Abstract： 

Face recognition has achieved great success and has been deployed in many applications in recent years. In this talk, he’ll first share his experience in face recognition research, along with the introduction of some face recognition applications. Then, some recent progress, especially deep learning methods in face recognition, including face detection, face alignment, face recognition will be introduced. Finally, a personal look into the future of face recognition will be presented.

Short Bio：

Zhen Lei is a professor at the Center for Biometrics and Security Research (CBSR) & National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. His research interest includes face recognition and video analytics. He has published over 140 papers in international journals and conferences. His work has been cited more than 10000 times (by Google Scholoar, with H-index: 52). He holds 11 invention patents and has drawn up 7 standards of public security. He received the Best Student Paper in ICB2006, 2014 and 2015, CCBR2017, the Best Paper in ICB2007, the Best Student Paper Honorable Mention in FG2013, the Best Student Paper Honorable Mention in ICME2018. He won the competition of (Semi-) Supervised Face Detection in Low Light Conditions in CVPR2019, won the facial micro-expression recognition competition in FG2017, won the 300-w face landmark localization held in ICCV2013, and won the face liveness detection in ICB2011 and 2013. In 2019, he has been awarded the IAPR Young Biometrics Investigator Award, given to a single researcher worldwide every two years under the age of 40, whose research work has a major impact in biometrics.

雷震，研究员，模式识别国家重点实验室,中国科学院自动化研究所。研究方向为生物特征识别（人脸识别），智能视频分析等领域，发表论文140余篇，其中包括计算机视觉与模式识别领域顶级期刊IEEE TPAMI，IJCV，图像处理领域顶级期刊IEEE TIP，计算机视觉和模式识别顶级会议ICCV, CVPR, ECCV等。Google Scholar文章引用次数超10000 次，H-index：52，授权发明专利11项，申请发明专利7项，撰写发布国家公共安全行业标准7项。获得ICB2006、2014、2015，CCBR2017最佳学生论文，ICB2007年最佳论文，FG2013最佳学生论文，ICME2018年最佳论文提名。获得CVPR2019低光照度人脸检测竞赛、FG2017人脸微表情识别、ICCV2013 300-w 人脸关键点定位和ICB2011和2013 人脸活体检测比赛冠军。获2019国际模式识别学会生物特征识别青年学者奖。