancing Global Structure and Local Details. CoRR Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. CoRR Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. GCCE Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. IEEE Access Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. ICCE-Taiwan Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. GCCE Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. ICCE-Taiwan Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. IEEE Access Keisuke Maeda, Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2024	Misc	`conf`	Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. ICASSP Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. GCCE Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. Sensors Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. GCCE Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	Misc	`conf`	Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. ICASSP Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	B	`conf`	Reinforcing Pre-Trained Models Using Counterfactual Images. ICIP Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Reinforcing Pre-trained Models Using Counterfactual Images. CoRR Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. Comput. Aided Civ. Infrastructure Eng. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. Sensors Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	J	`jnl`	Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. CoRR Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. MMSports@MM Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. GCCE Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024	—	`conf`	Zero-shot Controllable Music Generation from Videos Using Facial Expressions. GCCE Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	A Controllable Recoloring Method for Novel Views Using Segment Anything Model. GCCE Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. GCCE Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2023	Misc	`conf`	Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. ICASSP Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. GCCE Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. ICCE-Taiwan Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama
2023	J	`jnl`	Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. Sensors Takaaki Higashi, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	Misc	`conf`	Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. ICASSP Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	B	`conf`	Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. ICIP Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information. CoRR Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration. IEEE Access Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	Misc	`conf`	Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. ICASSP Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. GCCE Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	Misc	`conf`	Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. ICASSP Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. Sensors Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. IEEE Access Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. Sensors Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	B	`conf`	Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. ICIP Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. GCCE Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	A*	`conf`	Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. ACM Multimedia Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features. ICCE-Taiwan Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations. Sensors Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions. ICCE-Taiwan Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	SpectralMAP: Approximating Data Manifold With Spectral Decomposition. IEEE Access Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	B	`conf`	Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. ICIP Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. IEEE Access Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	—	`conf`	Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. GCCE Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	B	`conf`	Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. ICIP Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2023	J	`jnl`	Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2023	J	`jnl`	Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. Sensors Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. ICCE-TW Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction. MMAsia Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. GCCE Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. ICIP Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model. Sensors Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Chain centre loss: A psychology inspired loss function for image sentiment analysis. Neurocomputing Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. GCCE Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. GCCE Kazuki Yamamoto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. Sensors Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Development of Spin Stabilization Control System for the Cosmic Dust Observation CubeSat. SII Shinya Fujita, Ryo Ishimaru, Yuji Sakamoto, Keisuke Maeda, Osamu Okudaira, Yuji Sato, Toshinori Kuwahara, Takafumi Matsui
2022	J	`jnl`	Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. Sensors Keisuke Maeda, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa, Miki Haseyama
2022	Misc	`conf`	Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. ICASSP Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. ICIP Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. ICIP Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	GCN-based Collaborative Filtering Considering Personality Bias. GCCE Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. ICIP Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	Misc	`conf`	Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. ICASSP Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	Misc	`conf`	Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. ICASSP Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	Human-Centric Image Retrieval with Gaze-Based Image Captioning. ICIP Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. MMAsia Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. GCCE Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama
2022	—	`conf`	Refinement of Gaze-based Image Caption for Image Retrieval. GCCE Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. IEEE Access Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2022	J	`jnl`	Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. Sensors Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations. GCCE Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. ECML/PKDD (5) Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. Sensors Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	—	`conf`	Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	J	`jnl`	Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. Sensors Keisuke Maeda, Ren Togo, Takahiro Ogawa, Shin-ichi Adachi, Fumiaki Yoshizawa, Miki Haseyama
