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Name: Dr. Connie Williams

Type: User

Company: MIT Media Lab

Bio: Connie is a deep learning researcher with a strong interest in attention mechanisms and semantic segmentation. FTM.

Location: Boston, MA

Dr. Connie Williams's Projects

advanced-object-detection-kit

Advanced 3D object detection and recognition based on RGBD Image utilizing Pointcloud and Artificial Neural Network within ROS Workspace

efficient-image-segmentation-k-means

This project employs the K-means algorithm, an unsupervised clustering method, to segment gray-scale and colored images based on the inherent distance among data points.

gmm-image-segmentation

The repository contains code for Image Segmentation using Gaussian Mixture Models. Great tool for understanding the concepts on a deeper level.

page-seg-helper

Modified version of the page segmentation code, now accommodating smaller strips of an image. Primarily tested with OCRopus and the UW-III dataset.

rabbit-guard

Leverages computer vision for rabbit deterrence to prevent vegetable consumption

software-engineering-ai-dataset-tool

A robust platform for creating large-scale datasets for empirical software science research and training deep learning models for software engineering automation tasks.

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