About Me

Yusuke Sugano

Ph. D. in Information Science and Technology

Postdoctoral Researcher
Perceptual User Interfaces Group
Max Planck Institute for Informatics

Contact

sugano at mpi-inf.mpg.de

Max Planck Institute for Informatics
Campus E1 4
66123 Saarbrücken, Germany

Research Interests

  • Computer Vision, Human-Computer Interaction

Education and Work

  • 2010: Ph. D. in Information Science and Technology, The University of Tokyo
  • 2007: M. S. in Information Science and Technology, The University of Tokyo
  • 2005: B. Eng, Department of Information and Communication Engineering, The University of Tokyo
  • July 2010 – May 2014: Project Research Associate, The University of Tokyo
  • April 2010 – June 2010: Intern, Microsoft Research
  • October 2007 – March 2008: Intern, Microsoft Research Asia

Awards and Fellowships

  • December 2014: Outstanding Reviewer Award, International Conference on Computer Vision (ICCV), 2015
  • March 2015 – February 2017: Humboldt Research Fellowship for Postdoctoral Researchers
  • June 2014: Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

Professional Activities

  • Reviewer (Conferences):
    • CVPR (2012 – 2015)
    • ICCV (2013, 2015)
    • ECCV (2012 – 2016)
    • BMVC (2015 – 2016)
    • ACCV (2012, 2014)
    • ETRA (2012 – 2016)
    • FG (2013, 2015)
    • CHI (2014, 2015)
  • Reviewer (Journals):
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • International Journal of Computer Vision
    • IEEE Transactions on Image Processing
    • IEEE Transactions on Human-Machine Systems
    • IEEE Transactions on Multimedia
    • IEEE Transactions on Circuits and Systems for Video Technology
    • IEEE Signal Processing Letters
    • Image and Vision Computing
    • Machine Vision and Applications
    • EURASIP Journal on Advances in Signal Processing
  • Organizer:
  • Program committee:
    • International Workshop on Gaze Sensing and Interactions
    • The Thirteenth IAPR International Conference on Machine Vision Applications (MVA 2013)