Hiroshi Murase

To Japanese Web Page ..

POSITION :

Professor, Graduate School of Information Science, Nagoya University
IEEE Fellow

RESEARCH INTERESTS:

  • Image Recognition
  • - Pictures
  • Video recognition for driver assistance (Intelligent vehicle)
  • - Paper Award at ICPR2006 (2006/8/21)
  • Computer Vision
  • Object Recognition (Parametric Eigenspace Method)
  • Character Recognition (Candidate Lattice Method)
  • Visual Search (Active Search)
  • - What is Active Search?
  • Quick audio and video retrieval from long-time broadcast recordings or internet WEB
  • - (Time Series Active Search)
    - News Release (in Japasese) 1998/10/15
    - News Release (in Japanese) 2000/5/31

    BIOGRAPHY:

    He received the BEng, MEng, and PhD degrees in electrical engineering from Nagoya University, Japan. In 1980 he joined the Nippon Telegraph and Telephone Corporation (NTT). From 1992 to 1993 he was a visiting research scientist at Columbia University, New York. From 2003 he is a professor of Nagoya University, Japan. He was awarded the IEICEJ Shinohara Award in 1986, the Telecom System Award in 1992, the IEEE CVPR (Conference on Computer Vision and Pattern Recognition) Best Paper Award in 1994, the IPSJ Yamashita Award in 1995, the IEEE ICRA (International Conference on Robotics and Automation) Best Video Award in 1996, the Takayanagi Memorial Award in 2001, the IEICEJ Achievement Award in 2002, and the Ministry Award from the Ministry of Education, Culture, Sports, Science and Technology in 2003. Dr. Murase is IEEE Fellow, IEICEJ Fellow, and a member of the Information Processing Society of Japan.
    --> My resume is here.

    PUBLICATIONS:

    A list of papers.
     

    CONTACT ADDRESS:

    Graduate School of Information Science
    Nagoya University
    Furo-cho Chikusa-ku Nagoya-city
    464-8603 Japan
    .......
    FAX +81-52-789-3807
    .......
    Email:

    LINKS:

    Murase Lab. - Home Page (in Japanese)
    Graduate School of Information Science - Home Page (in Japanese)
    Nagoya University Home Page