Name: Fei Xia
Type: User
Company: Google, Inc.
Bio: Research Scientist @google-research, previously Ph.D. @StanfordVL @cvgl
Computer Vision and Robotics
Twitter: xf1280
Location: Mountain View, CA
Blog: https://fxia22.github.io
Fei Xia's Projects
demos for ios study.
Jekyll is a blog-aware, static site generator in Ruby
implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Collect large 3d dataset and build models
Package to use Wolfram Language in your LaTeX documents
A differentiable LCP physics engine in PyTorch.
Show random maxim in my blog posts.
A PyTorch port of the Neural 3D Mesh Renderer
Software accompanying "NeuralFDR: Learning Discovery Thresholds from Hypothesis Features"
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
An open source Agar.io server implementation, written with Node.js.
An open source Ogar client, written in node.js. Based on the work done for agar-clone.
The process of studying OpenGL
My personal website, running on jekyll.
An implementation of physically based shading model & image based lighting in various graphics APIs.
A Picture Management software using MFC
A torch implementation of "Pixel-Level Domain Transfer"
point set generative adversarial nets
Autoencoder for Point Clouds
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Documentation and source code for all Pilotmoon's PopClip extensions.
Tutorial on deploying machine learning models to production
Convert cubemap image to equirectangular spherical projection.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Quine–McCluskey algorithm http://en.wikipedia.org/wiki/Quine%E2%80%93McCluskey_algorithm