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)

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

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)

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

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

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)

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)

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)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)