Charles R. Qi

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

pointnet2. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

frustum-pointnets. Frustum PointNets for 3D Object Detection from RGB-D Data

pointnet-autoencoder. Autoencoder for Point Clouds

3dcnn.torch. Volumetric CNN for feature extraction and object classification on 3D data.

DIY-Deep-Learning-Workstation. Build a deep learning workstation from scratch (HW & SW).

3dmodel_feature. Code for extracting 3dcnn features of CAD models

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

flownet3d. FlowNet3D: Learning Scene Flow in 3D Point Clouds

votenet-1. Deep Hough Voting for 3D Object Detection in Point Clouds

django-web-demo. Django web app for vision algorithm demo.

charlesq34.github.io. HTML

caffe-render-for-cnn. Caffe version used by Render for CNN. See https://github.com/BVLC/caffe for updated original version.