mlsanityData to 14 Oct 2026

Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding

arXiv 2301.04613 ↗First posted 11 Jan 2023cs.CVcited by 2

Not on the map. Why?

Abstract (arXiv)

We present an improved approach for 3D object detection in point cloud data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method considers the point neighborhood when computing point features. The newly introduced local neighborhood embedding operation mimics the convolutional operations in 2D neural networks. Thus features of each point are not only computed with the features of its own or of the whole point cloud but also computed especially with respect to the features of its neighbors. Experiments show that our proposed method achieves better performance than the F-Pointnet baseline on 3D object detection tasks.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 28 of its 38 references that are in the map. First posted on arXiv 11 Jan 2023.

Builds on

28 of 38 references.

References · 28

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  3. 2017Mask R-CNNcited by 7,277
  4. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  5. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  6. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  7. 2015Fast R-CNNcited by 2,933
  8. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,223
  9. 2018PointPillars: Fast Encoders for Object Detection from Point Cloudscited by 1,715
  10. 2017VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detectioncited by 1,323
  11. 2016A Point Set Generation Network for 3D Object Reconstruction from a Single Imagecited by 979
  12. 2018PointRCNN: 3D Object Proposal Generation and Detection from Point Cloudcited by 941
16 more
  1. 2018PointCNN: Convolution On X-Transformed Pointscited by 764
  2. 2016Multi-View 3D Object Detection Network for Autonomous Drivingcited by 724
  3. 2017Frustum PointNets for 3D Object Detection from RGB-D Datacited by 640
  4. 2019PIXOR: Real-time 3D Object Detection from Point Cloudscited by 358
  5. 2017Joint 3D Proposal Generation and Object Detection from View Aggregationcited by 326
  6. 2020Deep Continuous Fusion for Multi-Sensor 3D Object Detectioncited by 263
  7. 2016Volumetric and Multi-View CNNs for Object Classification on 3D Datacited by 240
  8. 2018PU-Net: Point Cloud Upsampling Networkcited by 209
  9. 2018SPLATNet: Sparse Lattice Networks for Point Cloud Processingcited by 158
  10. 2015Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Imagescited by 111
  11. 2016Vehicle Detection from 3D Lidar Using Fully Convolutional Networkcited by 107
  12. 2019Unsupervised Multi-Task Feature Learning on Point Cloudscited by 89
  13. 2018Recurrent Slice Networks for 3D Segmentation of Point Cloudscited by 82
  14. 20163D Fully Convolutional Network for Vehicle Detection in Point Cloudcited by 57
  15. 2018RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinementcited by 31
  16. 2019Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenescited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025NV3D: Leveraging Spatial Shape Through Normal Vector-based 3D Object Detectioncited by 0
  2. 2026Context-aware Bayesian Fusion for Multimodal Object Detectioncited by 0