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Automatic Food Calorie Estimation from Photos Employing Deep Learning and Food-related Knowledge on the Web

Research Project

Project/Area Number 17H01745
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Multimedia database
Research InstitutionThe University of Electro-Communications

Principal Investigator

Yanai Keiji  電気通信大学, 大学院情報理工学研究科, 教授 (20301179)

Co-Investigator(Kenkyū-buntansha) 大河原 一憲  電気通信大学, 大学院情報理工学研究科, 准教授 (30631270)
Project Period (FY) 2017-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥18,850,000 (Direct Cost: ¥14,500,000、Indirect Cost: ¥4,350,000)
Fiscal Year 2019: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2018: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2017: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
Keywords食事画像認識 / 食事画像変換 / 深層学習 / 食事AR / カロリー量推定 / 食事自動診断 / 自動食事診断
Outline of Final Research Achievements

In this study, we mainly studied the following five points to achieve highly accurate estimation of the amount of calories and nutrients in meals from photographs by using Web big data and deep learning. (1) Multi-task CNN-based calorie estimation for single-item meal images. (2) Individual meal calorie estimation for multiple meal images. (3) Realization of meal detection using region segmentation and rectangles, and creation of datasets for this purpose. (3) 3D meal shape estimation. We implemented 3D meal shape estimation for more accurate meal volume estimation. (4) High-Resolution food image translation using a large-scale Web food images and its application to food AR. (5) A new weakly-supervised region segmentation method is proposed and applied into food domain.

Academic Significance and Societal Importance of the Research Achievements

本研究は,画像認識技術および深層学習技術を用いた画像ベースの食事画像分析技術の実用化を目指した高精度化を目的としており,そのための技術開発および学習データセットの構築を行った.個々の技術開発に加えて,現状,ほとんど公開データが存在していない,食事の領域分割データセットや3Dモデル食事データセットを構築・公開することで,世界の研究コミュニティに対しても貢献を行っている.

Report

(4 results)
  • 2020 Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (78 results)

All 2020 2019 2018 2017

All Journal Article (8 results) (of which Peer Reviewed: 8 results,  Open Access: 3 results) Presentation (70 results) (of which Int'l Joint Research: 37 results,  Invited: 1 results)

  • [Journal Article] Simultaneous Estimation of Dish Locations and Calories with Multi-Task Learning2019

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E102.D Issue: 7 Pages: 1240-1246

    • DOI

      10.1587/transinf.2018CEP0004

    • NAID

      130007671316

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2019-07-01
    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Webly-Supervised Food Detection with Foodness Proposal2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E102.D Issue: 7 Pages: 1230-1239

    • DOI

      10.1587/transinf.2018CEP0001

    • NAID

      130007671323

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2019-07-01
    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Weakly Supervised Semantic Segmentation Using Distinct Class Specific Saliency Maps2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Journal Title

      Computer Vision and Image Understanding

      Volume: - Pages: 102712-102712

    • DOI

      10.1016/j.cviu.2018.08.006

    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Journal Title

      Proc. of IEEE/CVF International Conference on Computer Vision (ICCV)

      Volume: - Pages: 5208-5217

    • DOI

      10.1109/iccv.2019.00531

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Enchanting Your Noodles: A Gustatory Manipulation Interface by Using GAN-based Real-time Food-to-Food Translation2019

    • Author(s)
      Kizashi Nakano, Daichi Horita, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai and Takuji Narumi
    • Journal Title

      Proc. of IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

      Volume: - Pages: 1339-1340

    • DOI

      10.1109/vr.2019.8798324

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Image-search-based Food Calorie Estimation with CNN Feature Learning2018

    • Author(s)
      會下拓実, 下田和, 柳井啓司
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J101-D Issue: 8 Pages: 1099-1109

    • DOI

      10.14923/transinfj.2017IUP0009

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2018-08-01
    • Related Report
      2018 Annual Research Report 2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Image-Based Food Calorie Estimation Using Recipe Information2018

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E101.D Issue: 5 Pages: 1333-1341

    • DOI

      10.1587/transinf.2017MVP0027

    • NAID

      130006729787

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2018-05-01
    • Related Report
      2018 Annual Research Report 2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Style-based Artistic Image Retrieval Using Neural Style Vector2017

    • Author(s)
      松尾真, 柳井啓司
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J100-D Issue: 8 Pages: 742-749

    • DOI

      10.14923/transinfj.2016IUT0002

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2017-08-01
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Presentation] CalorieCaptorGlass: Food Calorie Estimation based on Actual Size using HoloLens and Deep Learning2020

