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04/03/2023
Thermal Spread Functions (TSF): Physics-guided Material Classification
Robust and non-destructive material classification is a challenging but ...
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01/05/2023
WIRE: Wavelet Implicit Neural Representations
Implicit neural representations (INRs) have recently advanced numerous v...
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12/13/2022
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics
Foveated imaging provides a better tradeoff between situational awarenes...
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07/03/2022
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
We propose a compact snapshot monocular depth estimation technique that ...
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04/07/2022
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
DeepTensor is a computationally efficient framework for low-rank decompo...
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02/07/2022
MINER: Multiscale Implicit Neural Representations
We introduce a new neural signal representation designed for the efficie...
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09/29/2021
Programmable Spectral Filter Arrays for Hyperspectral Imaging
Modulating the spectral dimension of light has numerous applications in ...
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08/18/2021
Thermal Image Processing via Physics-Inspired Deep Networks
We introduce DeepIR, a new thermal image processing framework that combi...
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12/28/2020
SASSI – Super-Pixelated Adaptive Spatio-Spectral Imaging
We introduce a novel video-rate hyperspectral imager with high spatial, ...
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11/16/2019
On Space-spectrum Uncertainty Analysis for Coded Aperture Systems
We introduce and analyze the concept of space-spectrum uncertainty for c...
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05/13/2019
Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters
Many materials have distinct spectral profiles. This facilitates estimat...
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01/26/2018
KRISM --- Krylov Subspace-based Optical Computing of Hyperspectral Images
Low-rank modeling of hyperspectral images has found extensive use in num...
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11/16/2015
