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3D Object Detection with Mixed Representations

2022

  • Behind the Curtain: Learning Occluded Shapes for 3D Object Detection (AAAI 22)

2021

  • LiDAR R-CNN: An Efficient and Universal 3D Object Detector (CVPR 21)

  • PVGNet: A Bottom-Up One-Stage 3D Object Detector with Integrated Multi-Level Features (CVPR 21)

  • HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection (CVPR 21)

  • Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection (ICCV 21)

  • Improving 3D Object Detection with Channel-wise Transformer (ICCV 21)

  • SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection (ICCVW 21)

  • From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder (ACM MM 21)

  • RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting (IROS 21)

  • Pattern-Aware Data Augmentation for LiDAR 3D Object Detection (ITSC 21)

  • From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection (T-CSVT 21)

  • Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods (T-ITS 21)

  • Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data (T-ITS 21)

  • Improved Point-Voxel Region Convolutional Neural Network: 3D Object Detectors for Autonomous Driving (T-ITS 21)

  • DSP-Net: Dense-to-Sparse Proposal Generation Approach for 3D Object Detection on Point Cloud (IJCNN 21)

  • P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds (IEEE Access 21)

  • PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection (arXiv 21)

  • M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers (arXiv 21)

2020

  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection (CVPR 20)

  • Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 20)

  • Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution (ECCV 20)

  • InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling (ECCV 20)

  • SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds (arXiv 20)

2019

2018

  • LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR (ACIRS 18)