"If you try and take a cat apart to see how it works, the first thing you have on your hands is a non-working cat."
- Douglas Adams
I'm interested in the end-to-end optimization of imaging pipelines, from modeling signal collection
to feature extraction and high-level scene understanding tasks. MRIs or Time-of-Flight cameras, I
love getting hands-on with real devices and noisy data.
Centimeter-Wave Free-Space Time-of-Flight Imaging
Arxiv Preprint, 2021
Modern AMCW time-of-flight (ToF) cameras are limited to modulation frequencies of several hundred MHz by silicon absorption limits. In this work we leverage electro-optic modulators to build the first free-space GHz ToF imager. To solve high-frequency phase ambiguities we alongside introduce a segmentation-inspired neural phase unwrapping network.
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Flying pixels are pervasive depth artifacts in time-of-flight imaging, formed by light paths from
both an object and its background connecting to the same sensor pixel. Mask-ToF jointly learns a
microlens-level occlusion mask and refinement network to respectively encode and decode geometric
information in device measurements, helping reduce these artifacts while remaining light efficient.
Self-Contained Jupyter Notebook Labs Promote Scalable Signal Processing Education
6th International Conference on Higher Education Advances, 2020
Jupyter Notebook labs can offer a similar experience to in-person lab sections while being
self-contained, with relevant resources embedded in their cells. They interactively demonstrate
real-life applications of signal processing while reducing overhead for course staff.
Link to Jupyter Notebook Exercises
Multiscale Low-Rank Matrix Decomposition for Reconstruction of Accelerated Cardiac CEST
28th Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 2020
Leveraging sparsity in the Z-spectrum domain, multi-scale low rank reconstruction of cardiac
chemical exchange saturation transfer (CEST) MRI can allow for 4-fold acceleration of scans while
providing accurate Lorentzian line-fit analysis.
Duodepth: Static Gesture Recognition Via Dual Depth Sensors
IEEE International Conference on Image Processing (ICIP), 2019
Point cloud data integrated from two structured light sensors for gesture recognition implicitly via
a 3D spatial transform network can lead to improved results as compared to iterative closest point
(ICP) registered point clouds.
Inspection Route Optimization
Eighth Montréal Industrial Problem Solving Workshop, 2017
Property inspection routes can be formulated into graph optimization problem, decomposed into
weekly/yearly constraints for reduction to team orienteering problem (TOP).