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英国布鲁内尔大学Hongying Meng教授学术报告通知
发布时间 : 2017-07-03     点击量:

  应云顶国际4008服务平台邀请,英国布鲁内尔大学Hongying Meng教授于2017年6月12日至7月12日访问我校,并在此期间做以下学术报告。

Senior Lecturer (Associate Professor) at Brunel University London

题目:Dynamic Modelling for Emotion Recognition

时间:2017年7月03日(星期一) 下午 2:30-4:30

地点:理科楼407

Abstract:

Emotion recognition from facial expression and other modalities has becoming a popular research topic in recent years due to multidiscipline collective efforts from researchers in computer science, psychology, and cognitive science. Artificial intelligence has made significant contribution for facial expression analysis that can be used for the design of advanced human machine interaction system, intelligent robots and computer games. It can also be used for human mental health and clinical diagnosis application such as shoulder pain, low back pain and depression. This talk will address the problem on how to capture emotion information from facial expressions and other modalities using advanced machine learning methods, especially on dynamic information modelling.

Bio:

Dr Hongying Meng is a Senior Lecturer in the Department of Electronic and Computer Engineering at Brunel University London, UK. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University in China. He is a Fellow of The Higher Education Academy (HEA) and a member of Engineering Professors’ Council (UK) and a Senior Member of IEEE. He has a wide research interests including digital signal processing, machine learning, human computer interaction, image processing and embedded systems. His present research focuses on image processing and machine learning for facial expression analysis. He has developed two different facial expression analysis systems that won the international challenge completions AVEC2011 (http://sspnet.eu/avec2011/) and AVEC2013 (http://sspnet.eu/avec2013/) respectively. In 2016, he was invited for a talk on Deep Learning for Facial Expression Analysis at Deep Learning Summit in London on Sept. 22 - 23. He has authored or co-authored more than 90 publications with more than 2700 citations already.

 

 

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