A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Codes for "End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization"

Kernel Point Convolution implemented in PyTorch

Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

An implementation of local windowed attention for language modeling

A super simple Python wrapper for the constrained traveling salesman and vehicle routing problem solver LKH-3.

elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

A set of tools to solve TSP problems using the LKH solver

The official Meta Llama 3 GitHub site

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)

[ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

Unsupervised Deep Embedding for Clustering Analysis (DEC)

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

Group-wise Correlation Stereo Network, CVPR 2019

Official code for the paper: Deep Graph Matching under Quadratic Constraint (CVPR 2021)

Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"

[CVPR 24] MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration (TVCG 2022)

Overlap-guided Gaussian Mixture Models for Point Cloud Registration