Charles R. Qi

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

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

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

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

Build a deep learning workstation from scratch (HW & SW).

Autoencoder for Point Clouds

Code for extracting 3dcnn features of CAD models

PyTorch Tutorial for Deep Learning Researchers

Deep Hough Voting for 3D Object Detection in Point Clouds

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Django web app for vision algorithm demo.

No description.

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

Caffe: a fast open framework for deep learning.

Tensorflow Faster RCNN for Object Detection

Single Shot MultiBox Detector in TensorFlow

No description.

Modules for spatial transformer networks (BHWD layout)

CS221 Course Project