Accepted Papers

Long Papers

  • Multimodal Dish Pairing: Predicting Side Dishes to Serve with a Main Dish
    Taichi Nishimura (Kyoto Univ.), Katushiko Ishiguro (Preferred Networks Inc.), Keita Higuchi (Preferred Networks Inc.), Masaaki Kotera (Preferred Networks Inc.)
  • Prediction of mental state from food images
    Kei Nakamoto (The Univ. of Tokyo), Sosuke Amano (foo.log Inc.), Hiroaki KARASAWA (Hongo Software Development), Yoko Yamakata (Univ. of Tokyo, Japan), Kiyoharu Aizawa (The Univ. of Tokyo)
  • Learning Sequential Transformation Information of Ingredients for Fine-Grained Cooking Activity Recognition
    Atsushi Okamoto (Osaka Metropolitan Univ.), Katsufumi Inoue (Osaka Metropolitan Univ.), Michifumi Yoshioka (Osaka Metropolitan Univ.)
  • Recipe Recommendation for Balancing Ingredient Preference and Daily Nutrients
    Sara Ozeki (Tokyo Univ. of Agriculture and Technology), Masaaki Kotera (Preferred Networks Inc.), Katushiko Ishiguro (Preferred Networks Inc.), Taichi Nishimura (Kyoto Univ.), Keita Higuchi (Preferred Networks)

Short Papers

  • ABLE: Aesthetic Box Lunch Editing
    Yutong Zhou (Ritsumeikan Univ.), Nobutaka Shimada (Ritsumeikan Univ.)
  • "Comparable Recipes": A construction and analysis of a dataset of recipes described by different people for the same dish
    Rina Kagawa (Univ. of Tsukuba), Rei Miyata (Nagoya Univ.), Yoko Yamakata (Univ. of Tokyo, Japan)
  • MIAIS: A Multimedia Recipe Dataset with Ingredient Annotation at Each Instructional Step
    Yixin Zhang (Kyoto Univ.), Yoko Yamakata (Univ. of Tokyo, Japan), Keishi Tajima (Kyoto Univ.)
  • Few-shot Food Recognition with Pre-trained Model
    Yanqi Wu (Fudan Univ.), Xue Song (Fudan Univ.), Jingjing Chen (Fudan Univ.)
  • Recipe Recording by Duplicating and Editing Standard Recipe
    Akihisa Ishino (The Univ. of Tokyo), Yoko Yamakata (Univ. of Tokyo, Japan), Kiyoharu Aizawa (The Univ. of Tokyo)