Aswin C. Sankaranarayanan | DeepAI

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Jian Wang
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∙ 06/28/2023

Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors

We propose OrbCam, a lensless architecture for imaging with spherical se...

0 Yi Hua, et al. ∙

∙ 04/11/2022

Single-Photon Structured Light

We present a novel structured light technique that uses Single Photon Av...

0 Varun Sundar, et al. ∙

∙ 09/29/2021

Programmable Spectral Filter Arrays for Hyperspectral Imaging

Modulating the spectral dimension of light has numerous applications in ...

5 Aswin C. Sankaranarayanan, et al. ∙

∙ 08/18/2021

A Simple Framework for 3D Lensless Imaging with Programmable Masks

Lensless cameras provide a framework to build thin imaging systems by re...

13 Yucheng Zheng, et al. ∙

∙ 05/02/2020

Towards Occlusion-Aware Multifocal Displays

The human visual system uses numerous cues for depth perception, includi...

9 Jen-Hao Rick Chang, et al. ∙

∙ 12/11/2019

Photosequencing of Motion Blur using Short and Long Exposures

Photosequencing aims to transform a motion blurred image to a sequence o...

24 Vijay Rengarajan, et al. ∙

∙ 05/13/2019

Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters

Many materials have distinct spectral profiles. This facilitates estimat...

0 Vishwanath Saragadam, et al. ∙

∙ 11/29/2018

Learning to Separate Multiple Illuminants in a Single Image

We present a method to separate a single image captured under two illumi...

4 Zhuo Hui, et al. ∙

∙ 05/27/2018

Towards Multifocal Displays with Dense Focal Stacks

We present a virtual reality display that is capable of generating a den...

0 Jen-Hao Rick Chang, et al. ∙

∙ 01/26/2018

KRISM --- Krylov Subspace-based Optical Computing of Hyperspectral Images

Low-rank modeling of hyperspectral images has found extensive use in num...

0 Vishwanath Saragadam, et al. ∙

∙ 03/29/2017

One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

While deep learning methods have achieved state-of-the-art performance i...

0 J. H. Rick Chang, et al. ∙

∙ 12/16/2015

Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars

This paper addresses the problem of estimating the shape of objects that...

0 Zhuo Hui, et al. ∙

∙ 04/16/2015

FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared

Cameras for imaging in short and mid-wave infrared spectra are significa...

0 Huaijin Chen, et al. ∙

∙ 03/14/2015

LiSens --- A Scalable Architecture for Video Compressive Sensing

The measurement rate of cameras that take spatially multiplexed measurem...

0 Jian Wang, et al. ∙

∙ 03/14/2015

A Dictionary-based Approach for Estimating Shape and Spatially-Varying Reflectance

We present a technique for estimating the shape and reflectance of an ob...

0 Zhuo Hui, et al. ∙

∙ 03/11/2015

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction

We propose and analyze an online algorithm for reconstructing a sequence...

0 João F. C. Mota, et al. ∙

∙ 03/09/2015

Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models

Spatial multiplexing cameras (SMCs) acquire a (typically static) scene t...

0 Aswin C. Sankaranarayanan, et al. ∙

∙ 01/30/2014

Video Compressive Sensing for Dynamic MRI

We present a video compressive sensing framework, termed kt-CSLDS, to ac...

0 Jianing V. Shi, et al. ∙

∙ 03/19/2013

Greedy Feature Selection for Subspace Clustering

Unions of subspaces provide a powerful generalization to linear subspace...

0 Eva L. Dyer, et al. ∙

∙ 01/23/2012

Compressive Acquisition of Dynamic Scenes

Compressive sensing (CS) is a new approach for the acquisition and recov...

0 Aswin C. Sankaranarayanan, et al. ∙

∙ 11/22/2011

A Theory for Optical flow-based Transport on Image Manifolds

An image articulation manifold (IAM) is the collection of images formed ...

0 Sriram Nagaraj, et al. ∙

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