    • Author(s)
      Shu Naritomi and Keiji Yanai
    • Organizer
      Proc. of IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) (demo)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 映像・音・センサー情報の統合によるレスキュー犬の1人称行動認識2020

    • Author(s)
      井出佑汰, 荒木勇人, 濱田龍之介, 大野和則, 柳井啓司
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 意味と形状の分離によるマルチモーダルレシピ検索及び画像生成2020

    • Author(s)
      杉山 優, 柳井啓司
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] ラーメンスタイルエンコーダーを用いたスタイル特徴とマスク画像からの画像生成2020

    • Author(s)
      趙 宰, 下田 和, 柳井啓司
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Self-supervised Difference Detection for Refinement CRF and Seed Interpolation2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Organizer
      CVPR WS on Weakly Supervised Learning for Real-World Computer Vision Applications
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Analyzing Regional Food Trends with Geo-tagged Twitter Food Photos2019

    • Author(s)
      Kaimu Okamoto and Keiji Yanai
    • Organizer
      Proc. of International Conference on Content-Based Multimedia Indexing (CBMI)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Large-scale Twitter Food Photo Mining and Its Applications2019

    • Author(s)
      Keiji Yanai, Kaimu Okamoto, Tetsuya Nagano and Daichi Horita
    • Organizer
      International Conference on Multimedia Big Data (BIGMM)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] DepthCalorieCam: A Mobile Application for Volume-Based Food Calorie Estimation using Depth Cameras2019

    • Author(s)
      Yoshikazu Ando, Takumi Ege, Jaehyeong Cho, Keiji Yanai
    • Organizer
      ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice2019

    • Author(s)
      Takumi Ege, Wataru Shimoda, Keiji Yanai
    • Organizer
      ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN2019

    • Author(s)
      Daichi Horita, Wataru Shimoda, Keiji Yanai
    • Organizer
      ACMMM Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Ramen as You Like :Sketch-based Food Image Generation and Editing2019

    • Author(s)
      Jaehyeong Cho, Wataru Shimoda and Keiji Yanai
    • Organizer
      ACM Multimedia
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Zero-Annotation Plate Segmentation Using a Food Category Classifier and a Food/Non-Food Classifier2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Organizer
      ICCV Workshop on Multi-Discipline Approach for Learning Concepts (MDALC)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Self-supervised Difference Detection for Weakly-supervised Semantic Segmentation2019

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Organizer
      IEEE/CVF International Conference on Computer Vision (ICCV)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Dog-Centric Activity Recognition by Integrating Appearance, Motion and Sound2019

    • Author(s)
      Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, and Keiji Yanai
    • Organizer
      ICCV Workshop on Egocentric Perception Interaction and Computing (EPIC)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Continual Learning of An Image Transformation Network Using Task-dependent Weight Selection Masks2019

    • Author(s)
      Asato Matsumoto and Keiji Yanai
    • Organizer
      Asian Conference on Pattern Recognition (ACPR)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] SSA-GAN: End-to-End Time-Lapse Generation with Spatial Self-Attention2019

    • Author(s)
      Daichi Horita and Keiji Yana
    • Organizer
      Asian Conference on Pattern Recognition (ACPR)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 自己教師あり学習による変化領域の推論を活用した弱教師あり領域分割2019

    • Author(s)
      下田 和, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 米飯を基準としたCNNによる食事画像からのカロリー量推定2019

    • Author(s)
      會下 拓実, Jaehyeong Cho, 松平 礼史, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Ramen as You Like2019

    • Author(s)
      Jaehyeong Cho, Wataru Shimoda, Keiji Yanai
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] レスキュー犬の一人称動画を用いた動作推定2019

    • Author(s)
      荒木 勇人, 井出 佑汰, 濱田 龍之介, 大野 和則, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] DepthCalorieCam: 深度カメラと深層学習による自動食事カロリー量推定システム2019

    • Author(s)
      安蒜 祥和, 會下 拓実, 岡本 開夢, 泉 裕貴, Jaehyeong Cho, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 大量のTwitter位置情報付き画像を用いた世界各地域における食事傾向分析2019

    • Author(s)
      岡本 開夢, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Identityと化粧Styleの分離による顔画像変換2019

    • Author(s)
      五味 京祐, 越野 誠也, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 重み選択マスクを用いた画像変換ネットワークの連続学習2019

    • Author(s)
      松本 晨人, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] SSA-GAN: Cloud Video Generation from a Single Image with Spatial Self-Attention Generative Adversarial Networks2019

