Scale Invariant Feature Transform (SIFT) Detector and Descriptor

original address:

Dense Conditional Random Field

The purpose of this article is to fully understand two classical papers: Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials, and Conditional Random Fields as Recurrent Neural Network.

GANs, cGANs, AE, AAE, AVE, CAAE, CAVE

The difference between each other.

Computer Vision Application

All categories are benefiting from deep learning. And deep learning is continuingly creating beyond of…

Difference between Different Neural Networks

Autoencoder is a simple 3-layer neural network where output units are directly connected back to input units. E.g. in a network like this:

Conferences and Journals for Computer Vision Area

Graph-based Computer Vision Algorithm

In computer vision, an image is usually modeled as a graph wherein each pixel or superpixel is a vertex and each vertex is connected to other defined neighbors (the most commonly is 4, up, down, left, right, there is also fully connected). Based on different…

How to read research papers

A summary from this video:

Companies that Computer Vision related Engineers can work for

Today I was make arrangement to attend CVPR 2018 conference hold in Salt Lake city, Utah, USA, and the following companies are from the exhibitor list on this top conference. I think it is a pretty complete list for the…