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Towards Occlusion-Aware Multifocal Displays
The human visual system uses numerous cues for depth perception, includi...
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Photosequencing of Motion Blur using Short and Long Exposures
Photosequencing aims to transform a motion blurred image to a sequence o...
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Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters
Many materials have distinct spectral profiles. This facilitates estimat...
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Learning to Separate Multiple Illuminants in a Single Image
We present a method to separate a single image captured under two illumi...
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Towards Multifocal Displays with Dense Focal Stacks
We present a virtual reality display that is capable of generating a den...
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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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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...
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Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars
This paper addresses the problem of estimating the shape of objects that...
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FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared
Cameras for imaging in short and mid-wave infrared spectra are significa...
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LiSens --- A Scalable Architecture for Video Compressive Sensing
The measurement rate of cameras that take spatially multiplexed measurem...
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A Dictionary-based Approach for Estimating Shape and Spatially-Varying Reflectance
We present a technique for estimating the shape and reflectance of an ob...
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Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction
We propose and analyze an online algorithm for reconstructing a sequence...
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Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models
Spatial multiplexing cameras (SMCs) acquire a (typically static) scene t...
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Video Compressive Sensing for Dynamic MRI
We present a video compressive sensing framework, termed kt-CSLDS, to ac...
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Greedy Feature Selection for Subspace Clustering
Unions of subspaces provide a powerful generalization to linear subspace...
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Compressive Acquisition of Dynamic Scenes
Compressive sensing (CS) is a new approach for the acquisition and recov...
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A Theory for Optical flow-based Transport on Image Manifolds
An image articulation manifold (IAM) is the collection of images formed ...
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