    • Author(s)
      Daichi Horita, Keiji Yanai
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] ウミネコ動画の自動分析2019

    • Author(s)
      井出 佑汰, 水谷 友一, 依田 憲, 柳井 啓司
    • Organizer
      電子情報通信学会 食メディア研究会 (CEA)
    • Related Report
      2019 Annual Research Report
  • [Presentation] ONNX2MPSNNGraph: モバイル深層学習コードジェネレータの実装と評価2019

    • Author(s)
      泉 裕貴, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 皿領域の推論を活用した食事の弱教師あり領域分割2019

    • Author(s)
      下田和, 柳井啓司
    • Organizer
      電子情報通信学会 食メディア研究会 (CEA)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 食事画像領域分割データセットの作成とその活用2019

    • Author(s)
      岡本開夢, Cho Jaehyeong, 會下拓実, 柳井啓司
    • Organizer
      電子情報通信学会 食メディア研究会 (CEA)
    • Related Report
      2019 Annual Research Report
  • [Presentation] A Large-scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features2019

    • Author(s)
      Tetsuya Nagano, Takumi Ege, Wataru Shimoda and Keiji Yanai
    • Organizer
      Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation2019

    • Author(s)
      Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai
    • Organizer
      Proc. of IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 米飯画像の実寸推定に基づく面積を考慮したカロリー量推定2019

    • Author(s)
      會下 拓実,柳井 啓司
    • Organizer
      データ工学と情報マネジメントに関するフォーラム (DEIM)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深度付き画像と深層学習による食事カロリー量推定システムの開発2019

    • Author(s)
      安蒜 祥和,會下 拓実,柳井 啓司
    • Organizer
      データ工学と情報マネジメントに関するフォーラム (DEIM)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 画像変換ネットワークによる連続学習2019

    • Author(s)
      松本 晨人,柳井 啓司
    • Organizer
      データ工学と情報マネジメントに関するフォーラム (DEIM)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 位置情報付きTwitter画像を用いた世界の食事傾向分析2019

    • Author(s)
      岡本 開夢,柳井 啓司
    • Organizer
      データ工学と情報マネジメントに関するフォーラム (DEIM)
    • Related Report
      2018 Annual Research Report
  • [Presentation] Conditional GANによる化粧顔画像変換2019

    • Author(s)
      五味 京祐,柳井 啓司
    • Organizer
      データ工学と情報マネジメントに関するフォーラム (DEIM)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 変化領域の推測による弱教師あり領域分割の精度向上2019

    • Author(s)
      下田 和, 柳井 啓司
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深層学習による太陽画像からの太陽黒点数の推定2019

    • Author(s)
      樋口陽光, 會下拓実, 柳井啓司
    • Organizer
      電子情報通信学会 総合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Multi-task Learning of Dish Detection and Calorie Estimation2018

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Organizer
      Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Food Category Transfer with Conditional Cycle GAN and a Large-scale Food Image Dataset2018

    • Author(s)
      Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai
    • Organizer
      Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Food Image Generation using A Large Amount of Food Images with Conditional GAN: RamenGAN and RecipeGAN2018

    • Author(s)
      Yoshifumi Ito, Wataru Shimoda and Keiji Yanai
    • Organizer
      Proc. of International Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Magical Rice Bowl: Real-time Food Category Changer2018

    • Author(s)
      Ryosuke Tanno, Daichi Horita, Wataru Shimoda and Keiji Yanai
    • Organizer
      ACM Multimedia, Demo Paper
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation2018

    • Author(s)
      Ryosuke Tanno, Takumi Ege, Keiji Yanai
    • Organizer
      ACM Symposium on Virtual Reality Software and Technology (VRST)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] CNN-based Photo Transformation for Improving Attractiveness of Ramen Photos2018

    • Author(s)
      Daichi Horita, Jaehyeong Cho, Takumi Ege, Keiji Yanai
    • Organizer
      ACM Symposium on Virtual Reality Software and Technology (VRST)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Word-Conditioned Image Style Transfer2018

    • Author(s)
      Yu Sugiyama and Keiji Yanai
    • Organizer
      Proc. of ACCV Workshop on AI Aesthetics in Art and Media (AIAM)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer2018

    • Author(s)
      Atsushi Narusawa, Wataru Shimoda, and Keiji Yanai
    • Organizer
      Proc. of ACCV Workshop on AI Aesthetics in Art and Media
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Real-Time Image Classification and Transformation Apps on iOS by "Chainer2MPSNNGraph"2018

