The ECU Computer Vision Lab is led by Dr. David Hart and investigates topics in the fields of computer vision and machine learning. The lab consists of undergraduate and graduate students of various backgrounds and expertises. If you are an ECU student and would like to join the lab, please contact Dr. Hart directly. Applicants should generally have a good mathematical background and programming skills in Python.
Look at our Current Research Topics page to learn more.
Optimization-Free Style Transfer for 3D Gaussian Splats
Raphael Du Sablon, ****David Hart
(Accepted to WACV 2026)
A Framework for Evaluating Predicted Sperm Trajectories in Crowded Microscopy Videos
David Hart, Kylie Cashwell, Anita Bhandari, Jayath Premasinghe, Cameron Schmidt
PLOS Computational Biology
Evolving PITON: AI-Driven Conversations with IoT Data - Colby Sawyer
Simon Polishchuk
MS in Data Science
Research Topic: Machine Learning for EEG Brain Scan Data
Lee Ostadi
MS in Computer Science
Research Topic: Autoencoders for 3D Gaussian Splats
Jayath Premasinghe
MS in Data Science
Research Topic: Cell Tracking
Cecilia Milla
MS in Computer Science
Research Topic: Implementing Priors into Transformers
Sarthak Acharya
BS in Software Engineering
Research Topic: RL for Cell Movements
Oct. 23 2025 - Congratulations to Sarthak Acharya for receiving the URCA grant.
June 23 2025 - Congratulation to Brannon McCutcheon for succesfully defending his Masters Thesis: Superpatching for Image Analysis using Transformers and Superpixels
Apr. 23 2025 - Congratulations to Saumya Jaiswal for successfully defending her Masters Thesis: A Framework for Temporal-Based Prediction of Eye Diseases