jayku88 Goto Github PK

2022_mutual_voting

3d-mininet

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

3d-registration-with-maximal-cliques

Source code of CVPR 2023 paper

blendertothree

buffer

[CVPR 2023] BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

gcnet

Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.

geojsontomesh

A quick look at #3D mapping on #HoloLens with #unity. Provides a custom editor to import a Geo Bounding Box into Unity as a 3D mesh which is textured with a satellite image using the Bing Maps static API.

geotransformer

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

glowing-broccoli

graphscnet

[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

gror

GROR:A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

hello-world

My First Repository

hl2ss

HoloLens 2 Sensor Streaming.

holonav

HoloNav is a Mixed Reality indoor navigation system on Microsoft HoloLens 2. The system utilizes Azure Spatial Anchors as virtual landmarks and implements two navigation visualizations

iistslides-16-9-

LaTeX Template for Presentation Slides (16:9 aspect ratio)

insta

interns

linear-algebra

literate-parakeet

machine-learning-lab

Python for Machine Learning resources

msmdff-net

the code for paper "A Multi-Scale and Multi-Direction Fusion Network for Road Detection From Satellite Imagery". The code will be made public after the paper is accepted.

musical-meme

ocs_project

point-nn

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

r-pointhop

R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method

roreg

[TPAMI 2023] RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations

sc2-pcr

SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)

sghr

[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting

sphereformer

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).