KangchengLiu

CenterTrack

Simultaneous object detection and tracking using center points.

AB3DMOT

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

libpointmatcher

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

awesome-local-global-descriptor

My personal note about local and global descriptor

BCNet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

TPN

[CVPR 2020] Temporal Pyramid Network for Action Recognition

FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

HR-Depth

[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation

ScanRefer

[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

ViP-DeepLab

FewShotDetection

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

JS3C-Net

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

SG_PR

Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"

RePRI-for-Few-Shot-Segmentation

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

PLARD

Progressive LiDAR Adaptation for Road Detection

HPLFlowNet

Code for our CVPR 2019 paper, HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds.

Point-Spatio-Temporal-Convolution

Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.

BRNet

(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

ACMNet

Adaptive Context-Aware Multi-Modal Network for Depth Completion

kitti-velodyne-viewer

view kitti lidar point cloud with bounding box label

reagent

ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

DetectionTutorialSpaceNet

This is a tutorial on training a network to detect buildings with the SpaceNet data.

contactdb_utils

Python and ROS (C++) utilities for the ContactDB dataset

KPConv_for_DALES

CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization

Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.

visualisation-perception-3D

Several tools for visualizing 3D perception result

BDCI2018-pointnet-

This is the source code for BDCI-2018 阿里巴巴自动驾驶三维点云语义分割 of our team (试一下pointnet)

GEOSLAM

The seismo-lineament analysis method is a tool to spatially correlate a shallow-focus earthquake to the surface trace of the fault that generated it. SLAM is the intellectual property and work product of Vince Cronin. The GEOSLAM Python code was a translation from Vince Cronin's Mathematica files, where this translation was performed by Luke Pajer.

Visualization_KITTI_Waymo

Displays the data for successive frames of Kitti and Waymo;Waymo data parsing is no longer declared here