题      目：信工学院学术讲座：Large-pose Face Analysis: Alignment, Reconstruction, and Recognition

主  讲  人：  美国Michigan State University, Dr. Xiaoming Liu

时      间： 2017年12月14日上午9:30

地      点： 首师大北二区二层小会议室

主 办 单 位： 信息工程学院

报告摘要：

This talk focuses on three relevant research problems in analyzing faces with large poses: face alignment, reconstruction, and recognition. We start by presenting two lines of research that focus on estimating the 2D and 3D facial shape from unconstrained photos, respectively. We achieve 2D facial shape estimation by face alignment. Specifically, we develop a pose-invariant face alignment method that can align faces with arbitrary poses, by fitting a 3D face model via Convolutional Neural Network (CNN). We will also present a photometric stereo-based algorithm for unconstrained 3D face reconstruction - 3D facial shape estimation. For large-pose face recognition, we address the fundamental problem of matching a frontal-view face image with a profile-view face image, a task that human still outperforms machine in the era of deep learning. We develop a novel Generative Adversarial Network (GAN) to simultaneously learn pose-invariant identity features and synthesize face images with arbitrary pose. In the end, we will briefly overview other ongoing research efforts in the Computer Vision Lab at Michigan State University, including image super-resolution, pedestrian detection for autonomous driving, etc.

主讲人介绍：

Xiaoming Liu is an Assistant Professor at the Department of Computer Science and Engineering of Michigan State University. He received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2004. 

Before joining MSU in Fall 2012, he was a research scientist at General Electric (GE) Global Research. His research interests include computer vision, patter recognition, machine learning, biometrics and medical image analysis. At GE, he has actively directed a number of research programs totaling over $2 million with the role of project leader and principal investigator. As a co-author, he is a recipient of the Best Paper Honorable Mention Award at IEEE workshop on Biometrics 2009, the Best Student Paper Award at WACV 2012 and 2014, and BMVC Best Poster Award 2015. He is an Area Chair of a number of international conferences, including ICPR’12, ICB’13, WACV’14,’16, and FG’15. He has authored more than 90 scientific publications with over 3000 citations and H-index of 25, and has filed 22 U.S. patents.