Dr. Fuxin Li
Fuxin Li, Ph.D.
is Assistant Professor in the School of Electrical Engineering and
Computer Science at the Oregon State University.
Fuxin’s research direction is machine learning and computer vision, with a major interest in using and designing new machine learning algorithms to attack the structural data in images and videos, especially big data originating from videos.
His papers include Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression, Multiple Hypothesis Tracking Revisited, The Middle Child Problem: Revisiting Parametric Min-cut for Robust Object Proposals, Robust Video Segment Proposals with Painless Occlusion Handling, GASP: Geometric Association with Surface Patches, Joint Semantic Segmentation and 3D Reconstruction from Monocular Video, RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions, and Video Segmentation by Tracking Many Figure-Ground Segments.
Fuxin earned his B.S. in Computer Science and Engineering at Zhejiang University in 2001. He earned his Ph.D. in Pattern Recognition and Intelligent Systems at the Institute of Automation – Chinese Academy of Sciences in 2008.
Read his Google+ profile, Google Scholar profile, and LinkedIn profile.