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Research Presentation by Yixin Zhang at ACM Multimedia Asia 2024

2024年12月3日
Research Presentation by Yixin Zhang at ACM Multimedia Asia 2024

Yixin Zhang of our research group gave presentation at ACM Multimedia Asia 2024. This presentation focused on ingredient recognition from images in recipe data that describe cooking procedures. Recipe data consists of a sequence of descriptions for each cooking step. As a result, the image for each step often contains ingredients that also appeared in previous steps. However, because recipes can include branching and merging steps, ingredients do not always…
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Yixing Zhang, Yoko Yamakata, Keishi Tajima

SARI: A Stage-Aware Recognition Method for Ingredients Changing Appearance in Cooking Image Sequences

Journal of Information Processing, Vol.33, pp.104-114, IPSJ, 2025 (J-STAGE)
(preprint: 情報処理学会論文誌データベース, TOD104, Vol.18, No.1, 2025 (IPSJ Digital Library)

Yixing Zhang, Yoko Yamakata, Keishi Tajima

Adaptive Feature Inheritance and Thresholding for Ingredient Recognition in Multimedia Cooking Instructions

Proc. of 6th ACM International Conference on Multimedia in Asia,
pp.94:1-94:7, ACM Press, December 2024 (ACM DL)

research announcement
Presentation by students at DEIM 2024

2024年3月5日
Presentation by students at DEIM 2024

The four students of our group listed below gave presentation at the 16th Forum on Data Engineering and Information Management(DEIM2024). Yixin Zhang: “Analysis of visual characteristics of ingredients in recognition of images in recipe procedure instruction” Mamoru Yamakawa: “Evaluation of users’ follow action models based on real SNS data” Mizuki Hisatomi: “Grouping Web browser tabs into tasks” Akitaka Yamashita: “SNS user location estimation from rain data” Similarly to the several…
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research announcement
First In-Person Conference Presentation in Three Years: Zhang Yixin Presented at CEA++

2022年10月10日
First In-Person Conference Presentation in Three Years: Zhang Yixin Presented at CEA++

Yixin Zhang presented her research at the International Workshop on Multimedia for Cooking, Eating, and Related Applications 2022 (CEA++2022). This workshop was held as part of ACM Multimedia Conference, one of the most prestigious international conferences in multimedia technology. Due to the COVID-19 pandemic, our lab had been unable to participate in in-person conferences for the past three years, making this our first in-person conference presentation in the three years….
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Yixin Zhang, Yoko Yamakata, Keishi Tajima

MIAIS: A Multimedia Recipe Dataset with Ingredient Annotation at Each Instructional Step

Proc. of International Workshop on Multimedia for Cooking, Eating, and related APPlications (CEA++) (In conj. with ACMMM), pp.49-52, ACM Press, October 2022 (ACM DL)

research announcement
Yixin Zhang gave presentation at ACM Multimedia Asia

2021年12月3日
Yixin Zhang gave presentation at ACM Multimedia Asia

Yuexin Zhang presented her research findings at ACM Multimedia Asia, one of the international conferences on multimedia organized by ACM. The title of her paper is “MIRecipe: A Recipe Dataset for Stage-Aware Recognition of Changes in Appearance of Ingredients.” In recent years, many recipe datasets have been accumulated on websites such as Cookpad. These recipe datasets describe each step of the cooking process using text or a combination of text…
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Yixin Zhang, Yoko Yamakata, Keishi Tajima

MIRecipe: A Recipe Dataset for Stage-Aware Recognition of Changes in Appearance of Ingredients

Proc. of 3rd ACM International Conference on Multimedia in Asia,
pp.16:1-16:7, ACM Press, December 2021 (ACM DL)

Yixin Zhang, Yoko Yamakata, Keishi Tajima

Supplementing Omitted Named Entities in Cooking Procedural Text with Attached Images

Proc. of 4th IEEE International Conference on Multimedia Information Processing and Retrieval,
pp.199-205, September 2021 (IEEE Xplore, IEEE CS DL)

Yixin Zhang, Yoko Yamakata, Keishi Tajima

Categorization of Cooking Actions Based on Textual/Visual Similarity

Proc. of 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa) (In conj. with ACMMM), pp.42-49, ACM Press, October 2019 (ACM DL)

Yoko Yamakata, Keishi Tajima, Shinsuke Mori,

A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus

Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
pp.3564-3567, IEEE Computer Society Press, December 2018 (IEEE Xplore)