Yuya Moroto

Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction

M. Haseyama, Takahiro Ogawa, K. Maeda, 2022, MMAsia.

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEEE Access.

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization

M. Haseyama, Takahiro Ogawa, Yuya Moroto, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention†

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation

M. Haseyama, Takahiro Ogawa, Yingrui Ye, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Zero-Shot Visual Sentiment Prediction via Cross-Domain Knowledge Distillation

M. Haseyama, Takahiro Ogawa, Yingrui Ye, 2024, IEEE Open Journal of Signal Processing.

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions

M. Haseyama, Takahiro Ogawa, Ren Togo, 2024, Sensors.

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals

M. Haseyama, Takahiro Ogawa, Yuya Moroto, 2023, 2023 IEEE International Conference on Image Processing (ICIP).