KangchengLiu

DLC_LiDAR_SLAM

:fire: :muscle: Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM, TMECH-2023)

Feature-Geometric-Net-FG-Net

:fire: :muscle: FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding

polarmix

Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"

CoBigICP

[IROS 2020] CoBigICP: COrrentropy based BIdirectional Generalized ICP

papers_reading_sharing.github.io

Sites to share deep learning related papers and their digests

FAC_Foreground_Aware_Contrast

[CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast

RM3D

:fire: :muscle: RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-based Semantic Region Merging (IJCV 2022)

visualDet3D_ros

A naive ROS interface for visualDet3D.

FPS-Net

Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".

slam_resources

:fire: :muscle: My summary of LiDAR-Inertial and Visual SLAM: Including Frond-end, Back-end, State Estimation, Motion Estimation, Monocular/Stereo/RGB-D Mapping, and Loop Closure Detection

Two-ACIR

awesome-semantic-segmentation

:fire: :muscle: :metal: My summary of awesome-semantic-segmentation

deep-learning-localization-mapping

A collection of deep learning based localization models

CAD-Net

Wind_Turbine_Control_Code

Wind Turbine Control Code

KangchengLiu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Weakly-Supervised-3D

Weakly Supervised Framework for 3D Scene Understanding-European Conference on Computer Vision 22

PingAnKaiChe

Attentional-PointNet

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

Weakly-Supervised-3D

Weakly Supervised Framework for 3D Scene Understanding-European Conference on Computer Vision 22

FACAD170K-dataset

SA-Det3D

SA-Det3D: Self-attention based Context-Aware 3D Object Detection

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

video-pace

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

KPConv

Kernel Point Convolutions

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

ros_deep_learning

Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT

Vehicle_sw

Domain-Adaptative-Semantic-Segmentation-Comparisons

Comparisons of Various of Domain Adaptative Semantic Segmentation Algorithms