Brevin Tilmon

I am a PhD student in the Florida Optics and Computational Sensor Lab at the University of Florida where I work on GPU-accelerated computer vision and machine learning algorithms, computational photography (depth sensors, cameras, etc), and embedded linux.

[CV] [Google Scholar] [GitHub] [LinkedIn] [Email]


Energy-Efficient Adaptive 3D Sensing
Brevin Tilmon, Zhanghao Sun, Sanjeev Koppal, Yicheng Wu, Georgios Evangelidis, Ramzi Zahreddine, Guru Krishnan, Sizhuo Ma, Jian Wang
CVPR 2023

[Paper] [Website] [Code] [Supplementary]

SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon and Sanjeev Koppal
ICCV 2021

[Paper] [Website] [Code]

Fast Foveating Cameras for Dense Adaptive Resolution
Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev Koppal
PAMI 2021, ICCP 2020

[Paper] [Website] [Code]

Towards a MEMS-based Adaptive LIDAR
Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev Koppal
3DV 2020

[Paper] [Website]

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] [Website]


holoCu [GitHub]
CUDA-accelerated active depth sensor developed for my CVPR 2023 paper “Energy-Efficient Adaptive 3D Sensing”. Includes an efficient implementation of CUDA-OpenGL interoperability using textures.

illumiGrad [GitHub]
PyTorch abstracted local bundle adjustment for RGBD cameras. Enables easy camera calibration in the wild by abstracting away the scary bundle adjustment math to the PyTorch optimization engine.