About

I lead the Algorithm Group at Quidient where we work on generalized scene reconstruction. Previously, I received my PhD from the FOCUS Lab at the University of Florida working with Sanjeev Koppal on computer vision and computational photography. During my PhD I had the chance to intern in the Computational Imaging Group at Snap Research, 3D Sensing Group at Meta Reality Labs, and NASA Intelligent Robotics Group. I am broadly interested in visual computing, from silicon to pixels.

Work experience

Projects

apple-log2linear

Convert Apple ProRes Log video to radiometrically and geometrically calibrated 10 bit HDR images using my Apple Log Profile implementation to bypass Apple's computational photography for improved pose estimation, radiance fields, photogrammetry, and so on.

• Radiance Fields
• GitHub

Foveated Computational Imaging

Brevin Tilmon

PhD Dissertation, University of Florida, 2023

• Paper

Energy Efficient Adaptive 3D Sensing

Brevin Tilmon, Zhanghao Sun, Sanjeev J. Koppal, Yicheng Wu, Georgios Evangelidis,

Ramzi Zahreddine, Gurunandan Krishnan, Sizhuo Ma, Jian Wang.

CVPR, 2023.

• Project page
• Paper

SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing

Brevin Tilmon, Sanjeev J. Koppal.

ICCV, 2021.

• Project page
• Paper

FoveaCam: A MEMS Mirror Enabled Foveating Camera

Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev J. Koppal.

TPAMI, 2021. ICCP, 2020.

• Demo
• Project page
• Paper

Towards a MEMS-based Adaptive LIDAR

Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon,

Ayan Chakrabarti, Sanjeev J. Koppal.

3DV, 2020.

• Project page
• Paper

Design and Calibration of a Fast Flying-Dot Projector for Dynamic Light Transport Acquisition

Kristofer Henderson, Xiaomeng Liu, Justin Folden, Brevin Tilmon,

Suren Jayasuriya, and Sanjeev Koppal

Transactions on Computational Imaging, 2020.

• Paper

© 2024 Brevin Tilmon