I am a technical lead at
Quidient working on the core algorithms team. I work in 3D reconstruction and computer graphics for our scene reconstruction engine Quidient Reality and do applied machine learning work for product lines that wrap Quidient Reality such as Quidient Hail, Quidient Virtualize, and various government contracts. I obtained my PhD from the University of Florida, where I was part of the
Florida Optics and Computational Sensor Lab, supervised by
prof. Sanjeev Koppal.
- Automotive Hail Reconstruction with Quidient Reality
Millimeter-level inverse rendering of hail damage on specular car surfaces from smartphone video.
2025 [Quidient Blog]
- apple-log2linear
Custom implementation of Apple ProRes Log decoding for calibrated iPhone video.
2025 [radiance fields]
[github]
- Foveated Computational Imaging
PhD Dissertation, 2023
[paper]
- Energy Efficient Adaptive 3D Sensing
Brevin Tilmon, Zhanghao Sun, Sanjeev Koppal, Yicheng Wu, Georgios Evangelidis, Ramzi Zahreddine, Gurunandan Krishnan, Sizhuo Ma, Jian Wang
CVPR 2023
[paper]
[project page]
- illumiGrad
RGBD bundle adjustment in PyTorch.
2021 [github]
- SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon, Sanjeev Koppal
ICCV 2021
[paper]
[project page]
- FoveaCam: A MEMS Mirror Enabled Foveating Camera
Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev Koppal
TPAMI 2021, ICCP 2020
[paper]
[project page]
- Towards a MEMS-based Adaptive LIDAR
Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev Koppal
3DV 2020
[paper]
[project page]
- Design and Calibration of a Fast Flying-Dot Projector for Dynamic Light Transport Acquisition
Kristofer Henderson, Xiaomeng Liu, Justin Folden, Brevin Tilmon, Suren Jayasuriya, Sanjeev Koppal
Transactions on Computational Imaging 2020
[paper]
- Novel Approach of Wavelet Analysis for Nonlinear Ultrasonic Measurements and Fatigue Assessment of Jet Engine Components
Gheorghe Bunget, Brevin Tilmon, Andrew Yee, Dylan Stewart, James Rogers, Matthew Webster, Kevin Farinholt, Fritz Friedersdorf, Marc Pepi, Anindya Ghoshal
American Institute of Physics 2018
[paper]
- IEEE SoutheastCon Hardware Competitions
Competitive and fun undergraduate robotics competitions involving computer vision, embedded software and hardware, and 3D printing. We placed in the top 20% every year out of 50 schools.
2015-2019
[robot 1]
[robot 2]