Bilkent University
Department of Computer Engineering


Exploring Temporal Dynamics of Facial Behavior


Dr. Hamdi Dibekliolu
Delft University of Technology, The Netherlands

While the majority of earlier studies in face analysis rely solely on static appearance, temporal analysis of expressions reveals interesting patterns. By exploiting temporal patterns, the current state of automatic face analysis goes far beyond recognizing basic expressions and identity. Our recent findings show that the use of temporal dynamics of expressions can benefit a large variety of tasks from assessing mental health to the estimation of taste appreciation and the verification of kin relations. In this talk, I will discuss how we can capture and model discriminative temporal characteristics of expressions, leading to a more reliable analysis of facial behavior.

Bio: Hamdi Dibeklioglu received the B.Sc. degree from Yeditepe University in 2006, the M.Sc. degree from Bogazici University in 2008, and the Ph.D. degree from the University of Amsterdam in 2014. He is currently a Post-Doctoral Researcher with the Pattern Recognition and Bioinformatics Group, Delft University of Technology, The Netherlands. He is also a Research Affiliate with the Computer Vision Group, University of Amsterdam. Earlier, he was a Visiting Researcher at Carnegie Mellon University, University of Pittsburgh, and Massachusetts Institute of Technology. His research focuses on affective computing, computer vision, and pattern recognition. Dr. Dibeklioglu is a Program Committee Member for several top tier conferences in these areas. He was a Co-chair for the Netherlands Conference on Computer Vision 2015, and a Local Arrangements Co-chair for the European Conference on Computer Vision 2016. He served on the Local Organization Committee of the eNTERFACE Workshop on Multimodal Interfaces, in 2007 and 2010.


DATE: 10 April 2017, Monday @ 13:40