Posts by Tags

2D-3D Alignment

3D Convolutional Neural Network

3D Reconstruction

Classification

Data Processing Inequality

Dataset

Dirichlet Process

Expectation Maximization

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

Regression

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

quaternion

reconstruction

recurrent neural network

registration

rotation

scene graph

single view

universal correspondence network