Ryo Yonetani, Ph.D.

Research Associate in the Institute of Industrial Science at the University of Tokyo

Technical Advisor at OMRON SINIC X Corporation (effective June 21, 2018)

mail: yonetani +at+ iis.u-tokyo.ac.jp | ryo.yonetani +at+ sinicx.com

» Introduction in Japanese

Call for Interns at OMRON SINIC X

OMRON SINIC X Corporation (OSX) is the OMRON’s brand-new start-up company located next to the University of Tokyo’s Hongo Campus, and is currently looking for intern students excellent in either computer vision, machine learning, or robotics. Accepted students will be offered a competitive salary (200k-400k JPY per month) with residence and travel supports. If you are interested in research stays in Tokyo, please feel free to contact internships@sinicx.com. More information available at: [Call for Interns].

Research Interest

Computer Vision (First-Person Vision), and Machine Learning (Federated Learning)

I like to use wearable cameras for various human sensing problems. Much of my recent work has focused on how we can utilize multiple wearable cameras collectively for analyzing group activities.

» Project: First-Person Vision with Multiple Wearable Cameras

» Datasets for First-Person Vision

I am also interested in decentralized training such as Federated Learning, which leverages highly-distributed clients for training deep neural networks while preserving data privacy.

» Project: Practical Considerations of Decentralized Training


  • (October 4, 2018) One paper accepted to ACM ISS.
  • (June 26, 2018) Released a demo code of the correlation-based person search presented in our TPAMI paper.
  • (June 19, 2018) We will organize a workshop on human attention and intention understanding in conjunction with ACCV’18. See you in Perth! [Workshop Website].
  • (April 24, 2018) We posted a new article to introduce our activities on decentralized training.
  • (April 24, 2018) We posted a new work on federated learning combined with mobile edge computing (project page)
  • (April 17, 2018) We have released a part of our data used in our ECCV’16 work at Datasets for First-Person Vision
  • (February 19, 2018) Our work on future localization has been accepted to CVPR’18! (Project page).
  • (February 19, 2018) One paper accepted to CHI’18 Late Breaking Work.
  • (February 16, 2018) I will serve as a program committee member for the CVPR2018 workshop on Challenges and Opportunities for Privacy and Security.
  • (January 10, 2018) We have updated [PEV dataset], a dataset of first-person videos recorded during dyadic conversations presented at CVPR’16.
  • (December 1, 2017) We posted a new work on future localization in first-person videos on arXiv (Project page).
  • (October 24, 2017) Our paper on people identification for first-person videos has been accepted to IEEE TPAMI.
  • (August 28, 2017) Our paper on multi-camera first person vision has been accepted to ICCV workshop.
  • (July 16, 2017) Our paper on privacy-preserving visual learning has been accepted to ICCV2017.
  • (May 31, 2017) We will present our work on privacy-preserving visual learning at CVPR workshop on Challenges and Opportunities for Privacy and Security.
  • (December 11, 2016) Our paper has been accepted to CHI2017.
  • (November 19, 2016) We will be organizing the First International Workshop on Human Activity Analysis with Highly Diverse Cameras at WACV2017.
  • (September 1, 2016) I will work as a visiting scholar at the CMU Robotics Institute for a year.
  • (July 12, 2016) Our paper has been accepted to ECCV2016.
  • (June 16, 2016) The extended version of our CVPR2015 work (ego-surfing first-person videos) is now available on the arXiv.
  • (May 17, 2016) I will be serving as an organizing committee member for IAPR MVA2017.
  • (April 20, 2016) Our paper has been accepted to EGOV2016.
  • (March 6, 2016) Our paper has been accepted to CVPR2016.
  • (January 18, 2016) I will be serving as a sponsorship chair for ICMI2016.
  • (January 15, 2016) Our paper has been accepted to CHI2016.