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 had since held postdoctoral appointments in the University of Bonn and Georgia Institute of Technology. Fuxin is interested in the intersection of deep learning and computer vision, especially 4 directions: 1) segmentation/tracking in images/videos; 2) Visual recognition from 3D point clouds; 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, two best reviewer awards.

Research Interests
I am broadly interested in many machine learning algorithms and applications. Most recently, my research interests are in computer vision and deep learning, especially segmentation-based object recognition and scene understanding. I have a significant interest in various problems that arise in video, e.g. object recognition, object tracking and segmentation. On the machine learning side, I am interested in deep learning models, structural learning, higher-order inference methods and weakly-supervised learning.