Program Overview

Research Experience for Undergraduates in Computer Vision

The Research Experience for Undergraduates (REU) in Computer Vision is a program designed to provide undergraduate students with hands-on experience in computer vision research. The program is hosted by the Center for Research in Computer Vision at the University of Central Florida.

Participants

The program participants come from various universities and backgrounds. The current participants include:

• Elvis Cabrera - Miami Dade College
• Genesis Escobar - University of Central Florida
• Joseph Ho - University of Wisconsin-Madison
• Jevon Joseph - Randolph College
• James Moseley - University of Central Florida
• Brett Reynolds - Northeastern State University
• Adeel Siddiqi - University of Central Florida
• Jasmine Sun - Washington University in St. Louis
• Keerthi Veeramachaneni - Georgia Institute of Technology
• Claire Zhang - Brown University

Each participant is working on a research project under the guidance of a mentor. The projects include:

• Geolocation of Strawberries
• Investigating and probing diffusion models
• Time-of-capture predictions
• Self-supervised retrieval of geolocation using a transformer
• Evaluating and bypassing data-free model stealing defenses
• Synthetic Meets Real: A Hybrid Approach to Boost Clip Model Performance
• Uncertainty Estimation in Medical Image Deep Learning
• AI-Generated Video Context Detection using Vision Language Models
• SEM Image Analysis for Material Characterization

Tentative Schedule

The program schedule includes a mix of lectures, tutorials, and research work. The tentative schedule is as follows:

• Week 1: Orientation, software installation, programming tutorials, and introduction to computer vision
• Week 2-10: Research work, group meetings, and office hours with mentors
• Week 11: Final presentations, poster sessions, and graduation ceremony

Research Areas

The program covers various research areas in computer vision, including:

• Image classification
• Object detection
• Segmentation
• Tracking
• Deep learning
• Machine learning
• Computer vision applications in medical imaging, robotics, and autonomous vehicles

Program Details

The program is designed to provide undergraduate students with a comprehensive research experience in computer vision. The program includes:

• A 10-week research project under the guidance of a mentor
• Weekly group meetings and office hours with mentors
• Tutorials and lectures on computer vision and deep learning
• A final presentation and poster session
• A graduation ceremony and celebration dinner