3dlidartracking Goto Github PK

bsh-det3d-iros23-

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap

deepmta_pytorch

Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).

lidar_generation-iros19-

Code for "Deep Generative Models for LiDAR Data"

lidar_sot-iros21-

mvp-nips21-

neuralpoints-cvpr22-

【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

nformer-cvpr22-

Implementation of NFormer: Robust Person Re-identification with Neighbor Transformer

p2b_cvpr_2020

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

pa-aug.pytorch-iros21-

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)

point-bert-cvpr22-

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

polarmot-eccv22-

Official code for "PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?" [ECCV 2022]

ptt-iros21-tmm22-

Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"

pttr-cvpr22-

Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer

shasta

Official Code for ShaSTA

shasta-arxiv22-

Official Code for ShaSTA

spot_eccv_2022

voxelnext-cvpr23-

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)