Skip to content

Latest commit

 

History

History
61 lines (31 loc) · 4.31 KB

sequential.md

File metadata and controls

61 lines (31 loc) · 4.31 KB
Raw

Temporal 3D Object Detection

2022

  • Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds (AAAI 22)

2021

  • PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars (NeurIPS 21)

  • Offboard 3D Object Detection from Point Cloud Sequencess (CVPR 21)

  • 3D-MAN: 3D Multi-frame Attention Network for Object Detection (CVPR 21)

  • 4D-Net for Learned Multi-Modal Alignment (ICCV 21)

  • Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds (T-PAMI 21)

  • LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting (RA-L 21)

  • VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences (ICRA 21)

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

  • LiDAR-based 3D Video Object Detection with Foreground Context Modeling and Spatiotemporal Graph Reasoning (ITSC 21)

  • Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving (T-CSVT 21)

  • Auto4D: Learning to Label 4D Objects from Sequential Point Clouds (arXiv 21)

2020

  • STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction (CVPR 20)

  • LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention (CVPR 20)

  • An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds (ECCV 20)

  • Streaming Object Detection for 3-D Point Clouds (ECCV 20)

  • Kinematic 3D Object Detection in Monocular Video (ECCV 20)

  • STROBE: Streaming Object Detection from LiDAR Packets (CoRL 20)

  • 3D Object Detection and Tracking Based on Streaming Data (ICRA 20)

  • 3D Object Detection For Autonomous Driving Using Temporal Lidar Data (ICIP 20)

  • Deep SCNN-Based Real-Time Object Detection for Self-Driving Vehicles Using LiDAR Temporal Data (IEEE Access 20)

2019

  • 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks (CVPR 19)

  • Joint Monocular 3D Vehicle Detection and Tracking (ICCV 19)

2018

  • Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net (CVPR 18)

  • YOLO4D: A Spatio-temporal Approach for Real-time Multi-object Detection and Classification from LiDAR Point Clouds (NIPSW 18)