Kangcheng Liu Jimmy (KangchengLiu)

KangchengLiu

Geek Repo

Company:Caltech, ETH Zurich, CUHK

Location:US

Home Page:https://kangchengliu.github.io/

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Kangcheng Liu Jimmy's repositories

Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

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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)

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Feature-Geometric-Net-FG-Net

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

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FAC_Foreground_Aware_Contrast

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

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RM3D

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

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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

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awesome-semantic-segmentation

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

deep-learning-localization-mapping

A collection of deep learning based localization models

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Wind_Turbine_Control_Code

Wind Turbine Control Code

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KangchengLiu.github.io

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

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Attentional-PointNet

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

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Weakly-Supervised-3D

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

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SA-Det3D

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

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SFA3D

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

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KPConv

Kernel Point Convolutions

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labelme

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

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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ros_deep_learning

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

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3D-BoNet

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

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DepthContrast

DepthContrast self-supervised learning for 3D

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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SC-LIO-SAM

LiDAR-inertial SLAM: Scan Context + LIO-SAM

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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vision

Datasets, Transforms and Models specific to Computer Vision

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XTDrone

UAV Simulation Platform based on PX4, ROS and Gazebo

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