Degree:
Ph.D. - ECE
Ph.D. - ECE
Specialization:
Electrical Engineering
Advisor:
Benjamin Riggan
Benjamin Riggan
About Me:
Academic Degrees
- M.S., Electrical Engineering, University of Nebraska-Lincoln, 2020
- B.S., Electrical Engineering, University of Nebraska-Lincoln, 2017
Areas of Research and Professional Interest
- Domain Adaptation
- Computer Vision
- Machine Learning & Deep Learning
Selected Publications
Conference Proceedings: Peer reviewed
- Peace, J. Brennan, et al. "E2etag: An end-to-end trainable method for generating and detecting fiducial markers." arXiv preprint arXiv:2105.14184 (2021).
- Peace, J. Brennan, and Benjamin S. Riggan. "Out-of-distribution 3D object generation for enhanced pose estimation." Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications. Vol. 12529. SPIE, 2023.
Thesis
- Peace, J. Brennan. "An End-to-End Trainable Method for Generating and Detecting Fiducial Markers." (2020).