8 citations · 30 across the 10 of their papers we have counts for
5 papers · 1 filter
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics
Vishwanath Saragadam, Zheyi Han, Vivek Boominathan +7
Foveated imaging provides a better tradeoff between situational awareness (field of view) and resolution and is critical in long-wavelength infrared regimes because of the size, we…
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
PSF: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra +3
We propose a compact snapshot monocular depth estimation technique that relies on an engineered point spread function (PSF). Traditional approaches used in microscopic super-resolu…
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan +1
DeepTensor is a computationally efficient framework for low-rank decomposition of matrices and tensors using deep generative networks. We decompose a tensor as the product of low-r…
MINER: Multiscale Implicit Neural Representations
Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan +2
We introduce a new neural signal model designed for efficient high-resolution representation of large-scale signals. The key innovation in our multiscale implicit neural representa…