bxiang233

Pinned Repositories

ASIS
Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
Language:Python00
ISC
ETHZ 2021 ISC course
Language:Jupyter Notebook0 0 00
KPConv
Kernel Point Convolutions
Language:Python0 0 00
PointGroup
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Language:Python00
standard-readme
A standard style for README files
Language:Shell0 0 00
tf-dagmm
Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018
Language:Python0 0 00
torch-points3d
Pytorch framework for doing deep learning on point clouds.
Language:Python0 0 00
ForAINet
official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"
Language:Python53 2 129
PanopticSegForLargeScalePointCloud
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
Language:Python80 5 1610
PanopticSegForMobileMappingPointClouds
Source code for paper entitled "A Review of Panoptic Segmentation for Mobile Mapping Point Clouds"
Language:Python16 3 04

bxiang233's Repositories

bxiang233/ASIS
Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
Language:Python00
bxiang233/ISC
ETHZ 2021 ISC course
Language:Jupyter Notebook0 0 00
bxiang233/KPConv
Kernel Point Convolutions
Language:Python0 0 00
bxiang233/PointGroup
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Language:Python00
bxiang233/standard-readme
A standard style for README files
Language:Shell0 0 00
bxiang233/tf-dagmm
Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018
Language:Python0 0 00
bxiang233/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Language:Python0 0 00