Rina Tagami,Hiroki Kobayashi,Shuichi Akizuki,Manabu Hashimoto,Reliable image matching using optimal combination of color and intensity information based on relationship with surrounding objects,IEICE Transactions,Vol.E107-D,No.10,pp.1312-1321,2024.
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto, Food State Recognition from Recipes Using Multimodal Model for Task Monitoring in Autonomous Cooking Robots, In Scandinavian Conference on Image Analysis 2025 (SCIA2025), vol.15726, pp.356-369, Reykjavik, Iceland, 2025/06/23.
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto, Automatic data generation of incorrect image-text pairs for effective contrastive learning of CLIP model, WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 187-196, Plzen, Czech Republic, 2024/6/4.
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto, Reliable Matching by Combining Optimal Color and Intensity Information based on Relationships between Target and Surrounding Objects, the 18th International Symposium on Visual Computing (ISVC2023), Proceedings of the Lecture Notes in Computer Science (LNCS), Vol.2, pp.163-176, 2023/10/18.
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto, Fast and reliable template matching based on effective pixel selection using color and intensity information, the 18th International Joint Conference on Computer Vision Theory and Applications (VISAPP2023), Vol.5, pp.607-614, the city of Lisbon in the Lisbon Marriott Hotel, 2023/02/20.
Rina Tagami, Sakura Eba, Naoya Nakabayashi, Shuichi Akizuki, Manabu Hashimoto, Template Matching Using a Small Number of Pixels Selected by Distinctiveness of Quantized Hue Values, Proceedings of SPIE International Workshop on Advanced Imaging Technology (IWAIT) 2022, Vol.12177, PSIV-70, pp.121773A-1-6, DOI: 10.1117/12.2624409, online conference, 2022/01/06.