CCBR 2017 深圳






Michel Valstar

Associate Professor, University of Nottingham

  Biography:Michel Valstar ( is an associate professor at the University of Nottingham, and member of both the Computer Vision and Mixed Reality Labs. He received his masters' degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial College London in 2008, and he was a Visiting Researcher at MIT's Media Lab. He works in the fields of computer vision and pattern recognition, where his main interest is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. He is the founder of the facial expression recognition challenges (FERA 2011/2015/2017), and the Audio-Visual Emotion recognition Challenge series (AVEC 2011-2017). He is the coordinator of the EU Horizon2020 project ARIA-VALUSPA, which will build the next generation virtual humans, deputy director of the 6M£ Biomedical Research Centre's Mental Health and Technology theme, and recipient of Melinda & Bill Gates Foundation funding to help premature babies survive in the developing world, which won the FG 2017 best paper award. His work has received popular press coverage in, among others, Science Magazine, The Guardian, New Scientist and on BBC Radio. He has published over 50 peer-reviewed papers at venues including PAMI, CVPR, ICCV, SMC-Cybernetics, and Transactions on Affective Computing (h-index 32, >5500 citations).
   Title:The Computational Face - Facial Expression Recognition and its Application to Monitoring Medical Conditions
   Abstract: In this talk I will present recent advances in Facial Expression Analysis made by my team at the University of Nottingham. In particular, I will present work on the following topics, all of which will be included in my upcoming book 'The Computational Face':

1). Facial Point Localisation/Face Alignment - discussing our ground-breaking work on direct-diplacement based point detection and incremental continuous cascaded regression, published in TPAMI 2017

2). Facial Expression Analysis - our latest facial expression recognition research using Multi-task learning, and dynamic deep learning to create systems that can easily be adapted to new application areas to attain state of the art performance.

3). Behaviomedics - a novel area of using affective computing and social signal processing to help diagnose, monitor, and treat medical conditions that alter expressive behaviour, including recent work on automatic depression detection.




  Biography:刘青山博士现任南京信息工程大学教授,信息与控制学院院长,博士生导师,江苏省大数据分析技术重点实验室主任,IEEE高级会员。2000年4月毕业于中科院自动化所模式识别国家重点实验室获博士学位,随后留实验室工作,2006年4月赴美国Rutgers大学访问、工作。2011年9月加盟南京信息工程大学。主要研究方向为图像与视频分析、计算机视觉、和机器学习。现已在国内外学术期刊和国际会议上发表论文140余篇,其中IEEE Transaction汇刊和CCF A类会议论文50余篇,Google Scholar统计引用近5000次。2011年入选江苏省特聘教授,2012年入选教育部新世纪人才,同年获首届江苏省杰出青年基金资助,2013年入选江苏省双创个人,2014年入选江苏省双创团队领军人才,2016年荣获江苏省优秀教育工作者。先后主持承担了国家自然基金项目4项,其中国家自然基金重点项目1项,以第一完成人获2016年度教育部自然科学二等奖。受邀担任国际学术期刊《NeuroComputing》、《Signal Processing》编委,长期受邀担任20余种国际知名学术期刊的审稿人,参与组织国际学术会议10余次,是中国视觉与学习青年论坛(Valse)组织发起人,江苏省人工智能学会副理事长等。




Kenneth Brownlee


  Biography:Kenneth Brownlee, who obtained his B.S in Electrical Engineering from Yale University, is a world-renowned expert and the inventor of the first commercial biometrics fingerprint reader design.As Director of ZKTeco Silicon Valley Biometric Laboratory,Mr. Brownlee’s current work focuses on up-to-date biometric technology researches including anti-fake, touch-less and high resolution. Previously, Mr. Brownlee served as CTO at Digital Persona Inc. and led the biometrics team pioneered the most successful commercial product lines of fingerprint readers. Prior to that, Mr. Brownlee contributed his professional knowledge in developing optoelectronic products at Hewlett-Packard.
   Title:Next Directions in Digital Identity



  Biography:个人简介:电子科技大学软件硕士,北京航空航天大学管理硕士,1989年开始IT职业生涯。1995年进入生物识别领域,多年来专注于生物识别技术的研发和推广应用,是目前生物识别行业重量级市场研究分析和咨询专家,国际生物识别行业权威媒体《BIometric Digest》特约记者和市场研究员,国内自动识别,安防及监控类媒体生物识别专题拟稿人,行业论坛常邀演讲嘉宾。 (Shape and build up the ecosystem in biometric industry)



  Biography:何召锋,博士,2010年毕业于中科院自动化研究所,2010年至2011年任职于北京航空航天大学计算机学院,2012年至今任北京中科虹霸科技有限公司副总经理。在PAMI、PR、CVPR等国际权威期刊和会议上发表论文20余篇,申请发明专利40余项。作为核心人员开发的虹膜图像处理算法分别在2008 年和2010 年获“国际虹膜识别算法公开竞赛”NICE-I和NICE-II第一名。现为ISO SC37 国际生物特征识别标准委员会、安标委生物特征识别标准委员会、信标委生物特征识别标准委员会委员。先后入选北京市“科技新星”、北京市“青年拔尖人才”、北京市“高层次创新创业人才支持计划”等人才计划,曾获中国计算机学会优秀博士论文奖、中科院优秀博士论文奖。