mineysm

mineysm's Stars

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.1k631.6k1.5k

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.3k804621.2k

• zju3dv/LoFTR

  Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

  Language:Jupyter Notebook2.2k45217351

• zju3dv/NeuralRecon

  Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

  Language:Python2k49132296

• ADLab-AutoDrive/BEVFusion

  Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

  Language:Python7121892100

• hku-mars/IKFoM

  A computationally efficient and convenient toolkit of iterated Kalman filter.

  Language:C++41891776

• YuePanEdward/GH-ICP

  GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric [3DV' 18]

  Language:C++381101680

• yewzijian/RPMNet

  RPM-Net: Robust Point Matching using Learned Features (CVPR2020)

  Language:Python339164259

• Tsinghua-MARS-Lab/futr3d

  Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection

  Language:Python267165839

• w1oves/Rein

  [CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>

  Language:Python20355519

• Gregjksmith/Iterative-Closest-Point

  Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

  Language:C++1415332

• jianzhnie/deep-marl-toolkit

  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

  Language:Python992412

• chsl/PLADE

  PLADE: A Plane-based Descriptor for Point Cloud Registration with Small Overlap

  Language:C++987313

• Seleucia/lstmkf_ICCV2017

  Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization

  Language:Python966324

• Pamphlett/Segregator

  [ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues

  Language:C++902310

• gkswamy98/fast_irl

  Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.

  Language:Jupyter Notebook45415

• kxhit/semantic-icp

  fork from https://bitbucket.org/saparkison/semantic-icp/src

  Language:C++372111

• withtimesgo1115/3D-point-cloud-global-registration-based-on-RANSAC

  In this case, implement RANSAC global registration algorithm using python without library

  Language:Python31214

• ChevronOne/pc_alignment_tools

  Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS

  Language:C++29106

• Runjian-Chen/CO3

  Language:Python28732

• UP-RS-ESP/PointCloudWorkshop-May2022

  Point Cloud and Change Detection in the Geoscience

  Language:Jupyter Notebook26709

• prabinrath/dynamicslamtool

  Source Code for the DATMO algorithm I developed during my Summer Internship @ University of Calgary

  Language:C++21226

• TerenceCYJ/4DContrast

  4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022

  17300

• AndrosovAS/intvalpy

  IntvalPy - a Python interval computation library

  Language:Python103123

• vincenzo0603/rangenet_lib_forTensorRT8XX

  Language:C++9201

• quan-dao/pc-corrector

  This implementation of our paper "Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow" published in IEEE Intelligent Vehicles Symposium (IV) 2023"

  Language:Python8201

• MurpheyLab/FLS

  FLS point cloud registration library.

  Language:Python7500

• beyoglubora/Kalman_Filter

  This repo is my own implementation of the kalman filter with the kalman smoother and EM algorithm for EEG time series modeling

  Language:Jupyter Notebook4

• navoday01/Point-cloud-alignment-with-ICP

  The project proposes Point Cloud registration using ICP (Iterative Closest Point ) algorithm for precise 3D model alignment.

  Language:C++4102

• singhmf/BPKF_Beta

  Brain Model Estimation (M/EEG) using the Backpropagated Kalman Filter

  Language:MATLAB3