Director of Research (if dissertation) or Advisor (if thesis)
Shi, Humphrey
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
3D Point Cloud, Deep Learning
Abstract
The development of practical applications, such as autonomous driving and robotics, has brought increasing attention to 3D point cloud understanding. However, while deep learning methods obtained remarkable success in 2D image tasks, deep models on point clouds still suffer from unique challenges in processing unstructured points with deep neural networks. This thesis reviews milestones and recent progress in different areas of point cloud learning, and proposes a uniform toolbox to help performance evaluation across models.
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