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ORCIDYuya Moroto
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- affiliation: Hokkaido University, Sapporo, Japan
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2020 – today
- 2024
[j6]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. Comput. Aided Civ. Infrastructure Eng. 39(19): 2935-2950 (2024)- [j5]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) - [c20]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. MMSports@MM 2024: 75-79 - 2023
- [j4]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) - [c19]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 - [c18]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 - [c17]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 - [c16]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
- [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - 2021
- [c10]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 - [c9]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 - [c8]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. LifeTech 2021: 67-68 - 2020
- [j3]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) - [j2]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) - [j1]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) - [c7]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. GCCE 2020: 745-746 - [c6]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Person-Specific Visual Attention via Selection of Similar Persons. ICCE-TW 2020: 1-2
2010 – 2019
- 2019
- [c5]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 - [c4]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 - [c3]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. ICIP 2019: 4105-4109 - [c2]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
- [c1]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
Coauthor Index
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