Hang Su

Hang Su is a research scientist in the Learning and Perception Research (LPR) team of NVIDIA Research. He completed his Ph.D. study in the Computer Vision Lab at UMass Amherst, advised by Prof. Erik Learned-Miller. He obtained his master's degree in Computer Science from Brown University and his bachelor's degree in Intelligent Science and Technology from Peking University. His research interests are in the areas of computer vision, graphics, and machine learning, with a focus on representation learning techniques that bring together the strengths of 2D and 3D visual information.  His work on 3D shape recognition won first place in the SHREC '16 Large-Scale 3D Shape Retrieval Contest, and he is a recipient of a CVPR Best Paper Honorable Mention Award for his work on point cloud processing.

 

Personal Websitehttps://suhangpro.github.io/

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