点云组CVPR2018文章

CVPR2018

1.      Attentional ShapeContextNet for Point Cloud Recognition   李敏乐

2.      FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds          郑英林

3.      SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation          梁志栋

4.      SPLATNet: Sparse Lattice Networks for Point Cloud Processing    陈林卓

5.      A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds

6.      PU-Net: Point Cloud Upsampling Network     李炫毅

7.      Reflection Removal for Large-Scale 3D Point Clouds     李炫毅

8.      Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds        郑英林

9.      Learning 3D Shape Completion from Point Clouds with Weak Supervision    任乾

10.   Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs    云峰

11.   Recurrent Slice Networks for 3D Segmentation on Point Clouds 木木

12.   SO-Net: Self-Organizing Network for Point Cloud Analysis   

13.   Inverse Composition Discriminative Optimization for Point Cloud Registration   黄玉玺

14.   Pixar: Real-time 3D Object Detection from Point Clouds       木木

15.   A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation         蔡毅

16.   PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition 孔令升

17.   VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection          梁志栋

18.   Frustum PointNets for 3D Object Detection from RGB-D Data     范蓉蓉

19.   Point-wise Convolutional Neural Networks   云峰

20.   Hand PointNet: 3D Hand Pose Estimation using Point Sets 陈林卓

21.   PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation        蔡毅

22.   PointGrid: A Deep Network for 3D Shape Understanding      范蓉蓉

23.   PPFNet: Global Context Aware Local Features for Robust 3D Point Matching      徐二帅

24.   Density Adaptive Point Set Registration