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Grid-based 3D Object Detection (Voxels & Pillars)

2021

  • Object DGCNN: 3D Object Detection using Dynamic Graphs (NeurIPS 21)

  • Center-based 3D Object Detection and Tracking (CVPR 21)

  • Voxel Transformer for 3D Object Detection (ICCV 21)

  • LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection (CVPR 21)

  • RAD: Realtime and Accurate 3D Object Detection on Embedded Systems (CVPRW 21)

  • AGO-Net: Association-Guided 3D Point Cloud Object Detection Network (T-PAMI 21)

  • CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud (AAAI 21)

  • Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection (AAAI 21)

  • Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud (ACM MM 21)

  • Integration of Coordinate and Geometric Surface Normal for 3D Point Cloud Object Detection (IJCNN 21)

  • PSANet: Pyramid Splitting and Aggregation Network for 3D Object Detection in Point Cloud (Sensors 21)

2020

  • Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization (NeurIPS 20)

  • HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection (CVPR 20)

  • Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection (CVPR 20)

  • DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes (CVPR 20)

  • Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots (ECCV 20)

  • SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds (ECCV 20)

  • Pillar-based Object Detection for Autonomous Driving (ECCV 20)

  • From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network (T-PAMI 20)

  • Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds (CoRL 20)

  • SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud (ICRA 20)

  • TANet: Robust 3D Object Detection from Point Clouds with Triple Attention (AAAI 20)

  • SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection (NeuroComputing 20)

  • Voxel-FPN: Multi-Scale Voxel Feature Aggregation for 3D Object Detection from LIDAR Point Clouds (Sensors 20)

  • BirdNet+: End-to-End 3D Object Detection in LiDAR Bird’s Eye View (ITSC 20)

  • 1st Place Solution for Waymo Open Dataset Challenge - 3D Detection and Domain Adaptation (arXiv 20)

  • AFDet: Anchor Free One Stage 3D Object Detection (arXiv 20)

2019

  • PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 19)

  • End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds (CoRL 19)

  • IoU Loss for 2D/3D Object Detection (3DV 19)

  • Accurate and Real-time Object Detection based on Bird’s Eye View on 3D Point Clouds (3DV 19)

  • Focal Loss in 3D Object Detection (RA-L 19)

  • 3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud (Sensors 19)

  • FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds (CISP 19)

  • Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection (arXiv 19)

  • Patch Refinement - Localized 3D Object Detection (arXiv 19)

2018

  • VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (CVPR 18)

  • PIXOR: Real-time 3D Object Detection from Point Clouds (CVPR 18)

  • SECOND: Sparsely Embedded Convolutional Detection (Sensors 18)

  • RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving (RA-L 18)

  • BirdNet: a 3D Object Detection Framework from LiDAR Information (ITSC 18)

  • YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCVW 18)

  • Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds (ECCVW 28)

2017 or earlier

  • 3D Fully Convolutional Network for Vehicle Detection in Point Cloud (IROS 17)

  • Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks (ICRA 17)

  • Vehicle Detection from 3D Lidar Using Fully Convolutional Network (RSS 16)

  • Voting for Voting in Online Point Cloud Object Detection (RSS 15)