Computer vision, explainable machine learning, deep learning
Before coming to Oregon State University, Fuxin Li was a research scientist from the School of Interactive Computing, Georgia Institute of Technology, working with Dr. James M. Rehg. He obtained a Ph.D. degree in 2009 from the Institute of Automation, Chinese Academy of Sciences and has since held postdoctoral appointments in the University of Bonn and Georgia Institute of Technology. Li is interested in the intersection of deep learning and computer vision, especially 4 directions:1) Visual recognition from 3D point clouds; 2) segmentation/tracking in images/videos; 3) Uncertainty estimation in deep learning; 4) Explainable deep learning. He and his colleagues have won the prestigious PASCAL Visual Object Recognition challenge in Segmentation from 2009-2012 and the 4th place in the DAVIS 2017 Video Object Segmentation Challenge. He has won the NSF CAREER award, an Amazon Research Award, a Microsoft research award, the College of Engineering Research Award and two best reviewer awards.