My research interest lies at the intersection of machine learning and computer vision, focusing on computational learning for understanding and predicting human behavior in an everyday environment. In this area, I boradly build machine learning algorithms for computer vision systems.
If you are interested in an internship position for human behavior prediction, please apply through this link with your CV (strong publication record preferred).
Work on understanding, analysis, and prediction of human behavior in traffic scenes as well as indoor environments.
Devised a framework to select more valuable training data from a model perspective.
Worked on large-scale traffic scene understanding for Highly Automated Driving.
Mentors: Dr. Xiang Ma & Prof. Xin Chen
Specialization: deep learning, 3D vision, recognition, tracking
Committee members: Prof. Karthik Ramani, Prof. Stanley H. Chan, Prof. Mireille Boutin, Prof. Jeffrey M. Siskind
Specialization: 3D shape analysis (matching and registration)
Advisor: Prof. Suya You