Abstract     Description     Claims     Drawing  

Frustum pointnets for 3D object detection from RGB-D data   [0004] 
3D-SIS: 3D semantic instance segmentation of RGB-D scans   [0004] 
Generative shape proposal network for 3d instance segmentation in point cloud   [0005] 
Similarity group proposal network for 3d point cloud instance segmentation   [0006] 
Masc: Multi-scale affinity with sparse convolution for 3D instance segmentation   [0006] 
PointCNN: convolution on χ-transformed points   [0051] 
Pointnet: Deep learning on point sets for 3d classication and segmentation   [0051] 
PointNet++: Deep hierarchical feature learning on point sets in a metric space   [0051] 
Pointgrid: A deep network for 3d shape understanding   [0051] 
Monte carlo convolution for learning on non-uniformly sampled point clouds   [0051] 
SpiderCNN: Deep learning on point sets with parameterized convolutional filters   [0051] 
Monte Carlo convolution for learning on non-uniformly sampled point clouds   [0082] 
Mask r-cnn   [0098]