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1447121704's Projects

3dlinedetection icon 3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

3dmatch-toolbox icon 3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

alignnet-3d icon alignnet-3d

AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cpd icon cpd

C++ implementation of the Coherent Point Drift point set registration algorithm.

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

extended-kalman-filter icon extended-kalman-filter

Matlab and C++ code for implementation of the Extended Kalman Filter for estimating dynamic quantities for a single rigid body with distributed force/torque measurements and distributed gyroscopes and accelerometers measurements.It also include estimation of the orientation under the quaternion representation.

fast_gicp icon fast_gicp

A collection of GICP-based fast point cloud registration algorithms

fmr icon fmr

This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"

gh-icp icon gh-icp

GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric

gndnet icon gndnet

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

ifp-sample icon ifp-sample

Cython iterative farthest point sampling implementation

infrared-target-detection icon infrared-target-detection

This is the code for paper "Infrared small target detection in compressive domain, Electronics Letters, 2014"

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learning3d icon learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

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