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:
Everyone is invited to attend the talk, and those faculty wishing to remain for the oral exam following are welcome to do so.