Numerical modeling of image discriminability for home storage and organization system on a smart device. - Rui Fukui; Keisuke Maeda; Masahiko Watanabe; Masamichi Shimosaka; Tomomasa Sato (UbiComp (Adjunct Publication), 2013)

Bayesian network-based distress estimation using image features in road structure assessment. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2014)

Forecasting urban dynamics with mobility logs by bilinear Poisson regression. - Masamichi Shimosaka; Keisuke Maeda; Takeshi Tsukiji; Kota Tsubouchi (UbiComp, 2015)

Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2015)

Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IPSJ Trans. Comput. Vis. Appl., 2015)

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. - Takuya Kitamura; Akira Yamanaka; Keisuke Maeda; Yusuke Hayashi; Tsukasa Hirashima (ICCE, 2016)

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. - Takuya Kitamura; Akira Yamanaka; Keisuke Maeda; Yusuke Hayashi; Tsukasa Hirashima (ICCE, 2016)

Distress classification of road structures via decision level fusion. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (DSP, 2016)

ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing. - Masamichi Shimosaka; Osamu Saisho; Takuya Sunakawa; Hidenori Koyasu; Keisuke Maeda; Ryoma Kawajiri (Adv. Robotics, 2016)

Image classification for trend prediction based on integration of fNIRS and visual features. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (J. Comput. Civ. Eng., 2017)

User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Sectional Review Recommendations based on Learner's Comprehension in Video-based Learning. - Yusuke Hayashi; Keisuke Maeda; Toshio Honda; Tsukasa Hirashima (ICCE, 2018)

Structure-mapping Support for Learning by Analogy with Kit-Build Concept Map. - Yusuke Hayashi; Kan Yoshida; Keisuke Maeda; Akira Yamanaka; Tsukasa Hirashima (ICCE, 2018)

A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2018)

Favorite Video Classification Based on Multimodal Bidirectional LSTM. - Takahiro Ogawa 001; Yuma Sasaka; Keisuke Maeda; Miki Haseyama (IEEE Access, 2018)

Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Adv. Eng. Informatics, 2018)

Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE J. Sel. Top. Signal Process., 2018)

Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2019)

User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2019)

Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2019)

Estimation of Viewed Images Using Individual and Shared Brain Responses. - Takaaki Higashi; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2020)

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Estimation of Person-Specific Visual Attention via Selection of Similar Persons. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICME Workshops, 2020)

Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge. - Genki Suzuki; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration. - Keisuke Maeda; Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. - Keisuke Maeda; Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation. - Keisuke Maeda; Kazaha Horii; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Inpainting via Sparse Representation Based on a Phaseless Quality Metric. - Takahiro Ogawa 001; Keisuke Maeda; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Human-centered image classification via a neural network considering visual and biological features. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2020)

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2020)

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2020)

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2021)

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. - Yusuke Akamatsu; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model. - Takaaki Higashi; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. - Masanao Matsumoto; Keisuke Maeda; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Segmentation-Aware Text-Guided Image Manipulation. - Tomoki Haruyama; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICIP, 2021)

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. - Masanao Matsumoto; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. - Keisuke Maeda; Naoki Ogawa; Takahiro Ogawa 001; Miki Haseyama (J. Imaging, 2021)

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2021)

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. - Ren Togo; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Refinement of Gaze-based Image Caption for Image Retrieval. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2022)

GCN-based Collaborative Filtering Considering Personality Bias. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Trend Prediction of Students' Mock Examination Results Using Matrix Completion. - Yutaka Yamada; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. - Kazuki Yamamoto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. - Tsuyoshi Masuda; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Human-Centric Image Retrieval with Gaze-Based Image Captioning. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ECML/PKDD (5), 2022)

Development of Spin Stabilization Control System for the Cosmic Dust Observation CubeSat. - Shinya Fujita 002; Ryo Ishimaru; Yuji Sakamoto; Keisuke Maeda; Osamu Okudaira; Yuji Sato; Toshinori Kuwahara; Takafumi Matsui (SII, 2022)

Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (IEEE Access, 2022)

Chain centre loss: A psychology inspired loss function for image sentiment analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Neurocomputing, 2022)

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model. - Takaaki Higashi; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. - Keisuke Maeda; Saya Takada; Tomoki Haruyama; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. - Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Shin-ichi Adachi; Fumiaki Yoshizawa; Miki Haseyama (Sensors, 2022)

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

A Controllable Recoloring Method for Novel Views Using Segment Anything Model. - Haoyang Wang; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICCE-Taiwan, 2023)

Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. - Yuya Moroto; Rintaro Yanagi; Naoki Ogawa; Kyohei Kamikawa; Keigo Sakurai; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2023)

Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

SpectralMAP: Approximating Data Manifold With Spectral Decomposition. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. - Rintaro Yanagi; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2023)

Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. - Takaaki Higashi; Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. - Yusuke Akamatsu; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. - Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (J. Robotics Mechatronics, 2023)

Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Generative Dataset Distillation: Balancing Global Structure and Local Details. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CVPR Workshops, 2024)

Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. - Kaede Hayakawa; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Generative Dataset Distillation Based on Large Model Pool. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Zero-shot Controllable Music Generation from Videos Using Facial Expressions. - Shilin Liu; Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. - Tasuku Nakajima; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. - Ryo Takahashi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. - Kenta Uesugi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Reinforcing Pre-Trained Models Using Counterfactual Images. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMSports@MM, 2024)

Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Posters, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Technical Communications, 2024)

Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. - Keisuke Maeda; Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2024)

Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2024)

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. - Yuto Watanabe; Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (J. Robotics Mechatronics, 2024)

Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Flexibly manipulating popularity bias for tackling trade-offs in recommendation. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Inf. Process. Manag., 2024)

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. - Guang Li 008; Ren Togo; Keisuke Maeda; Akinori Sako; Isao Yamauchi; Tetsuya Hayakawa; Shigeyuki Nakamae; Takahiro Ogawa 001; Miki Haseyama (Remote. Sens., 2024)

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. - Yuhu Feng; Jiahuan Zhang; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. - Yuya Moroto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2024)

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (AISTATS, 2025)

Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Generative Dataset Distillation Based on Self-knowledge Distillation. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation. - Kenta Uesugi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Serv. Comput., 2025)

Damage-level classification considering both correlation between image and text data and confidence of attention map. - Keisuke Maeda; Naoki Ogawa; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2025)

StarMAP: Global Neighbor Embedding for Faithful Data Visualization. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Hyperbolic Dataset Distillation. - Wenyuan Li; Guang Li 008; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)