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2020 IAPR Fellow

July 21, 2020

Xiaoming Liu named Fellow by IAPR

Xiaoming Liu, professor of computer science and engineering at Michigan State University, has been elected a Fellow of the International Association of Pattern Recognition (IAPR) and will be recognized at the International Conference on Pattern Recognition in Milan, Italy, in January.

Professor Xiaoming Liu is among the 0.25 percent named an IAPR Fellow this year.
Xiaoming Liu is among the select 0.25 percent named an IAPR Fellow this year.

Only 0.25 percent of all IAPR members are named IARP Fellows. In 2020, 23 new Fellows will be honored globally.

Liu is an internationally recognized expert of computer vision, pattern recognition, machine learning, and deep learning. He is the director of the MSU Computer Vision Lab, where his goal is to have human-level intelligence in computers through the use of cameras to see and understand the world.

“Cameras can see diverse scenes,” he explained, “so our research objects range from human faces and bodies, to urban scenes, plants, and medical imaging. Recent interests also include 3D perception in autonomous driving and defending against various digital image manipulations, such as deepfake."

Abdol-Hossein Esfahanian, chairperson of the MSU Department of Computer Science and Engineering (CSE), said the prestigious Fellow award is only presented every other year to acknowledge distinguished contributions to IAPR and the field of pattern recognition.

Xiaoming Liu directs MSU's  Computer Vision Lab.
Xiaoming Liu directs MSU's Computer Vision Lab.

“Dr. Xiaoming Liu is one of the most prominent researchers in the global computer vision community,” he said. “During the past 20 years, Xiaoming has developed a number of innovative and practical solutions to face recognition, constructing 3D face models from 2D images, face anti-spoofing, and real-time pedestrian detection for autonomous vehicles. His external research projects, presentations, and publications (h-index of 50 and over 10,000 citations) bring significant recognition to MSU.”

Overall, MSU has been domestically ranked #14 in the computer vision area for the past five years, according to CSRankings.

Liu joined the MSU faculty in August 2012. He previously worked as a research scientist at the Computer Vision Laboratory of GE Global Research.

His excellence in scholarly activities is represented by his many honors, including the 2018 Withrow Distinguished Scholar Award from the MSU College of Engineering.

In 2019, Xiaoming Liu helped host visitors from the Michigan Legislature during an MSU tour.
In 2019, Xiaoming Liu helped host visitors from the Michigan Legislature during an MSU tour.

Liu has been the seasoned area chair for many top-tier AI conferences, including IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), Europe Conference on Computer Vision (ECCV), Conference on Neural Information Processing Systems (NeurIPS), and International Conference on Learning Representations (ICLR).

He was the program chair of IEEE Winter Conference on Applications of Computer Vision (WACV) 2018, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) 2018.

He will be the program chair for IEEE Advanced Video and Signal-based Surveillance conference (AVSS) 2022, and general chair for IEEE Conference on Automatic Face and Gesture Recognition (FG) 2023. In addition, Liu serves as the associate editor of several journals, including the IEEE Transactions on Image Processing, Pattern Recognition and Pattern Recognition Letters.

He received his PhD degree in electrical and computer engineering from Carnegie Mellon University in 2004; a master’s degree in computer science at Zhejang University in China in 2000; and a bachelor’s degree in computer science at Beijing Information Technology Institute in China in 1997.

Liu is the second faculty member in the MSU Department of Computer Science and Engineering to be named an IAPR Fellow recently. Arun Ross, professor of computer science and engineering, received the highly regarded designation in 2018.