    • Author(s)
      Yuki Izumi, Daichi Horita, Ryosuke Tanno and Keiji Yanai
    • Organizer
      Proc. of NIPS WS on Machine Learning on the Phone and other Consumer Devices (MLPCD)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Continual Learning for an Encoder-Decoder CNN Using "Piggyback"2018

    • Author(s)
      Asato Matsumoto and Keiji Yanai
    • Organizer
      Proc. of NIPS Continual Learning Workshop
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] CNN-based Food Transformation on HoloLens2018

    • Author(s)
      Shu Naritmo, Ryosuke Tanno, Takumi Ege, and Keiji Yanai
    • Organizer
      Proc. of International Workshop on Interface and Experience Design with AI for VR/AR (DAIVAR)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 深層学習による質感文字生成2018

    • Author(s)
      成沢 淳史, 下田 和, 柳井 啓司
    • Organizer
      人工知能学会全国大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 画像内容を考慮した質感表現に基づく画像変換2018

    • Author(s)
      杉山 優, 柳井 啓司
    • Organizer
      人工知能学会全国大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 大量のTwitter画像を用いたConditional Cycle GANによる食事写真カテゴリ変換2018

    • Author(s)
      堀田 大地, 成冨 志優, 丹野 良介, 下田 和, 柳井 啓司
    • Organizer
      人工知能学会全国大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 教師情報に含まれるノイズに堅牢な弱教師あり領域分割手法2018

    • Author(s)
      下田 和, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] CNNによる料理検出とカロリー量推定のマルチタスク学習2018

    • Author(s)
      會下 拓実, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 単語情報を利用した画像の質感転送2018

    • Author(s)
      杉山 優, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] Chainer2MPSGraph: 高速深層学習 モバイルアプリ作成のためのモデルコンバータ2018

    • Author(s)
      泉 裕貴, 堀田 大地, 丹野 良介, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 画像マイニングを用いた Conditional Cycle GAN による食事画像変換2018

    • Author(s)
      堀田 大地, 丹野 良介, 下田 和, 柳井 啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] CNNを用いた質感文字生成2018

    • Author(s)
      成沢淳史, 下田和, 柳井啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] AR 技術とモバイル深層学習を活用した 食事カロリー量推定2018

    • Author(s)
      丹野良介, 會下拓実, Jaehyeong Cho, 柳井啓司
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality2018

    • Author(s)
      Ryosuke Tanno and Keiji Yanai
    • Organizer
      the International Multimedia Modeling Conference (MMM)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Predicting Segmentation Easiness from the Consistency for Weakly-Supervised Segmentation2017

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Organizer
      Asian Conference on Pattern Recognition (ACPR)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating Food Calories for Multiple-dish Food Photos2017

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Organizer
      Asian Conference on Pattern Recognition (ACPR)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions2017

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Organizer
      ACM Multimedia Thematic Workshops on Understanding
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Comparison of Two Approaches for Direct Food Calorie Estimation2017

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Organizer
      International Workshop on Multimedia Assisted Dietary Management (MADIMA)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Partial Style Transfer Using Weakly-Supervised Semantic Segmentation2017

    • Author(s)
      Shin Matsuo, Wataru Shimoda and Keiji Yanai
    • Organizer
      ICME Workshop on Multimedia Artworks Analysis (MMArt)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Conditional Fast Style Transfer Network2017

    • Author(s)
      Keiji Yanai and Ryosuke Tanno
    • Organizer
      ACM International Conference on Multimedia Retrieval (ICMR)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Simultaneous Estimation of Food Categories and Calories with Multi-task CNN2017

    • Author(s)
      Takumi Ege and Keiji Yanai
    • Organizer
      IAPR International Conference on Machine Vision Applications (MVA)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Unseen Style Transfer Based on a Conditional Fast Style Transfer Network2017

    • Author(s)
      Keiji Yanai
    • Organizer
      International Conference on Learning Representation Workshop Track (ICLR WS)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Twitter Photo Geo-Localization Using Both Textual and Visual Features2017

    • Author(s)
      Shin Matsuo, Wataru Shimoda and Keiji Yanai
    • Organizer
      International Conference on Multimedia Big Data (BIGMM)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Learning Food Image Similarity for Food Image Retrieval2017

    • Author(s)
      Wataru Shimoda and Keiji Yanai
    • Organizer
      International Conference on Multimedia Big Data (BIGMM)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research

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Published: 2017-04-28   Modified: 2022-01-27  

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