Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 14:00 |
Hokkaido |
Hokkaido Univ. |
Image Recognition-Based Ingredients Input Support for Food Nutrition Calculation Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2023-54 IE2023-43 |
Contemporary nutrition tracking applications often rely on standard nutrient databases, overlooking the specific ingredi... [more] |
ITS2023-54 IE2023-43 pp.46-49 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 13:15 |
Hokkaido |
Hokkaido Univ. |
Constructing an ingredient classification model for automatic calculation of nutritional value and environmental impact from user-generated recipes Yoko Yamakata, Liangyu Wang (UTokyo), Eiji Yamasue (Rits), Akiko Sunto (KUHS), Kiyoharu Aizawa (UTokyo) ITS2022-48 IE2022-65 |
In order to calculate rough nutritional values from recipes, this paper proposes a method to link the list of ingredient... [more] |
ITS2022-48 IE2022-65 pp.29-34 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 13:30 |
Hokkaido |
Hokkaido Univ. |
Semi-automatic dataset construction from user-generated recipes for image recognition based dietary assessment Liangyu Wang, Yoko Yamakata (Utokyo), Akiko Sunto (Kanagawa Univ. of Human Services), Kiyoharu Aizawa (Utokyo) ITS2022-49 IE2022-66 |
[more] |
ITS2022-49 IE2022-66 pp.35-40 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 13:45 |
Hokkaido |
Hokkaido Univ. |
Automatic generation of eating order reports from first-person eating videos Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2022-50 IE2022-67 |
By automatically generating meal reports used by dietitians for dietary guidance from video footage of meals recorded by... [more] |
ITS2022-50 IE2022-67 pp.41-46 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 14:00 |
Hokkaido |
Hokkaido Univ. |
Prediction of mental state from food images Kei Nakamoto (The Univ. of Tokyo), Sosuke Amano (foo.log), Hiroaki Karasawa (Hongo Software Development), Yoko Yamakata, Kiyoharu Aizawa (The Univ. of Tokyo) ITS2022-51 IE2022-68 |
[more] |
ITS2022-51 IE2022-68 pp.47-52 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 11:00 |
Online |
Online |
RecipeLog: Input interface for multimedia recipes with structured instructions Akihisa Ishino, Yoko Yamakata (UTokyo), Hiroaki Karasawa (HSD), Sousuke Amano (foo.log), Kiyoharu Aizawa (UTokyo) |
[more] |
|
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 11:15 |
Online |
Online |
Datasets construction of first-person video capturing eating behavior toward automatic eat logging system Kenshiro Sato (UTokyo), Sosuke Amano (foo.log), Yoko Yamakata, Aizawa Kiyoharu (UTokyo) |
[more] |
|
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 11:10 |
Online |
Online |
Enhancing Personalized Food Image Classifier by Visual Attention and Class-Dependent Weighting Seum Kim, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-47 IE2021-56 |
In a real-world setting, food records are very noisy and strongly imbalanced. Besides, inter-class similarity and intra-... [more] |
ITS2021-47 IE2021-56 pp.133-138 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 13:15 |
Online |
Online |
Noise-Resistant Learning for Object Detection Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-52 IE2021-61 |
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more] |
ITS2021-52 IE2021-61 pp.163-166 |
LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] |
2020-09-02 09:55 |
Online |
Online |
A survey of the effects of long-term refraining from going out on subjective health by analyzing food records Akihisa Ishino, Hiroaki Karasawa, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) LOIS2020-10 IE2020-22 EMM2020-34 |
[more] |
LOIS2020-10 IE2020-22 EMM2020-34 pp.31-36 |
LOIS |
2020-03-12 09:50 |
Okinawa |
Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Analysis of meal records for understanding eating habits using large-scale recipe dataset Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-70 |
Nutrition management is very important for athletes, but difficult for amateur athletes who are not supervised by a diet... [more] |
LOIS2019-70 pp.79-84 |
LOIS, IPSJ-DC |
2019-07-17 14:00 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Athlete diet analysis based on large scale recipe data and text-based diet records Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-2 |
For athletes, food management is very important for improving performance and maintaining the condition. However, it is ... [more] |
LOIS2019-2 pp.1-6 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:00 |
Hokkaido |
Hokkaido Univ. |
A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo) |
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more] |
|
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-15 13:15 |
Hokkaido |
Hokkaido Univ. |
Prediction and Evaluation of Long-Term Food Records Using Short-Term Food Records Akihiro Tsubakida, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log Inc) |
In order to maintain and improve health, it is very important to grasp one's eating habits in his/her everyday life. How... [more] |
|
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-15 13:30 |
Hokkaido |
Hokkaido Univ. |
Meal Image Recognition for Supporting Athletes Masashi Anzawa, Sosuke Amano, Yoko Yamakata (UT), Keiko Motonaga, Akiko Kamei (JISS), Kiyoharu Aizawa (UT) |
[more] |
|
DE, CEA, IPSJ-DBS |
2017-12-22 17:50 |
Tokyo |
National Institute of Informatics |
Flow-graph extraction from procedural text of cooking recipe in English Yoko Yamakata (Univ. Tokyo), Hirokuni Maeta (Cybozu, Inc.), Shinsuke Mori (Kyoto Univ.), John Carroll (Univ. Sussex) DE2017-29 |
[more] |
DE2017-29 pp.41-46 |
DE, CEA |
2016-12-01 09:55 |
Tokyo |
|
Automatic Dictionary Construction of Japanese Cooking Terminology using Cooking Recipe Dataset
-- On Calculating Word Distributional Similarity based on Processing History -- Yoko Yamakata (The Univ. of Tokyo), Hidetsugu Nanba (Hiroshima City Univ.), Tomoko Ohsuga (NII), Jun Harashima (Cookpad Inc.), Yasuhiro Tajima (Okayama Pref. Univ.), Shinsuke Mori (Kyoto Univ.), Keizo Oyama (NII) DE2016-23 |
[more] |
DE2016-23 pp.13-18 |
DE |
2015-09-25 17:20 |
Kanagawa |
|
Utilization of workflow extracted from procedural text of cooking recipe Yoko Yamakata, Takuya Kadowaki, Tetsuro Sasada (Kyoto Univ.), Shinji Imahori (Chuo Univ.), Shinsuke Mori (Kyoto Univ.) DE2015-34 |
[more] |
DE2015-34 pp.83-88 |
HCGSYMPO (2nd) |
2014-12-17 - 2014-12-19 |
Yamaguchi |
Kaikyo Messe Shimonoseki |
Action name ontology derived from procedural structure mapping between the recipes with the same food category Yoko Yamakata (Kyoto Univ.), Shinji Imahori (Nagoya Univ.), Tetsuro Sasada, Shinsuke Mori (Kyoto Univ.) |
(To be available after the conference date) [more] |
|
DE |
2014-09-10 13:50 |
Tokyo |
NII、12F Room1208, 1210 |
Recipe Situational Search Using Blog Data
-- Discovery of Situational Determinant in Recipe -- Takuya Kadowaki, Yoko Yamakata, Katsumi Tanaka (Kyoto Univ.) DE2014-25 |
In this study, we propose the method which discovers situational determinant in recipe and searches recipes suitable for... [more] |
DE2014-25 pp.13-18 |