Trustworthy Face Recognition

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Abstract

In recent years we have witnessed increasingly diverse application scenarios of biometrics systems in our daily life, despite the societal concerns on some of the weakness of the technology. A sustainable deployment and prospects of biometrics systems will rely heavily on the ability to trust the recognition process and its output. As a result, in addition to striving for higher accuracies, trustworthy biometrics has become an emerging research area. In this lecture, we will take face recognition, a research field specialized on recognizing individuals based on the faces, as an example of biometrics subfield, and discuss various research problems in trustworthy face recognition, including topics such as security (e.g., presentation attack detection and forgery detection), biasness, adversarial robustness, and interpretable recognition. We will present some of the recent works on these topics and discuss the remaining issues warrant future research.

Biography

Dr. Xiaoming Liu is a Professor at the Department of Computer Science and Engineering of Michigan State University (MSU). He received Ph.D. degree from Carnegie Mellon University in 2004. Before joining MSU in 2012, he was a research scientist at General Electric (GE) Global Research. He works on computer vision, machine learning, and biometrics, especially on face related analysis. Since 2012, he helps to develop a strong computer vision area in MSU, who is ranked top 15 nationally according to the 5-year statistics at csrankings.org. He received the 2018 Withrow Distinguished Scholar Award from MSU. He has been Area Chairs for numerous conferences, including CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, the Co-Program Chair of BTAS’18, WACV’18, and AVSS’21 conferences, and Co-General Chair of FG’23 conference. He is an Associate Editor of Pattern Recognition Letters, Pattern Recognition, and IEEE Transaction on Image Processing. He has authored more than 150 scientific publications, and has filed 28 U.S. patents. His work has been cited over 10,000 times according to Google Scholar, with an H-index of 52. He is a fellow of IAPR.

Xiaoming Liu
Michigan State University, US