2022	Misc	`conf`	Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2022	B	`conf`	Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. ICIP Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. GCCE Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. GCCE Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2021	Misc	`conf`	Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. ICASSP Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. ICIP Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. ICIP Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2021	Misc	`conf`	Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. ICASSP Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. ICIP Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network. GCCE Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. ICCE-TW Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. IEEE Access Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. Sensors Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. Multim. Tools Appl. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. IEEE Access Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	Misc	`conf`	Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model. ICASSP Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation. IEEE Access Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	Misc	`conf`	Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. ICASSP Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. ICIP Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. GCCE Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. LifeTech Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. ICIP Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. GCCE Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	Misc	`conf`	Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. ICASSP Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features. GCCE Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. J. Imaging Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. Sensors Ren Togo, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Segmentation-Aware Text-Guided Image Manipulation. ICIP Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	J	`jnl`	Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. IEEE Access Masanao Matsumoto, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. GCCE Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	B	`conf`	Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. ICIP Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021	—	`conf`	Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features. GCCE Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. GCCE Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2020	—	`conf`	Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. LifeTech Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. GCCE Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. IEEE Access Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Estimation of Person-Specific Visual Attention via Selection of Similar Persons. ICCE-TW Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. GCCE Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Estimation of Viewed Images Using Individual and Shared Brain Responses. GCCE Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	B	`conf`	Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. ICIP Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention. Sensors Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. IEEE Access Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Human-centered image classification via a neural network considering visual and biological features. Multim. Tools Appl. Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. ICCE-TW Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	B	`conf`	Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. ICIP Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. GCCE Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Inpainting via Sparse Representation Based on a Phaseless Quality Metric. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takahiro Ogawa, Keisuke Maeda, Miki Haseyama
2020	—	`conf`	Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters. GCCE Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Keisuke Maeda, Kazaha Horii, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge. LifeTech Genki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration. IEEE Access Keisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
2020	J	`jnl`	Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion. Sensors Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	J	`jnl`	Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. Comput. Aided Civ. Infrastructure Eng. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2019	B	`conf`	Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. ICIP Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users. GCCE Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features. LifeTech Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	Misc	`conf`	Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. ICASSP Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2019	B	`conf`	Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. ICIP Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. GCCE Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019	—	`conf`	User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images. ICCE-TW Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2018	B	`conf`	A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. ICIP Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2018	J	`jnl`	Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. Adv. Eng. Informatics Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2018	J	`jnl`	Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. IEEE J. Sel. Top. Signal Process. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2018	J	`jnl`	Favorite Video Classification Based on Multimodal Bidirectional LSTM. IEEE Access Takahiro Ogawa, Yuma Sasaka, Keisuke Maeda, Miki Haseyama
2018	C	`conf`	Sectional Review Recommendations based on Learner's Comprehension in Video-based Learning. ICCE Yusuke Hayashi, Keisuke Maeda, Toshio Honda, Tsukasa Hirashima
2018	C	`conf`	Structure-mapping Support for Learning by Analogy with Kit-Build Concept Map. ICCE Yusuke Hayashi, Kan Yoshida, Keisuke Maeda, Akira Yamanaka, Tsukasa Hirashima
2018	—	`conf`	User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data. GCCE Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2017	B	`conf`	Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. ICIP Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2017	B	`conf`	Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. ICIP Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2017	J	`jnl`	Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. J. Comput. Civ. Eng. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2017	—	`conf`	Image classification for trend prediction based on integration of fNIRS and visual features. GCCE Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2016	C	`conf`	Comparison between Kit-Building Task of Concept Map and Multiple Choice Task of Fill-in-the-blank Question Generated from the Same Series of Propositions. ICCE Takuya Kitamura, Akira Yamanaka, Keisuke Maeda, Yusuke Hayashi, Tsukasa Hirashima
2016	—	`conf`	Distress classification of road structures via decision level fusion. DSP Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2016	C	`conf`	Learning Task Generation from a Series of Propositions of a Learning Topic: Kit-Building Task of Concept Map and Multiple Choice Task of Fill-in-the-blank Questions. ICCE Takuya Kitamura, Akira Yamanaka, Keisuke Maeda, Yusuke Hayashi, Tsukasa Hirashima
2016	J	`jnl`	ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing. Adv. Robotics Masamichi Shimosaka, Osamu Saisho, Takuya Sunakawa, Hidenori Koyasu, Keisuke Maeda, Ryoma Kawajiri
2015	J	`jnl`	Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. Inf. Media Technol. Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2015	J	`jnl`	Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. IPSJ Trans. Comput. Vis. Appl. Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2015	B	`conf`	Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. ICIP Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2015	Misc	`conf`	Forecasting urban dynamics with mobility logs by bilinear Poisson regression. UbiComp Masamichi Shimosaka, Keisuke Maeda, Takeshi Tsukiji, Kota Tsubouchi
2014	—	`conf`	Bayesian network-based distress estimation using image features in road structure assessment. GCCE Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2013	—	`conf`	Numerical modeling of image discriminability for home storage and organization system on a smart device. UbiComp (Adjunct Publication) Rui Fukui, Keisuke Maeda, Masahiko Watanabe, Masamichi Shimosaka, Tomomasa Sato