David Parra

I am a PhD student at the University of Wisconsin–Madison, specializing in Computational Imaging and Computer Vision. I am advised by Andreas Velten and Mohit Gupta in the Computational Optics Group.

Previously, I earned a bachelor's degree in Computer Science and Mathematics from the University of Arizona, where I worked with Ali Bilgin as an undergraduate research assistant.

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Research

My research focuses on advancing 3D imaging through next-generation sensor technologies and machine learning. Currently, I am developing algorithms to improve time-of-flight 3D imaging using single-photon avalanche diode (SPAD) cameras, aiming to make depth sensing more accurate and practical. I also have experience in developing supervised vision transformer models for the reconstruction of X-rays.

Hardware-Aware Coding Function Design for Compressive Single-Photon 3D Cameras
David Parra, Felipe Gutierrez-Barragan, Trevor Seets, Andreas Velten
IEEE TPAMI Special Issue (ICCP), 2025
CVPR CCD Poster, 2025
Paper / Supplement

We propose a framework that jointly optimizes the illumination waveform and coding functions that adhere to hardware constraints for compressive single-photon 3D cameras.

SiT
Sinogram Transformers: Accelerating Radial MRI using Vision Transformers
David Parra, Philip Martin, Maria Altbach, Ali Bilgin
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2022
Paper

Developed and trained supervised transformer vision models for the reconstruction of sinogram scans to reduce acquisition time.