Title:Face and People Identification
Date: Monday 1st Sept, 2014
Place: Informatics Teaching Lab (ITL) — Top floor meeting room
Speaker: Professor Stan Li, National Lab of Pattern Recognition, Chinese Academy of Sciences
Abstract: Face and people (pedestrian) identification has wide
applications in security, the Internet and beyond where people’s
identity is concerned. Recent progress in visual pattern recognition and
machine learning has advanced the technologies and made it possible for
practical applications. This talk will describe related work at the CAS
NLPR in advancing world leading algorithms, systems and practical
applications in the area.
Bio : Stan Z. Li, received his B.Eng from Hunan University, China, M.Eng
from National University of Defense Technology, China, and PhD degree
from Surrey University, UK. He is currently a professor at the National
Laboratory of Pattern Recognition and the director of the Center for
Biometrics and Security Research (CBSR), Institute of Automation
(CASIA), and the director of the Center for Visual Internet of Things
Research (VIOT), Chinese Academy of Sciences. He worked at Microsoft
Research Asia as a researcher from 2000 to 2004. Prior to that, he was
an associate professor at Nanyang Technological University, Singapore.
He is IEEE Fellow for his contributions to the fields of face
recognition, pattern recognition and computer vision.