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addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

albany

Sandia National Laboratories' Albany multiphysics code

awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

bachelor-thesis-superpixels

Bachelor thesis "Superpixel Segmentation using Depth Information", including a thorough comparison of several state-of-the-art superpixel algorithms.

clusteringsegmentation

Point cloud segmentation using radially bounded nearest neighbor clustering

contourtosurfaceregistration

Registration between 2D contour and a 3D image based on ITK

covgt-3dregistration-matlab

A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver

cp_pfdr_graph_d1

Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation

cpd

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

cut-pursuit

C++ implementation for the cut pursuit algorithm, with Matlab interfaces

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

dense-landmark-detection

Learning Deep Representation from Coarse to Fine for Face Alignment

depth_clustering

Fast and robust clustering of point clouds generated with a Velodyne sensor.

displaz

A hackable lidar viewer

disputation

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

entwine

Point cloud indexing for massive datasets

featurebasedalignment

Registration for point clouds

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

hdjob

hdjob

image-registration

Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

jpapon.github.io

Disputation Slide Show

las-vegas-reconstruction

Automatic Surface Reconstruction from Point Cloud Data

lastools

efficient tools for LiDAR processing

lidarviewer

Highly interactive application for processing, visualization and analysis of large 3D point cloud data, such as produced by terrestrial or airborne LiDAR scanning

linematching

Line matching code of ECCV2016

linesegmentmatching