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Computer Vision
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Processing
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Point Cloud Processing
302 directly classified papers
Papers per year
2006: 1
2013: 2
2014: 2
2015: 2
2016: 1
2017: 3
2018: 16
2019: 22
2020: 31
2021: 34
2022: 40
2023: 59
2024: 61
2025: 28
Papers
Self-Robust 3D Point Recognition via Gather-Vector Guidance
CVPR 2020
End-to-End 3D Point Cloud Instance Segmentation Without Detection
CVPR 2020
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
CVPR 2020
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
NIPS 2019
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations
NIPS 2019
Point-Voxel CNN for Efficient 3D Deep Learning
NIPS 2019
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2019
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image
CVPR 2019
TopNet: Structural Point Cloud Decoder
CVPR 2019
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
CVPR 2019
Associatively Segmenting Instances and Semantics in Point Clouds
CVPR 2019
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
CVPR 2019
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
CVPR 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
CVPR 2019
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
CVPR 2019
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
CVPR 2019
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
CVPR 2019
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
CVPR 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds
CVPR 2019
Octree Guided CNN With Spherical Kernels for 3D Point Clouds
CVPR 2019
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
CVPR 2019
Graph Attention Convolution for Point Cloud Semantic Segmentation
CVPR 2019
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
CVPR 2019
Geometric Multi-Model Fitting by Deep Reinforcement Learning
AAAI 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NIPS 2019
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