Kangcheng Liu Jimmy's repositories
Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
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
FAC_Foreground_Aware_Contrast
[CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast
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
awesome-semantic-segmentation
:fire: :muscle: :metal: My summary of awesome-semantic-segmentation
deep-learning-localization-mapping
A collection of deep learning based localization models
Wind_Turbine_Control_Code
Wind Turbine Control Code
KangchengLiu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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
ros_deep_learning
Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT
DepthContrast
DepthContrast self-supervised learning for 3D
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
SC-LIO-SAM
LiDAR-inertial SLAM: Scan Context + LIO-SAM
torch-points3d
Pytorch framework for doing deep learning on point clouds.