✂️ 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.

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

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

A Stata package for tri-variate maps

Predicting an alpha matte from an image and a trimap.