Christina Shatford will present her General Exam "Simultaneous Pattern and Detector Optimization for Visual Tags" on Thursday, May 18, 2023 at 3:00 PM in CS 402. Committee Members: Szymon Rusinkiewicz (advisor), Ryan Adams, Olga Russakovsky Abstract: Accurate and robust object localization has been a long studied problem in computer vision. In this work, I present a new approach for localizing visual tags in images. Instead of optimizing a detector to locate a tag with a static pattern, this approach involves the simultaneous optimization of both the detector and the pattern of the visual tag. I will show how this joint learning leads to increased localization accuracy when compared to only training the detector and using a QR code or AprilTag, two standard static tags. In addition, I will discuss how pivoting away from tags in general, to an approach that uses steganography inspired techniques to hide a payload in the spatial domain of images, has its own host of useful applications. Reading List: [ https://docs.google.com/document/d/1_h9vNeeefjGkkD1FueUpRXBuLvTfGZrR2r6eX46T... | https://docs.google.com/document/d/1_h9vNeeefjGkkD1FueUpRXBuLvTfGZrR2r6eX46T... ] Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so. Louis Riehl Graduate Administrator Computer Science Department, CS213 Princeton University (609) 258-8014