• Topic: 3D ShapeNets: A Deep Representation for Volumetric Shapes
  • Speaker: Huaiwei Cong
  • Date: 10:00 A.M., Friday, Jul 29, 2016
  • Place: Room 1022
  • Abstract: This paper propose to represent a geometric 3D shape as a probability distribution of binary variables on a 3D voxel grid, using a Convolutional Deep Belief Network.