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cvpr-2020-point-cloud-analysis

CVPR 2020 papers focusing on point cloud analysis

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

cylinderdetection

Implementation of my article "Connectivity-based Cylinder Detection in Unorganized Point Clouds"

d-fcn

d3feat.pytorch

[PyTorch] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

dance-net

Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR point cloud classification

dare

Density Adaptive Point Set Registration

dasos

dat

dbnet

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

dbscan

Pretty fast DBSCAN C++ Boost OpenMP implementation

dcp

dcpcr

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments

deep-collison-checker

deep-hough-transform-line-priors

Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)

deep-learning-localization-mapping

A collection of deep learning based localization models

deep-terrain-classification

Source code to run the algorithms presented in the paper titled "Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification"

deepcrack

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

deepfit

Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"

deepglobalregistration

[CVPR 2020 Oral] A differentiable framework for 3D registration

deepi2p

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

deeplio

Deep Lidar Inertial Odometry

deepsfm

This is a PyTorch implementation of the ECCV2020 paper "DeepSFM: Structure From Motion Via Deep Bundle Adjustment".

deepviewagg

PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

deformationpyramid

Non-rigid Point Cloud Registration with Neural Deformation Pyramid

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

detectwindows

DetectWindows from point clouds of buildings

detr3d

dgm

Direct Graphical Models (DGM) C++ library, a simple-to-use Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

dh3d

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization