pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Marching cubes (and related tools) for Python

Generating 3D Adversarial Point Clouds

Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.

view kitti lidar point cloud with bounding box label

TensorFlow Tutorials

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Multi-View 3D Object Detection Network for Autonomous Driving

Code Repository to check robustness of 3D Deep Learning (Volumetric and PointNet) to occlusion attacks

A PyTorch implementation of the paper “VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection"

OSG learning step.