Category: University of Maryland

This assignment used PyTorch to train neural networks for the tasks of image classification and image segmentation.

This assignment implemented the Affine Structure from Motion algorithm which continues the interest point detection and tracking problem from HW2.

This assignment aims to implement an algorithm for automatically estimating homography with RANSAC; Also the normalized 8-point algorithm; and the Image Stitching Algorithm.

This assignment aims to get familiar with shape alignment using the iterative closest point (ICP) algorithm; And object instance recognition using SIFT features and the nearest neighbor distance ratio test.

This is the final project for class CMSC320. The title of this project is “Analysis of Crime Data in Washington, D.C.”

The purpose of this assignment is to practice and experiment with linear regression using data from gapminder.org. 

This assignment implemented a corner detector and feature tracker that track features from the image sequence hotel.

This assignment aims to explore image processing techniques, specifically hybrid images and pyramids.

The purpose of this assignment is to apply data wrangling and exploratory data analysis techniques to baseball data in order to evaluate the effectiveness of Moneyball strategy used by the Oakland A’s baseball team.