Research field (3):
Measurement engineering
, Intelligent informatics
, Sensitivity (kansei) informatics
Research theme for competitive and other funds (2):
2022 - 2025 A novel study on visible ingredient identification in food images for food computing
2007 - 2010 意味の曖昧さと多様さを考慮する大規模画像・ビデオの自動表現手法に関する研究
Papers (52):
Ying Dai. Building CNN-Based Models for Image Aesthetic Score Prediction Using an Ensemble. Journal of Imaging. 2023. 2. 2
Ziyi Zhu, Ying Dai. CNN-based visible ingredient segmentation in food images for food ingredient recognition. Proc. of AAAI AAI 2022. 2022. 348-353
Ying Dai. Exploring Metrics to Establish an Optimal Model for Image Aesthetic Assessment and Analysis. Journal of Imaging. 2022
Food Ingredients Identification from Dish Images by Deep Learning. 2021
Ying Dai. Sample-specific repetitive learning for photo aesthetic auto-assessment and highlight elements analysis. Multimedia Tools and Applications. 2021