Posts by Tags

2D-3D Alignment

3D Convolutional Neural Network

3D Features

3D Reconstruction

3D semantic segmentation

3D vision

4D convolutional neural network

Classification

Data Processing Inequality

Dataset

Dirichlet Process

Expectation Maximization

Extension

Pytorch Extension with a Makefile

Pytorch is a great neural network library that has both flexibility and power. Personally, I think it is the best neural network library for prototyping (adv...

FFT

Free Form Deformation

Gaussian Process

Learning Gaussian Process Covariances

A Gaussian process is a non-parametric model which can represent a complex function using a growing set of data. Unlike a neural network, which can also lear...

Gaussian Process Regression

Generative Adversarial Network

Google Protocol Buffer

Information Theory

Inverse Reinforcement Learning

Loss

Matrix Calculus

NZ-WHO

Neural Networks

Nonparametric Bayesian

Pytorch

Pytorch Extension with a Makefile

Pytorch is a great neural network library that has both flexibility and power. Personally, I think it is the best neural network library for prototyping (adv...

Regression

Representation Learning

Variational Inference

Wasserstein distance

back propagation

barycentric coordinate

caffe

Making a Caffe Layer

Caffe is one of the most popular open-source neural network frameworks. It is modular, clean, and fast. Extending it is tricky but not as difficult as extend...

correspondence

f-divergence

fully convolutional neural network

matrix norm

mesh

multi view

neural network

point cloud

prediction

python

reconstruction

recurrent neural network

registration

scene graph

single view

spatio-temporal perception

universal correspondence network