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Point Cloud Processing

302 directly classified papers

Papers per year

Papers

Morphing and Sampling Network for Dense Point Cloud Completion AAAI 2020
3D Shape Completion with Multi-View Consistent Inference AAAI 2020
Group Contextual Encoding for 3D Point Clouds NIPS 2020
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment NIPS 2020
SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints AAAI 2020
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling AAAI 2020
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds CVPR 2020
SSRNet: Scalable 3D Surface Reconstruction Network CVPR 2020
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis CVPR 2020
Learning Multiview 3D Point Cloud Registration CVPR 2020
SampleNet: Differentiable Point Cloud Sampling CVPR 2020
Neural Point Cloud Rendering via Multi-Plane Projection CVPR 2020
Grid-GCN for Fast and Scalable Point Cloud Learning CVPR 2020
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification CVPR 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features CVPR 2020
Going Deeper With Lean Point Networks CVPR 2020
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling CVPR 2020
Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects CVPR 2020
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020
RPM-Net: Robust Point Matching Using Learned Features CVPR 2020
Neural Implicit Embedding for Point Cloud Analysis CVPR 2020
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020
Density-Based Clustering for 3D Object Detection in Point Clouds CVPR 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks CVPR 2020
Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020