Point Cloud Processing

PolarStream: Streaming Object Detection and Segmentation with Polar Pillars NeurIPS 2021 Predator: Registration of 3D Point Clouds With Low Overlap CVPR 2021 PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks CVPR 2021 Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021 RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction CVPR 2021 SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation CVPR 2021 Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models CVPR 2021 Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion CVPR 2021 Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds CVPR 2021 SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition CVPR 2021 Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion AAAI 2021 StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks CVPR 2021 Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion CVPR 2021 Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges CVPR 2021 UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering CVPR 2021 Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing CVPR 2021 3D Shape Completion with Multi-View Consistent Inference AAAI 2020 ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020 Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020 Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects CVPR 2020 Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis CVPR 2020 D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features CVPR 2020 Density-Based Clustering for 3D Object Detection in Point Clouds CVPR 2020 End-to-End 3D Point Cloud Instance Segmentation Without Detection CVPR 2020 Going Deeper With Lean Point Networks CVPR 2020