WELCOME TO THE HOMEPAGE OF HAIYUAN WU

INTRODUCTION TO THE RESEARCH OF HAIYUAN WU

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A Biographic Sketch.
 
May in 2020.
Name Haiyuan WU
Birth In Wuxi, Jiangsu, China.
Education B.S. and M.S. of Control from Xi'an Jiaotong University, China. 1984 and 1987.
Doctor Degree Doctor of Engineering from the Department of Systems Engineering, Osaka University, November. 1997.
Affiliation Professor in Data Intelligence Education and Research Division, Wakayama University
Professor in Faculty of System Engineering, Wakayama University
Professor in Graduate School of Engineering Science, Osaka University
Research Area Pattern Recognition, Computer Vision, Human Interface.

>Main current research

   ・  SHAL: A feature descriptor which can extract personal feature from top-view image

   ・ A Local Multi-Layer Model for Tissue Classification of in-vivo Atherosclerotic Plaques in Intravascular Optical Coherence Tomography

  • A Person Re-Identification Method and Top-View System with Privacy Protection
   Japanese    Chinese

    The 7th Int. Conf. on Ubiquitous Robots and Ambient Intelligence 2010, (Best paper)

    情報処理学会(山下記念賞)

    システム制御情報学会(学会賞論文賞)    
SANYO-Xacti





        CitedBy 209


Award.
 
May in 2010.



Prize for Science and Technology by Xi'an Jiaotong University, China: 1st Class (1987).

Prize for Promoting the Science and Technology by Chinese National Education Committee: 2nd Class (1988).

Prize for Science and Technology by Xi'an Jiaotong University, China: 1st Class (1992).

Prize for Promoting the Science and Technology by Chinese National Education Committee: 3rd Class (1993).

Prize for Excellent Paper by 55th National Conference of Information Processing Society of Japan, (1998).

Prize for the Consul General of the People's Republic of China in Osaka, and Prize for Excellent Paper by 4th Conference of Product Report of China students in Japan, (1999).
Prize for excellence of interactive section by meeting on image recognition and understanding, in Japan, (2005).

Prize for paper by the Institute of Systems, Control and Information Engineers, Japan, (2009).

The 7th Int. Conf. on Ubiquitous Robots and Ambient Intelligence, (Bast paper) (2010).


For WuHaiyuan


For Ren

For Zhang





For SHAL:A feature descriptor which can extract personal feature from person’s top-view image

For SHAL: comparison results
For SHAL used image set


For Oku's detecting person region(Syuron)

For Oku's detecting person region(Move)

For OiF: Good Registration(Move)
For OiF: Good Re-identification(Move)

For Siciety5.0A
For Siciety5.0P


For XianJiaotongUASR


For Suzuki@D



For Ruan@Omuron


For K-Computer


For Stan Z. Li@China

For Springer@China

Chen Hai Xi

return
wuhy@wakayama-u.ac.jp

Send email to me.