Ryosuke Tanno

email: r.tanno_at_ntt.com

Bio: I am a software engineer specializing in developing web applications and core machine learning algorithms. My research interests lie in the fields of Computer Vision and Machine Learning, with a particular focus on Multi-modal Deep Learning, including sensor, image, audio, and text data. Love Programming :)

Background: I graduated from the University of Electro-Communications with a Bachelor of Engineering in 2016, and completed my Master’s degree in the same field at the same university in 2018. In the same year, I joined NTT Communications Corporation, where I focused on research and development of time-series data analysis web applications, multi-modal deep learning, and AI talent development. In October 2024, I will begin my doctoral studies at Kyushu University, focusing on pattern recognition, educational data analytics, and the development of educational support systems.

Slides

Sep 28, 2024	PyCon JP2024：「Re:PandasAI：生成AIがデータ分析業務にもたらすパラダイムシフト【増補改訂版】」
May 25, 2024	PyCon Kyusyu2024：「PandasAI：生成AIがデータ分析業務にもたらすパラダイムシフト」
Feb 28, 2024	DEIM2024：「大規模言語モデルを活用したノーコードツールによるAI人材育成での学習体験の向上」

International Conferences

VRST

AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation

Ryosuke Tanno, Takumi Ege, and Keiji Yanai

In ACM Symposium on Virtual Reality Software and Technology (VRST), Nov 2018

demo

Bib

@inproceedings{Tanno2018AR,
  address = {Tokyo, Japan},
  author = {Tanno, Ryosuke and Ege, Takumi and Yanai, Keiji},
  booktitle = {ACM Symposium on Virtual Reality Software and Technology (VRST)},
  month = nov,
  note = {demo},
  title = {AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation},
  year = {2018}
}

ACM MM

Magical Rice Bowl: Real-time Food Category Changer

Ryosuke Tanno, Daichi Horita, Wataru Shimoda, and 1 more author

In Proc. of ACM Multimedia (ACM MM), Oct 2018

demo

Bib

@inproceedings{Tanno2018Magical,
  address = {Seoul, Korea},
  author = {Tanno, Ryosuke and Horita, Daichi and Shimoda, Wataru and Yanai, Keiji},
  booktitle = {Proc. of ACM Multimedia (ACM MM)},
  month = oct,
  note = {demo},
  title = {Magical Rice Bowl: Real-time Food Category Changer},
  year = {2018}
}

MMM

AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality

Ryosuke Tanno, and Keiji Yanai

In Proc. of the International Multimedia Modeling Conference (MMM), Feb 2018

poster

Bib

@inproceedings{Tanno2018ARDCC,
  address = {Bangkok, Thailand},
  author = {Tanno, Ryosuke and Yanai, Keiji},
  booktitle = {Proc. of the International Multimedia Modeling Conference (MMM)},
  month = feb,
  note = {poster},
  title = {AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality},
  year = {2018}
}

MADiMa

DeepCalorieCam: An iOS App for Dish Detection and Calorie Estimation

Ryosuke Tanno, Takumi Ege, and Keiji Yanai

In Proc. of ICIAP International Workshops on Multimedia Assisted Dietary Management (MADiMa), Sep 2017

demo

Bib

@inproceedings{Tanno2017DeepCalorieCam,
  address = {Catania, Italy},
  author = {Tanno, Ryosuke and Ege, Takumi and Yanai, Keiji},
  booktitle = {Proc. of ICIAP International Workshops on Multimedia Assisted Dietary Management (MADiMa)},
  month = sep,
  note = {demo},
  title = {DeepCalorieCam: An iOS App for Dish Detection and Calorie Estimation},
  year = {2017}
}

MMM

DeepStyleCam: A Real-time Style Transfer App on iOS

Ryosuke Tanno, and Keiji Yanai

In Proc. of International Conference on Multimedia Modelling (MMM), Jan 2017

demo

Awarded Bib

Best Demonstration Award

@inproceedings{Tanno2017DeepStyleCam,
  address = {Reykjavik, Iceland},
  author = {Tanno, Ryosuke and Yanai, Keiji},
  booktitle = {Proc. of International Conference on Multimedia Modelling (MMM)},
  month = jan,
  note = {demo},
  title = {DeepStyleCam: A Real-time Style Transfer App on iOS},
  year = {2017}
}

MUSICAL

Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications

Ryosuke Tanno, and Keiji Yanai

In International Workshop On Mobile Ubiquitous Systems, Infrastructures, Communications, And AppLications (MUSICAL 2016), Nov 2016

oral

Bib

@inproceedings{Tanno2016Caffe2C,
  address = {Hiroshima, Japan},
  author = {Tanno, Ryosuke and Yanai, Keiji},
  booktitle = {International Workshop On Mobile Ubiquitous Systems, Infrastructures, Communications, And AppLications (MUSICAL 2016)},
  month = nov,
  note = {oral},
  title = {Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications},
  year = {2016}
}

ECCV

DeepXCam: Very Fast CNN-based Mobile Applications: Multiple Style Transfer and Object Recognition

Ryosuke Tanno, Wataru Shimoda, and Keiji Yanai

In Proc. of the European Conference on Computer Vision (ECCV), Oct 2016

demo

Bib

@inproceedings{Tanno2016DeepXCam,
  address = {Amsterdam, Netherlands},
  author = {Tanno, Ryosuke and Shimoda, Wataru and Yanai, Keiji},
  booktitle = {Proc. of the European Conference on Computer Vision (ECCV)},
  month = oct,
  note = {demo},
  title = {DeepXCam: Very Fast CNN-based Mobile Applications: Multiple Style Transfer and Object Recognition},
  year = {2016}
}

MADiMa

DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System

Ryosuke Tanno, Koichi Okamoto, and Keiji Yanai

In Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa), Oct 2016

demo

Bib

@inproceedings{Tanno2016DeepFoodCam,
  address = {Amsterdam, Netherlands},
  author = {Tanno, Ryosuke and Okamoto, Koichi and Yanai, Keiji},
  booktitle = {Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management (MADiMa)},
  month = oct,
  note = {demo},
  title = {DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System},
  year = {2016}
}