Caleb Ellington

For this year's final project in "Intro to Graduate ML", Daniel Jeong, Anush Devadhasan, and myself were tasked with the facial expression recognition problem (check out our in-depth presentation here: https://youtu.be/mPtWvemach8). The objective is fairly simple: given a 48x48 greyscale image of a face, predict the emotion on that face. The amount of variation between faces and features our brains automatically account for makes this task deceptively difficult for machines. Originally, we used ...