Dr. Yanxi Liu

Professor of EECS

Penn State University

Website

Human versus Machine Perception of Patterns or A visual Turing Test: “Are you a human or a robot?”

Dr. Yanxi Liu received her B.S. degree in physics/EE (Beijing, China), her Ph.D. degree in computer science on group theory applications in robotics (Massachusetts, US), and her postdoctoral training in the robotics lab of LIFIA/IMAG (Grenoble, France). With an NSF research-education fellowship award, she spent one year at DIMACS (NSF center for DIscrete MAthematics and Theoretical Computer Science). Dr. Liu worked for ten years up to an associate research professor at the Robotics Institute of Carnegie Mellon University (CMU) before joining the School of Electrical Engineering and Computer Science at Penn State University. She is now a full professor, a co-director of the lab for perception, action and cognition (LPAC), and the director of the Human Motion Lab of Taiji (Tai Chi) for Health. A central theme of Dr. Liu's research has been “computational regularity” driven by a group theoretical formalization with a diverse set of applications. In the past few years, Dr. Liu has led the “Symmetry group-based regularity perception in human and computer vision” project as the PI of a prestigious NSF CREATIV/INSPIRE grant, rewarding its fundamental creativity and multidisciplinary research. She is the leading author of “Computational Symmetry in Computer Vision and Computer Graphics” (NOW, 200 pages). She has been a visiting professor and taught a semesterlong graduate-level “Computational Symmetry” course at ETH (2016-2017), Tsinghua University (2015), and Stanford University (2013-2014). Her latest industrial collaborations with Microsoft Silicon Valley and Google Mountain View resulted in two granted patents on computational symmetry. More recently, Dr. Liu has served as a program co-chair for 2017 IEEE/CVF Computer Vision and Pattern Recognition (CVPR), the organizer and the co-chair for ICCV 2017 Computational Challenge on: Detecting Symmetry from Wild, co-program chair for WACV 2019 and an associate editor for IEEE Transactions of Pattern Analysis and Machine Intelligence (PAMI).