✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Implementation of TriMap dimensionality reduction in PyTorch

Worked towards using the encoder-decoder network along with long short term memory (LSTM) network in order to develop the framework for solving the video matting problem.

A Stata package for tri-variate maps

A set of out-of-the-box dimensionality reduction techniques conducted on the HAR dataset, utilizing Python

Python implementation of paper "A Bayesian approach to digital matting"

Predicting an alpha matte from an image and a trimap.